18 Data Scientists jobs in Dublin

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The Red Hat OpenShift AI team is looking for a Principal Machine Learning Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You'll join an ecosystem that fosters continuous learning, career growth, and professional development.
In this role, you will provide key leadership to a talented team of engineers, contributing directly to projects such as Kubeflow, Ray and MLFlow with a primary focus on delivering fine tuning capabilities across the Red Hat AI product portfolio. We're looking for an individual contributor who is open to leading by example to promote a positive supporting team culture, collaborating closely with other developers, stakeholders and cross-functional teams. Embracing an upstream first mentality, you should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
**What you will do**
+ Play a key leadership role within a talented group of engineers, working closely with staff engineers and architects to outline a vision and roadmap for the training and experimentation stack in **OpenShift AI**
+ Work closely with the AI Innovation team to help deliver **LLM training** , continual learning and reinforcement learning techniques across our product portfolio
+ Embrace an upstream first mindset to help our teams become more influential in MLOps focused communities such as **Kubeflow**
+ Liaise with stakeholder groups and cross-functional teams to deliver new product features
+ Ensure non-functional requirements including security, resiliency, and maintainability are met
+ Use **CI/CD best practices** to deliver solutions as productization efforts into **OpenShift AI**
+ Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
+ Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
+ Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
+ Give thoughtful and prompt code reviews
+ Represent **OpenShift AI** in external engagements including industry events, customer meetings, and open source communities
+ Mentor, influence, and coach a distributed team of engineers
**What you will bring**
+ Advanced experience in **Python and Go**
+ Advanced experience developing applications in **Kubernetes, OpenShift,** or other **cloud-native technologies**
+ Ability to quickly learn, adapt and guide others on using new tools and technologies
+ Proven ability to innovate and a passion for staying at the forefront of technology.
+ Experience with distributed systems (especially those that run on Kubernetes) and **troubleshooting** them
+ Autonomous work ethic, thriving in a dynamic, fast-paced environment.
+ Experience providing technical leadership in a global team and delivering on a vision
+ Excellent written and verbal communication skills
+ A willingness to proactively **utilize AI-assisted development tools** such as **Cursor** and **Claude Code** for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
+ Open to exploring and experimenting with emerging **AI technologies** relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling
+ Ability to define and scale testing, automation, and reproducibility standards across ML systems
**The following will be considered a plus:**
+ While a Bachelor's degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
+ Understanding of how **Open Source** communities work
+ Experience working with **upstream communities**
+ Familiarity or experience with the **MLOps lifecycle** , with an emphasis on **model training**
+ Experience writing **Kubernetes/OpenShift controllers and operators**
+ Experience **writing SDKs in Python** or other languages
**About Red Hat**
Red Hat ( is the world's leading provider of enterprise open source ( software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
**Inclusion at Red Hat**
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
**Equal Opportunity Policy (EEO)**
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
**Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.**
**Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email** ** ** **. General inquiries, such as those regarding the status of a job application, will not receive a reply.**

Why PlayStation?

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Mid-Level Machine Learning Engineer - Pricing

Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and also game studios? The work we do delivers highly impactful pricing recommendations to our studios and has strong leadership sponsorship. The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences by designing, coding, training, documenting, cost-effectively deploying, and evaluating business-critical machine learning and AI systems.

We are looking for someone who can architect and build delightful production-grade products for customer-facing experiences, in an agile environment, collaborating with teams across Engineering, Product and Business. You will work on a project backed by executive leadership and poised to significantly influence revenue and user engagement.
You Will:
• Build and maintain ML models that quantify product price-elasticity and cannibalization effect to support multi-period promotions.
• Refine time-series forecasting algorithms to predict demand across multiple regions and product lines.
• Develop optimization workflows (OR-Tools) that balance sales growth and business constraints.
• Refine clustering algorithms to identify lookalike products for smarter pricing and promotional strategies.
• Apply a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of classification, regression, clustering, time series forecasting, uplift modeling, and synthetic data generation.
• Build scalable and resilient ML systems along with appropriate monitoring and continuous evaluation frameworks.
• Work closely with cross-functional partners in business and product to translate requirements into effective, scalable, ML-driven solutions.
• Collaborate with other engineering functions in Client, Server, and QA to drive ML integrations and deliver results.
• Collaborate with ML application teams that power product personalizations and search to further enhance the core experiences of our players.
You Bring:
• Advanced degree (Master's or Ph.D.) in CS/Statistics/Data Science/Operations Research/Econometrics, specializing in machine learning and optimization problems.
• 1+ years of industry experience applying time-series models in production, with hands-on experience in forecasting libraries (e.g. with LightGBM, Prophet).
• Proven track record with mixed-integer programming or constraint solvers for pricing or resource allocation.
• Strong programming skills in Python, Java, with proficiency in ML libraries and frameworks like TensorFlow, PyTorch, Spark Mlib, and scikit-learn
• Good ML systems engineering experience (such as job orchestration, training pipelines, deployment, serving, monitoring).
• Expertise in measuring the performance unsupervised and supervised models.
• Proven record of successfully delivering commercial machine learning products from conception to production.
• Experience with software engineering principles, modern ML tech stacks, and use of Databricks, Tecton, Snowflake, and cloud services like AWS for machine learning development and deployment.
Preferred Qualifications:
• Previously worked with revenue-management systems.
• Experience in a variety of machine learning and AI techniques, such as forecasting models, constraint optimization, classification models on structured data, clustering, and other supervised and unsupervised learning models.
• Experience working in fast-paced environments, on business-critical missions.
• Good communication skills and the ability to convey complex ML concepts to a non-ML audience.
• Experience in e-commerce, digital goods, or gaming industries.
• Experience with recommender systems and similarity matching algorithms.
• Background in experimentation design, causal inference, uplift modeling, online A/B testing frameworks, and relevant metrics.
• Experience with large-scale structured data manipulation and processing.
• Experience working with custom ML platforms for continuous integration, deployment, and monitoring of machine learning models.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Company:

Sony Interactive Entertainment (SIE)

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Ireland, NLP, QA, Supervised Learning, Unsupervised Learning

Company:

Sony Interactive Entertainment (SIE)

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):

Senior (5+ years of experience)

Tagged as: Classification , Industry , Ireland , NLP , QA , Recommendation System

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What's the opportunity?

Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing?

Identify areas where ML can create value for our customers

Identify the right ML framing of product problems

Working with teammates and Product and Design stakeholders

Conduct exploratory data analysis and research

Deeply understand the problem area

Research and identify the right algorithms and tools

Being pragmatic, but innovating right to the cutting-edge when needed

Perform offline evaluation to gather evidence an algorithm will work

Work with engineers to bring prototypes to production

Plan, measure & socialize learnings to inform iteration

Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need?

Broad applied machine learning knowledge

3-5 years applied ML experience

Practical stats knowledge (experiment design, dealing with confounding etc)

Strong communication skills, both within engineering teams and across disciplines.

Comfort with ambiguity

Typically have advanced education in ML or related field (e.g. MSc)

Scientific thinking skills

Track record shipping ML products

PhD or other experience in a research environment

Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

Strong stats or math background

We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us!

Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Pension scheme & match up to 4%

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Flexible paid time off policy

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too

MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

• Relocation support for those moving to our offices

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values .

Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

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What's the opportunity?

Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands.

We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test.

We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy.

What will I be doing?

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Deeply understand the problem area

• Research and identify the right algorithms and tools

• Being pragmatic, but innovating right to the cutting-edge when needed

• Perform offline evaluation to gather evidence an algorithm will work

• Work with engineers to bring prototypes to production

• Plan, measure & socialize learnings to inform iteration

• Partner deeply with the rest of team, and others, to build excellent ML products

What skills might I need?

• Broad applied machine learning knowledge

• 3-5 years applied ML experience

• Practical stats knowledge (experiment design, dealing with confounding etc)

• Intermediate programming skills

• Strong communication skills, both within engineering teams and across disciplines.

• Comfort with ambiguity

• Typically have advanced education in ML or related field (e.g. MSc)

• Scientific thinking skills

Bonus skills & attributes

• Track record shipping ML products

• PhD or other experience in a research environment

• Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering

• Strong stats or math background

• Visualization, data skills, SQL, matplotlib, etc.

Benefits

We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up

• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

• Regular compensation reviews - we reward great work!

• Pension scheme & match up to 4%

• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

• Flexible paid time off policy

• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

• If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too

• MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done

• Relocation support for those moving to our offices

**Job Description:**
Hertz is one of the world's largest global mobility organizations and is currently undergoing a major digital transformation. As the operator of the largest electric vehicle (EV) rental fleet, Hertz is combining its brand strength and global fleet management expertise with cutting-edge technology and innovation to redefine the future of travel, mobility, and the automotive industry. Hertz is committed to becoming a key player in the modern mobility ecosystem, with a focus on electrification, shared mobility, and delivering a digital-first customer experience.
As a Data Scientist at Hertz, you'll have the opportunity to work on high-impact strategic initiatives and solve complex challenges using state-of-the-art technologies. You'll play a critical role in enabling and optimizing our digital, connected fleet, pricing, and ridesharing products. This includes fostering collaboration, building partnerships, co-developing innovative solutions, and delivering actionable insights to leadership to inform strategy, surface opportunities, and highlight potential risks. Your work will help drive data-informed decisions across the organization, fuel operational efficiency and revenue growth, and support our broader vision for the future of mobility.
**What You'll Do:**
+ Build and maintain descriptive, predictive, and prescriptive models to optimize existing processes and uncover market opportunities for new products and services.
+ Define and analyse success and performance metrics for current and upcoming business initiatives, with a strong emphasis on A/B testing.
+ Integrate and curate data from a variety of internal and external sources to develop detailed reports, datasets, and advanced analytics that support data-driven decision-making across the business.
+ Use data visualization tools to clearly communicate insights to technical, non-technical, and senior stakeholders.
+ Break down and solve complex business challenges using quantitative and analytical approaches, identifying patterns and correlations within large, complex datasets.
**What We're Looking For:**
+ Minimum 3 years of hands-on experience in a data science role.
+ Minimum 2 years of experience with cloud-based big data, machine learning, and analytics technologies - preferably with Databricks.
+ Experience working with Google Tag Manager clickstream data is a strong plus.
+ Proficient in SQL, with experience handling both structured and unstructured data.
+ Strong experience in Python or similar scripting languages.
+ Strong interpersonal and communication skills, with experience working in agile/scrum environments.
+ Excellent problem-solving and critical thinking abilities, with a proven track record of identifying root causes and delivering simple, logical solutions to complex problems.
+ Exceptional verbal, written, and presentation skills, with the ability to effectively communicate both technical and non-technical information across all levels of the organization.
+ A bachelor's degree or higher in Computer Science or a quantitative field such as Statistics, Mathematics, Physics, Engineering, or a related field.
**What you Get:**
+ Employee Friends & Family rental discount (40% discount for employee & partner; 30% discount for up to 8 additional family/friends).
+ Hybrid/flexible working arrangements.
+ 22 days holidays on hire rising to 27 days with service.
+ Occupational Pension Scheme with up to 5% company matched contribution.
+ Life Cover payable at 4 times base salary.
+ Profit Share Scheme.
+ Tuition support plus access to compressive online learning platform.
+ 10 days paid study leave & paid exam leave where exams fall during work hours.
+ Income protection for long term illness.
+ Professional membership fees paid in full annually where membership relates directly to role.
+ Bike to Work & Travel Pass schemes.
+ Employee Assistance Programme for employees and family.
+ Occupational Health support.
+ Christmas savings scheme.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**
As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.
**Data Scientists** working within the Optum Ireland R&D team supporting Optum Home and Community are developing cutting edge analytical products from one of the world's richest healthcare datasets. You will be at the intersection of business, technology and data science. This role will play a critical part in developing the next generation value-based care analytic engine.
**Working Schedule** :
This is a full-time position with standard working hours of Monday - Friday, 9am - 5pm.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ Be an independent thinker and advocate of data science methods, software engineering, and applications
+ Research, develop and apply new innovative analytics methods and technologies from other domains to healthcare data
+ The ability for critical thinking outside your immediate sphere of responsibility
+ Work with autonomy and in partnership with other Data Scientists, Data Engineers, Software Engineers, and Infrastructure Engineers to find solutions to complex problems
+ Leverage technical / analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions
+ Prototype new products and solutions that have the capability to transform the industry
+ Ability to articulate and paint a vision, with strong communication and presentation skills, as well as strengths in translating highly complex concepts, results, models and technologies in ways that can be understood by a variety of audiences
+ Be familiar with the state-of-the-art around big data analytics and associated technologies and techniques
+ Have experience with Commercial environments and/or Products (not just internal focused)
+ Be a leader for a variety of projects including proofs of concept, new product / component development, and reengineering initiatives among others.
+ Work as part of a small team, sharing ideas and contributing to the strategic goals
_You will be rewarded and recognised for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in._
**Required Qualifications of a Senior Data Scientist:**
+ Bachelor's Degree in Engineering/Computer/Statistics or equivalent experience
+ Experience in analytics / data science in a business or academic context
+ Demonstrated experience using programming to solve complex technical problems
+ Demonstrated experience accessing data from various data environments
**Required Qualifications of a Senior Data Scientist:**
+ Master's Degree or PhD in a technical field (e.g. computer science, science, engineering, math / stats, physics etc.)
+ Core knowledge of statistics, machine-learning and numerical / computational methods with experience in the application of these methods to business problems
+ Extensive programming experience with Python/Pyspark/Pandas/Polars or other analytics languages
+ Experience working within a software development team and using version control systems such as Git
+ Experience of large-scale distributed computing environments (Hadoop, Hive, Databricks etc)
+ Experience developing analytical solutions on cloud computing platforms i.e. Azure
+ Experience of the US Healthcare sector
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
_All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy._
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved._
#RPO

**Minimum qualifications:**
+ Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
+ 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
+ Experience working with marketing and media data and transformations required for analytics.
**Preferred qualifications:**
+ Experience delivering marketing mix modeling and Geo-Experiments end-to-end.
+ Understanding of Bayesian approaches and modeling frameworks.
+ Proven ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
Find the user. Find the magic. Connect the two. At its core, marketing at Google starts with the user and ends with technology, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems - from the everyday to the epic, from the mundane to the monumental. And, we approach marketing in a way that only Google can - break the rules, redefine the medium, make the user the hero, and ultimately let the technology speak for itself.
As a Business Data Scientist in the Marketing team, you will support our team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, or helping our team develop evaluation metrics that provide insights to the business. Specifically, as a Marketing Mix Modeling (MMM) specialist you will play a technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest issues. Regardless of geographic location, the role will maintain a global scope and requires working with teams operating across regions and marketing entities.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on Marketing Mix Models (MMMs).
+ Partner with internal teams in advanced analytics work including experimentation, measurement, and modeling.
+ Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
+ Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
+ Develop evaluation frameworks for large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
We are looking for a Senior Data Scientist/Analyst to help drive a growing Data Science team to develop new analytic products. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Analytics in Ireland. This role will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with local analytic leadership in Ireland as part of the broader Optum Ireland ecosystem, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model._
**Primary responsibilities:**
- Provide strategic and technical direction aligned to analytic efforts around AI/machine learning
- Optimize deep learning models for performance, scalability and efficiency
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Build and maintain production-ready machine-learning models
- Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
- Understanding of business strategy and ability to identify and champion opportunities for data science projects. This includes the ability to communicate technical concepts to non-technical stakeholders and build consensus
- Demonstrated ability to manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Optum Insight business
- Mentor and provide technical leadership to junior engineers and other team member
- Managing complex data science projects within a cross-functional team
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
- B.S. Degree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Extensive experience in deep learning, AI or Machine Learning in a principal level or technical leadership role
- Proficiency in AI/ML and deep learning frameworks such us PyTorch
- Knowledge of deep learning architectures
**Preferred Qualifications:**
- Ability to take research whitepapers to production.
- Working with healthcare data ( claims, clinical records, authorization, provider contracts etc)
- Appreciation of  ethical and  regulatory  considerations in data science and willingness to apply them in practice 
**Soft Skills:**
- Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA

Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
**About the Role:**
In healthcare, evolution doesn't just happen. It takes innovation, imagination, and a passion for solving problems in new and better ways. And innovation is taking place at a lightning-fast pace every day at Optum.
As the fastest growing part of the UnitedHealth Group family of businesses, we're expanding our team in Ireland and creating excellent opportunities for those who want greater purpose and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive.
We are looking for a Principal Data Scientist/Analyst to help drive a growing Data Science team to develop new analytic products. You will work with other Data Scientists and subject matter experts to conduct and manage outcomes of various analytic studies. As part of this team, you will be empowered to analyze data, create solutions and build production-ready models. Join us! There's never been a better time to do your life's best work
This position will report to the Director Data Analytics in Ireland. This role will support the development of an exciting new product which will form part of the OptumInsight product suite. The position will work in partnership with local analytic leadership in Ireland as part of the broader Optum Ireland ecosystem, while building strong relationships with US-based AI/ML experts.
_Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny and telecommuting from a home-based office in a hybrid work model._
**Primary responsibilities:**
- Provide strategic and technical direction aligned to analytic efforts around AI/machine learning
- Optimize deep learning models for performance, scalability and efficiency
- Analyze, review and interpret complex data through the development of case-studies, enabling the data to tell a story
- Build and maintain production-ready machine-learning models
- Identify drivers of patterns / behaviors uncovered in data and use these to explain business trends
- Understanding of business strategy and ability to identify and champion opportunities for data science projects. This includes the ability to communicate technical concepts to non-technical stakeholders and build consensus
- Demonstrated ability to manage multiple priorities and projects, while meeting deadlines
- Contribute to the design and realization of analytical based tools/assets to identify and monitor non-standard claim patterns
- Stay current on internal and external technological advances in AI and advanced analytics that can be applied to the Optum Insight business
- Mentor and provide technical leadership to junior engineers and other team member
- Managing complex data science projects within a cross-functional team
You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.
**Required Qualifications:**
- BacDegree (or higher) in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Extensive experience in deep learning, AI or Machine Learning in a principal level or technical leadership role
- Proficiency in AI/ML and deep learning frameworks such us PyTorch
- Knowledge of deep learning architectures
**Preferred Qualifications:**
- Ability to take research whitepapers to production.
- Working with healthcare data ( claims, clinical records, authorization, provider contracts etc)
- Appreciation of  ethical and  regulatory  considerations in data science and willingness to apply them in practice 
**Soft Skills:**
- Natural curiosity to learn more, dig into details, and understand the key drivers of emerging trends and challenges
**Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.**
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2025 Optum Services (Ireland) Limited. All rights reserved.
#BBMEMEA