67 AI Engineer jobs in Ireland

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead AI Engineer
Overview
As a Lead AI Engineer at Mastercard, you will be instrumental in designing, building, and scaling AI microservices that transform PoC notebooks into robust, production-ready components. You will play a pivotal role in creating the foundational AI services that power our next-generation solutions, ensuring they are scalable, efficient, and seamlessly integrated into the broader Mastercard ecosystem
Key Responsibilities
Lead the E2E design and development of AI-powered microservices, focusing on modularity, scalability, and reusability, to support various business units and applications
Drive the transition of AI models from notebook-based PoCs and experimental phases into hardened, production-grade components and services, ensuring performance, reliability, and maintainability
Design and implement robust APIs for AI microservices, facilitating seamless integration with existing Mastercard platforms and external systems.
Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost-efficiency.
Work closely with data scientists, MLOps engineers, and product teams to translate business requirements into technical specifications for AI services. Mentor junior engineers on best practices for AI software development and scaling
Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices
Research and evaluate new technologies, frameworks, and methodologies related to AI software development, microservices, and large-scale data processing to continuously improve our capabilities
Ensure all AI microservices adhere to Mastercard's security standards, compliance policies, and ethical AI principles
Qualifications
Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Master's degree preferred
Experience: Minimum of 8+ years of experience in software development, with at least 4 years specifically focused on building and deploying AI/ML-powered applications or microservices in production environments
Technical Skills:
Strong proficiency in Python
Extensive experience in designing, developing, and deploying RESTful APIs and microservices
Proven experience in scaling machine learning models from prototype to production, including familiarity with feature stores, model registries, and inference patterns
Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring
Experience with cloud platforms and their relevant compute, storage, and AI/ML services
Proficiency with containerization technologies
Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models
Experience with distributed computing frameworks (e.g., Spark, Dask) is a plus
Understanding of data governance, data quality, and data security principles relevant to AI/ML applications
Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
Proven ability to lead technical initiatives, drive cross-functional projects, and influence outcomes within a fast-paced environment
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

GenAI Engineer Contractor (Hybrid, Dublin or Remote) My Client seeking aGenAI Engineer (Contractor) to help design, build, and deploy large-scale artificial intelligence solutions with real-world impact. This role offers the flexibility to work remotely or from a Dublin-based office and is ideal for someone ready to apply their technical expertise within an agile, innovative environment. Key Responsibilities: Design and deploy enterprise-scale GenAI systems using Microsoft AI Services and Databricks. Collaborate with cross-functional teams to deliver AI products and solutions across varied use cases. Work with NLP and LLM technologies, including frameworks like Transformers, SpaCy, PyTorch, TensorFlow, and more. Develop and maintain robust Compound AI systems, leveraging tools like DSPy. Operate in cloud environments such as Azure and AWS, deploying production-grade AI applications. Participate in Agile development cycles, contributing to sprint planning and iterative delivery. What Were Looking For: Experience with Microsoft AI Services and Databricks is essential. Advanced degree (MSc/PhD preferred) or equivalent experience in computer science, engineering, mathematics, or related fields. Proven track record in NLP and LLM-based projects, ideally within the insurance or financial services sectors. Strong programming skills in Python and comfort working with SQL. Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. A drive for continuous learning and keeping up with the latest AI advancements. If you are interested in the above role you can apply directly or email me on and we can set up a call to discuss. Benefits: Work From Home

MCS Group is delighted to announce an exciting new position for a Senior AI Engineer to join a groundbreaking Irish start up at a critical time in their product development. If you are seeking a challenging role working with the latest tech and want to join a company where your work will be completely integral to their mission then please read on! The Role: Design, build and maintain robust LLM powered processing workflows Develop cutting edge testing suites related to bespoke LLM performance metrics Foster and take the lead in a creative environment when it comes to AI frameworks and models. Monitor performance and own the breaking and fixing of developing complex The Person: Happy to work in a start up environment that is high energy, highly creative and values IN-PERSON collaboration Proven expertise in mathematics and classical machine learning algorithms (Neural networks) Engineering background ideally in start ups with expertise in Typescript/Python. Deep knowledge and expertise of LLMs (Anthropic/OpenAI/HuggingFace) Full right to work in Ireland (Stamp 4/EU Citizenship) The rewards for this position are extensive and encompass a strong base salary and considerable equity DOE. I look forward to discussing with candidates who meet the requirements above. To speak in absolute confidence about this opportunity, please send an up-to-date CV via the link provided or contact Calum Omand Specialist Recruitment Consultant at MCS Group . Even if this position is not right for you, we may have others that are. Please visit MCS Group to view a wide selection of our current and exclusive roles Skills: LLM AI Machine Learning Engineer

**Lead Cyber Security AI Engineer**
**Innovate to solve the world's most important challenges**
Honeywell's Global Security (HGS) and Buildings Automation (BA) lead and influence a dynamic collective of professionals dedicated to refining product development through innovative engineering, strategic component selection, and establishing industry-leading cybersecurity through AI.
You will be part of Honeywell's BA team with the AI Cyber Center of Excellence and driving cybersecurity architecture in AI/ML/GEN-AI with a focus on Engineering solutions for endpoint, mobile, cloud, and standalone products. You will be first a risk and cybersecurity professionals with deep practical experience in testing, designing architecture, and product innovations with AI/ML/GEN-AI.
You will be responsible to develop the definition of good through hands on cyber testing, architecture design. In addition you will work with the CPSO of BA to develop an Engineering Gen AI strategy & roadmap; perform market research; partner with strategic vendors and incubate new technologies, ideas and techniques that will ensure BA and Honeywell are able to leverage the latest and the best in the industry; and continues to be cybersecure. You will also need to leverage existing Honeywell Technology ecosystem; Experts, CoPs and other Tech Forums to ensure adoption of best practices & ideas
**KEY RESPONSIBILITIES:**
+ Drive Honeywell COE Gen AI strategy. Establish current and future state landscape & roadmap with deep consideration of security, safety, and integrity of services.
+ Provide Subject Matter Expertise on Generative AI adoption and Impactful deployment for cybersecurity for internal architecture, third party integration, and custom models.
+ Collaborate with IT, Technical teams, Business SMEs for defining architectural cyber frameworks, common standards and solutions for product engineering
+ Work closely with researchers, developers, and data scientists to implement and optimize AI/ML models in production environments.
+ Perform Market Research to identify new opportunities, ideas and technology trends for adoption. Collaborate with Vendors and Industry leaders to accelerate adoption of latest technology trends and ideas that have strong business impact
+ Engage with Chiefs, Fellows, other Tech talents and Tech forums to bring alignment of Cyber across SBGs of engineering and IT and maximize cross leverage of best practices/ideas
+ Leverage existing BA and Honeywell ecosystem to collaborate and partner with Universities and Startups to accelerate New Idea evaluation and incubation. Participate in hackathons, and crowd sourcing platforms effectively to progress on cyber 'definition of good'
+ Coach & develop next set of Cyber Researchers, Data Scientists, Leads, Pen-Testers, and Engineering teams
**YOU MUST HAVE:**
+ Overall 10+ years of experience, out of which 5+ years of experience in cyber security identifying security risks, identifying best practices, and developing solutions
+ Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning etc.
+ Working knowledge in LLM models like Gemini, Llama, GPT, DALL-E and frameworks like LangChain & Vector databases like Faiss, Pinecone etc.
+ Ability to articulate, document, and produce guides, instruction, and present cybersecurity AI methods and techniques
+ Risk management and cybersecurity certifications and or experience
**NICE TO HAVE:**
+ Proficiency in Python, R, SQL, and common AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc.
+ Experience in fine-tuning LLM using LoRA/QLoRA techniques.
+ Develop APIs and microservices to support Gen AI/ML applications.
+ Strong understanding of cloud platforms, particularly GCP, AWS, Azure, for deploying AI applications.
+ Demonstrated experience in scaling AI/ML projects using MLOps practices for model lifecycle management
+ Ability to analyze complex data sets, derive insights, and solve sophisticated problems with innovative solutions.
+ Strong communication and presentation skills, with the ability to explain complex AI/ML concepts and results to both technical and non-technical audiences.
+ Strong understanding of Business Process, IT Industry Standards
+ Track record of innovation and leadership in productizing AI research
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Lead AI Fullstack Engineer(AI Platforms)
Overview
As a Lead AI Fullstack Engineer at Mastercard, you will be a pivotal force in designing, building, and deploying E2E AI/ML solutions. You will leverage your fullstack expertise to create intuitive user interfaces that bring AI insights to life, while also developing robust backend services and integrations that power our advanced AI models. Your work will directly enable the seamless delivery of AI capabilities, translating complex algorithms into tangible business value through user-centric applications
Key Responsibilities
Lead the complete lifecycle of AI-powered applications, from frontend user experience design and implementation to backend service development and integration with AI/ML models
Develop robust backend services and APIs that orchestrate AI/ML model training, inference, data pipelines, and monitoring. This includes building scalable data ingestion and processing components
Create and maintain engaging and functional user interfaces that allow users to interact with and derive insights from AI models and data, enhancing accessibility and usability
Design and implement high-performance APIs for both internal and external consumption, facilitating seamless communication between various components of the AI solution and other Mastercard systems
Identify and resolve performance bottlenecks across the fullstack, from frontend responsiveness and user experience to backend service efficiency, data processing, and AI model inference
Provide technical leadership and guidance to the team, championing best practices in fullstack development, software architecture, and the operationalization of AI solutions. Mentor junior engineers and foster a culture of technical excellence
Work closely with data scientists, AI engineers, product managers, and other stakeholders to gather requirements, translate them into technical specifications, and deliver AI solutions that meet strategic business objectives
Implement and ensure adherence to Mastercard's security standards, data governance policies, and compliance requirements throughout all layers of the AI solution
Qualifications
Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Master's degree preferred
Experience: Minimum of 8+ years of experience in fullstack software development, with a significant focus on building and maintaining complex applications. At least 3-4 years of experience specifically on AI/ML-driven applications or integrating with AI/ML systems
Technical Skills:
Extensive experience with backend development frameworks (e.g., Node.js, Python/Flask/Django) and designing/implementing RESTful APIs
Strong proficiency in frontend technologies including React, Next.js, TypeScript, JavaScript, HTML, and CSS
Experience with cloud platforms and their relevant services for compute, storage, databases, and networking
Proficiency with containerization technologies
Experience with CI/CD pipelines for automated deployment of fullstack applications
Familiarity with database technologies
Understanding of the AI/ML lifecycle and experience operationalizing machine learning models
Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences
Proven ability to lead technical initiatives, drive cross-functional projects, and mentor team members within a fast-paced environment
#AI
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Are you a great Software Engineer? Do you like working on technology problems which impact people on a global scale? Would you like to work on complex problems that help users find and utilize solutions in M365 Copilot? If you're passionate about our users having the best Copilot experience and you like working across both consumers and enterprises for PCs, tablets, and phones then maybe the Microsoft 365 Growth team has the right job for you.
We are looking to hire a **Principal AI Software Engineer** to join our team. As a member of this team, you will have the opportunity to work on multiple levels of the AI software stack, including the fundamental abstractions, programming models, compilers, runtimes, libraries and APIs to enable large scale training and inferencing of models.
This is an Individual contributor role: as a principal technical leader it requires setting the technical direction for the organisation in the area, and hands on software design and development skills. We're looking for someone who has a demonstrated history of solving hard technical problems and is motivated to tackle the hardest problems in building a full end-to-end AI stack.  An entrepreneurial approach and ability to take initiative and move fast are essential. 
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Set technical direction for the team.
+ Apply engineering principles for defining robust and maintainable architectures and designs.
+ Identify requirements, scope solutions, estimate work, schedule deliverables.
+ Collaborate with partner teams to drive holistic solutions across the stack.
+ Technical leadership and mentoring of software engineers. 
+ Embody our Culture and Values.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
+ OR equivalent experience.
+ A technical background and solid foundation in software engineering principles and architecture design.
+ Ability to plan and influence technical designs on projects that will have potential long-term impact to Microsoft.
+ Proven experience in developing and deploying large language models (LLMs): Demonstrated expertise in working with state-of-the-art LLMs, including their training, fine-tuning, and application in various natural language processing tasks.
+ Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, ONNX, etc.).
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.
+ Solid communication skills (both written and oral).
#DPG #exdgrowth #copilot
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

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.**
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.
As a Senior AI/ML Engineer, you will harness cutting-edge AI and machine learning technologies to enhance and transform current operations at Optum. This role is crucial for driving initiatives such as real-time settlement, medical chart processing, autonomous medical code generation, and medical image processing. You will collaborate closely with business and operations teams to understand their requirements and translate abstract concepts into practical AI solutions. Your contributions will play a vital role in significant AI initiatives that will positively impact healthcare systems. You will thrive in a challenging yet supportive environment that not only defines success for your current role but also offers opportunities for growth in areas of your interest.
**Schedule** : 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:**
+ Leverage AI/ML technologies to transform and improve current Optum operations. This includes, but is not limited to, projects such as smart revenue management, intelligent payment platforms, medical chart processing, automated medical code generation, and medical image processing
+ Collaborate closely with business and operations teams to grasp the requirements and translate vague concepts into tangible AI solutions. Possess strong implementation skills to bring these solutions to life and work with engineering teams to build scalable, flexible product pipelines
+ Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects
+ Your contributions will be recognized in a challenging yet supportive environment that not only defines success for your current role but also provides opportunities for development in areas you're interested in
_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:**
+ Master's Degree (or higher) in Computer Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides mathematical training
+ Advanced level proficiency in analyzing business challenges and designing AI-driven solutions
+ Advanced level proficiency in at least one scripting language, such as Java, Python, SQL, PySpark, or C++ Advanced level proficiency with AI/ML technologies
+ Advanced level proficiency working with predictive analytics, NLP, image processing, Generative AI, or related technologies
**Preferred Qualifications:**
+ PhD in Computer Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides strong mathematical training
+ Ability to find AI solutions for undefined problems
**Soft Skills:**
+ Ability to be a fast learner and self-driven
+ Ability to work independently on complex AI projects
**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 #BBMEMEA

**Job Description:**
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
We are searching for an AI Support Engineer who enjoys working with data and helping users solve complex problems. This is a customer-facing position and will require the ability to interact with customers daily during scheduled working hours or during an escalated incident on the weekend. The AI Support Engineer will work closely with developers to reproduce problems and deliver fixes. The person is an excellent communicator, technically astute, with an outstanding ability to troubleshoot complex issues.
At DataRobot, we also apply our own AI tools to better service customers. Therefore, we are seeking candidates passionate about providing support and building tools that use the DataRobot Platform to provide an unprecedented support service. This is an exciting opportunity to join a leader and work at the forefront of Artificial Intelligence. As an AI Support Engineer, you will be working with data scientists, data engineers, developers, and IT to help solve the most challenging AI problems.
**Key Responsibilities** **:**
+ Provide customer support to DataRobot AI Platform users via the SalesForce ServiceCloud ticketing system during 5:30 AM - 1:30 PM IST (12 AM - 8 AM UTC)
+ Help customers over email or Zoom/Webex meetings to facilitate issue resolution
+ Work with product, engineering, and data science teams to resolve customer issues
+ Create workarounds when standard procedures have failed and ensure issues are solved in a timely manner
+ Document customer issues and resolutions, create knowledge base content related to software usage
+ Participate in AI Support projects to develop models and tools to automate and improve customer service
+ Weekend Severity 1 on-call rotation
+ Participate in production incidents (IR) on the DataRobot MTS (SaaS) platform as an Incident Communicator
**Knowledge, Skills & Abilities:**
+ Bachelor in Computer Science, Engineering, Statistics, Data Science, or equivalent.
+ 3+ years of industry customer support experience
+ Hands-on experience with troubleshooting Kubernetes-based applications
+ Knowledge of cloud infrastructure providers (AWS, Azure, Google Cloud)
+ Linux administration, networking, and containerization (Docker).
+ Python scripting skills for automation and debugging purposes.
+ Experience using AI tools in daily operations and support tasks
+ Excellent verbal and written communication skills to interact with technical and non-technical audiences.
**Nice to have** **:**
+ Support experience with AI / ML enterprise applications
+ Understanding of AI / ML model training lifecycle
+ Incident management experience on SaaS platforms
+ Experience with Mongo, Postgres, and Redis database support and troubleshooting
+ Hands-on experience with SalesForce ServiceCloud
The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
**DataRobot Operating Principles:**
+ Wow Our Customers
+ Set High Standards
+ Be Better Than Yesterday
+ Be Rigorous
+ Assume Positive Intent
+ Have the Tough Conversations
+ Be Better Together
+ Debate, Decide, Commit
+ Deliver Results
+ Overcommunicate
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy ( .
DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website ( and connect with us on LinkedIn ( .
**_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._**
**_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._**
Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

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.**
**About the Role**
As a **Director, Data Science for the Pharmacy Data Science** team, you will lead a team of data scientists focused on driving innovation, delivering actionable insights, and delivering affordability for UHC Pharmacy. The scope of the team covers Pharmacy and Medical drugs claims, with the team owning
+ Tools to support PDL (Prescription Drug List) Strategy
+ Using innovative and advanced analytics to deliver insights into member use patterns and behaviour (including predictive modelling)
+ Partnering with Optum to manage generic drug pricing
+ Leverage business and data knowledge to identify opportunities for enhanced rebates, reduced trend, or improved member experience
Your work will directly contribute to improving healthcare affordability, operational efficiency, and member experience for millions of people, all while doing your life's best work℠.
**Responsibilities**
+ Provide leadership to the Pharmacy Data Science team, empowering the team to deliver high-quality solutions across multiple initiatives
+ Collaborate with internal stakeholders and cross-functional teams to design data-fueled solutions aligned with business objectives including member journey analytics, and utilisation management
+ Partner with Optum on generic drug pricing management to maximise value for UHG
+ Mentor and provide guidance to team members to ensure statistical integrity, accuracy, and adequacy across all analytics processes
+ Analyze, review, and interpret complex data to identify drivers of trends, uncover affordability opportunities, and enable the team to optimise processes and outcomes
+ Develop and influence the design of analytical tools and dashboards to monitor patterns and performance across key business metrics
+ Collaborate with subject-matter experts and stakeholders to explore business problems and design innovative solutions using data-driven approaches
**Required Qualifications**
+ Bachelor's degree in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science, or similar numerical discipline
+ Leadership experience within a Data Science or Advanced Analytics environment, including oversight of teams
+ Understanding of the U.S. healthcare system, medical claims billing, and associated data environments
+ Proven ability to deliver analytics projects that provide measurable business value
+ Experience working with complex datasets, applying computational algorithms, statistical methods, and programming techniques to derive actionable insights
+ Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar
+ Ability to break down complex problems, design solutions, and communicate findings effectively to diverse audiences
**Preferred Qualifications**
+ Master's degree or PhD in applied mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science, or a related field.
+ Experience leading cross-functional teams or collaborating across departments to achieve shared goals.
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 marginalized 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.
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.
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.