10 Providing Product Information 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**
Senior Specialist, Product Management
Overview
The Payment Gateway Front-End and Experience Team is looking for a Product Manager to help drive our Data and Reporting domain.
The ideal candidate is a creative and technical individual with a passion for data, innovation and problem solving.
The role is for a level 7 product manager who will work across functional teams such as Engineering, Regional Product, UX, Data experts to deliver truly differentiated solutions. The role is positioned to support in driving new ideas forward by combining creative thought leadership, innovation and best practices.
Role
The successful candidate's primary responsibilities will be to:
Support and elaborate the data and reporting vision and strategy.
Own the product lifecycle for our data products, from ideation and requirements definition to release and iterative improvement.
Lead key activities to support roadmap execution, linking it to a quantifiable product scorecard, monitoring and optimizing performance.
Actively engage in innovation initiatives, data resources and capability assessment with a futuristic lens.
Assess, design and prioritize product features, coordinating with leadership, Engineering and business on work status
Provide oversight and product engagement for market testing, release and rollout.
Bring the customer perspective to life in a way that has impact and drives change.
Champion a data-driven culture and push for new frameworks and protocols for data.
Adapt product enhancements continuously to customers needs, market trends and competitive opportunities.
Work with the domain leadership on the data vision, roadmap and
All About You
Proven experience in the data environment, applied to payments, or related roles, preferably in a large enterprise.
Experience in designing data product, including data architecture, data user experiences and data implementation.
Be proficient in the best practices of data governance and data management theories, practices, methods and principles.
Strong focus on delivering customer value and building customer relationships
Be a successful team player with experience in developing and utilizing data for user experiences, including self-serving ones.
Have an innovative mindset using data for machine learning/AI ops and new user experiences in a data-driven culture.
Proven track record of collaborating effectively in cross-functional teams to deliver exceptional repeatable solutions/products and features
Demonstrate drive for result and a desire to succeed, follow through commitments and push self and others to deliver exceptional results
Desire to grow in product management disciplines
Skills & experience
Previous experience in a data product solutions environment (reporting, analytics, Data Science, AI, etc.)
Agile product management, particularly with analytical products and/or business intelligence solutions
Knowledge and skills in product management tools and best practices
Great organizational skills, capable of managing multiple priorities and competing tasks efficiently
Strong communication & influencing skills to work with internal and external stakeholders, with ability to clearly articulate problem statements and opportunity areas
**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.

Our client, a market leader in smart home life safety devices and IoT innovation, is seeking a highly skilled R&D Product Validation Specialist to join their dynamic development team. This role plays a vital part in the product development lifecycle by ensuring products meet the highest quality, safety, and compliance standards before reaching market. The successful candidate will work at the forefront of electronic and IoT validationtesting both hardware and software in a hands-on R&D environment. If you are methodical, technically adept, and passionate about quality assurance, this is an exciting opportunity to contribute to cutting-edge, life-saving technology. Key Responsibilities Full Lifecycle Product Validation: Validate new smart home devices, including alarm systems, IoT sensors, RF modules, and connected gateways. Extend validation to mobile applications, user interfaces, and cloud portals. Hardware Prototyping & Electrical Testing: Assemble and build prototypes. Perform a range of electrical safety and compliance tests, including ESD, surge, and transient testing. Issue Diagnosis & Resolution: Work closely with R&D and design engineers to identify and troubleshoot issues in circuit design, firmware, and system integration. Test Planning & Reporting: Develop and execute structured validation plans. Accurately document test processes and outcomes, contributing to technical reports and quality records. Quality Assurance Support: Ensure all products meet internal standards and external regulatory requirements. Support continuous improvement and documentation of validation processes. Candidate Profile Essential Experience & Skills: Minimum 2 years hands-on experience testing electronic hardware and embedded softwareideally in IoT, home security, or consumer electronics. Strong understanding of electronics principles and proficiency in reading and interpreting circuit schematics. Skilled in using test equipment such as oscilloscopes, multimeters, and signal generators. Confident in soldering and rework, including surface mount technology (SMT). Excellent problem-solving skills, high attention to detail, and structured analytical thinking. Ability to work independently and collaboratively, managing tasks in alignment with project timelines. Degree or qualification in Electronic/Electrical Engineering or equivalent practical experience. Desirable Experience: Experience with automated testing tools (e.g., Selenium, LabView). Familiarity with defect tracking systems (e.g., Jira). Comfortable working with mains-powered devices. Holding a relevant QA certification (e.g., ISTQB) would be a plus. For a confidential conversation about the role contact Owen Clancy at By applying to this job post you agree that Sterling Engineering may process your personal data for recruitment purpose

**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**
Manager, Product Management
Overview
Mastercard Checkout Services focuses on making payments simpler, more efficient, and more secure. We are building highly scalable digital payment experiences through our products such as Click to Pay, Secure Card on File Tokenization and Token Authentication Service.
A key enabler of these products is the Credential Directory infrastructure and APIs within Mastercard Checkout Services. Issuers worldwide are leveraging this infrastructure to automatically enroll their cardholders in Click to Pay, enhancing the guest checkout experience and making Click to Pay a core benefit on all their issued cards.
The ideal candidate will join the Mastercard Checkout Services Product Team and play a key role in expanding our Credentials Directory strategy across issuers, regions, and various other checkout experiences beyond Click to Pay.
Role
In this role, the candidate will:
- Identify features and capabilities to expand Credentials Directory strategy across Mastercard,
- Create product requirements and work with cross functional teams across Mastercard including engineering and architecture to deliver the product in the market
- In partnership with Marketing and GTM teams, develop compelling product narratives, value propositions and demonstration.
- Ensure commercialization readiness by working closely with Legal, Privacy and Compliance teams across different regions to define contractual and legal obligations that need to be met to launch the product.
- Serve as a subject matter expert on the product, offering support to internal and external customers with communication and training on product new features and enhancements.
- Effectively maintain and manage Product backlog and prioritize them for commercialization.
- Take a data-driven approach to product enhancements, identifying opportunity areas and contributing to the Product roadmap, prioritizing work to deliver against key areas of focus
- Incorporate and understanding of the broader payments ecosystem into ongoing product management (e.g. regulatory, legal, technology, competitive, technology environment etc.)
All About You
The ideal candidate for this position must posses:
- Strong product management and product development experience
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to audiences of varied technical ability
- Strong cross-functional collaboration skills and the ability to influence stakeholders at all levels across multiple geographies
- Familiarity and prior experience collaborating with Issuers, merchants, payment service providers, and payment gateways are beneficial assets.
- Executive presence and ability to communicate with C-Suite and senior management at ease
**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.

**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**
Manager, Product Management-Technical
Manager, Product Manager - Technical, Product & Engineering (PAE)
Overview
- Within Mastercard's Products & Engineering, the Cross-Border Services Product management technical team defines initiatives, elaborates epics, features and manages the development and delivery of the capabilities supporting the Product roadmap and ensures competitive differentiation and alignment with key Mastercard priorities.
- As a product owner and PM-T, this position works with cross-functional global stakeholders (Product Strategy, O&T/Technology teams, Service and Network Management) - both internal and external - to define the functional specifications of the cross-border products capabilities
- Responsible for developing inspiring platform/product visions, derived from business needs, market opportunities, and technology trends
- Using the Working Backwards method, decomposes business requirements and customer experiences into features and functions that drive the platform/product roadmap
- Works with Technical Program Managers, Developers, UX designers, and internal customers to define the details behind the business requirements
- Acts as the voice of the business customer and accountable for the platform services
Role
- PM-T role for Cross-Border Services manages various cross border services platforms, and their integration with FX/Treasury, Compliance, Settlement, Accounting, Billing and various network systems.
- Ensure the integrity and consistency of the delivery of the Cross-Border Services vision across all assets: capabilities, support chain, rationalisation and metallisation of assets, readiness for growth and re-usability by other programs.
- Flesh out the concepts and achieve clarity of thought about what will ultimately be built. Participate in the definition of the flows and interfaces for all channels (API, UI, Files, SWIFT) between all assets
- Joint solution design with the Technology teams in charge of developing each of the Cross-Border Services assets
- Decompose the functional and non-functional requirements into user stories, prioritise the backlog, define the acceptance criteria, accept the stories and features.
- Produce all the artifacts needed by our internal customers in the larger Product community.
- Encourage re-use of their building blocks, continuously innovate on behalf of internal and external customers.
- Fully understand the functionality, architecture, dependencies, and runtime properties of the systems supporting the platform products, including: business requirements, use cases, UX, back office systems, technical stack, interfaces and associated data flows, dependent applications/services, runtime operations (i.e. trouble management/associated support strategies), and maintenance.
- Participate to Cross-Border Services operational reviews, and address issues and improvements with Technology and Payment Operations
All About You
- Experience building complex business and/or transactional models in a product line management, e-commerce, and/or strategic planning role
- Can deliver high quality technology products/services in a high growth environment where priorities shift rapidly
- Ability to use hard data and metrics to back up assumptions and develop business cases
- Proven ability to lead in a matrix environment
- Demonstrated ability to multi-task, establish priorities and work independently under pressure and with limited supervision
- Experience and proficiency with cloud technologies (IaaS, PaaS, serverless technology, NoSQL databases), microservice design, near real-time, scalable fault tolerant platform design, API design, and distributed systems operations in a DevOps model
- Experience with XP, TDD and BDD in the software development processes
- Proven track record of data driven decision making and applying continuous improvement methodologies across teams
- Comprehensive experience in agile delivery methodologies (scrum, Kanban, etc.) and CI/CD
- Can communicate to executives, peers, and staff with impact, eloquence, and authenticity
- Deep understanding of the platform, the integration patterns, the organisational capabilities, and the company wide assets that can be leveraged to provide technical solutions to customer problems
- 8-12 years product development experience
- Experience in FX, SWIFT or ACH systems, especially acquired within a bank is a major plus
- Superior oral and written communication, problem solving, product documentation, and product development skills
- Customer focus and analytical skills
- Proven project management, organization, and thought leadership skills with ability to build, lead, and maintain strong, productive teams and working relationships with internal stakeholders and external customers
- Experience mentoring and guiding junior team members
- Strong customer relationship-building and management skills
**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.

POSITION SUMMARY The Quality Operations and Product Disposition Senior Specialist will have an active role in batch review and certification for batches manufactured on site as well as partaking in batch review and certification of outsourced manufacturing & testing activities. Participate in the establishment, continuous improvement and maintenance of the quality management system. In addition, assume an active role in internal and external audits, outsourced activities, equipment qualification reviews, analytical data review and interface with cross functional departments on quality matters. The role will also ensure that all Manufacturing and Product release activities are in alignment with Zoetis Registrations and Regulatory Compliance. POSITION RESPONSIBILITIES Review & approval of batch records for Cell Culture operations and Purification operations to ensure compliance with the requirements of current Good Manufacturing Practices (cGMP) and batch review and batch disposition process. Partake in QA documentation management, resolve documentation issues that may arise and help produce relevant metrics to monitor efficiency. Support change management, deviations and corrective and preventative action (CAPA) systems as required. Support ongoing review of events, deviations and non-conformances associated with batch release activities. Support site risk management procedures. Support ongoing running and maintenance of Electronic Quality Management System. Support the implementation and continuous improvement of an effective quality management system including quality oversight across the site. Write or assist in writing, reviewing and approval of SOPs and other GMP documents. Provide QA support to Quality Control including review of Quality Control (QC) raw data. Review and approval of non-conformance reports including deviations, laboratory investigations & environmental excursions. Interface with other departments such as Engineering, Laboratories, Operations, Warehouse and Process Development to ensure quality objectives are understood and achieved. Support the ongoing site training system and deliver training modules where required Participate in or lead internal and external audit including 3rd party audits and supplier reviews. Participate in ongoing site data integrity projects. Manage specific projects that may arise, in a timely and efficient manner. Assist in supporting the qualification and periodic review of equipment. Participate in set up of new electronic systems where required. Overview product and cell bank stability programmes, submission of samples, filing of results and providing updates. ORGANIZATIONAL RELATIONSHIPS Working closely with multiple groups for fast-moving projects to ensure proper and timely communication The role will involve interaction with internal departments QC, Production and Engineering primarily. EDUCATION AND EXPERIENCE Third level Degree in a life science discipline. At least 5 years Biotech/Pharmaceutical QA experience with a strong knowledge of cGMP. Good knowledge of regulatory and cGMP guidelines and directives, including product certification, validation, quality control and manufacture including Quality by Design (QbD) and Risk Management. TECHNICAL SKILLS REQUIREMENTS Experience of interaction with cross-departmental teams. Excellent interpersonal and communication skills, meticulous eye for detail. Self-motivation. Computer literate. Strong time management awareness and the ability to drive projects forward. PHYSICAL POSITION REQUIREMENTS Role will be based on site at Zoetis Tullamore site. Physical conditions: lifting light weights (e.g. batch paperwork folders), sitting, standing, walking. Full time Legal statement as below This job advert indicates the general nature and level of work expected. It is not designed to cover or contain a comprehensive listing of activities or responsibilities required of the incumbent. Incumbent may be asked to perform other duties as required. Additional position specific requirements/responsibilities are contained in approved training curricula. Visa status re must be eligible to work and live in Ireland as below Colleague must be legally eligible to live and work in Ireland. Summary of our Benefits In addition, to being part the world leading animal health company focused on the needs of those who raise and care for animals we offer a range of benefits such as competitive salary, bonus, 25.5 days holiday per annum plus public holidays, a defined contributory pension plan, private medical insurance for you and your family and empowered flexible working, to name a few. Please note that the benefits outlined are subject to change based on organization decision. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Apply button below to Login/Register.

Data Operations Lead Data will talk to you if youre willing to listen. In the world of asset management, data has never been more important - the differentiating factor between winning and losing. The big industry players with quite standardised portfolios have expansive systems in place for this. However, the likes of the family office or boutique investment houses with often less vanilla portfolios have, up to now, not really being catered to effectively. Within this gap in the market, a new funds FinTech player has developed a data platform that can bring disparate data streams together to aid performance monitoring, reporting and of course, to inform the investment decision. Your role will be tomanage the intersection between clients and their most optimal data sources. In short, youll be setting up and streamlining how they integrate with banks, pricing providers and other complex portfolio management systems. On top of that, youll be assessing how best to establish an efficient link to the less standard data sets such as private equity valuations or derivatives. Core Competencies At a hands-on level,your bread & butter will be data feeds. That means liaising with technical specialists, assessing if FTP or STFP connections are set up correctly and generally figuring out how the flow of investment data into the platform will work best. To succeed at this will be more about your knowledge of funds, investment products and corporate actions and the investment sphere generally. This means leading the daily operations for data feeds andwhen something breaks down - figuring out how to fix it. Ensuring accuracy, speed and efficiency are core to operations - as they must be. In looking at the bigger picture, your role can be further broken down into 2 main areas - Product and Data Strategy. On the product side, youll betaking the lead on how the platform is set-up and working with clients to design a structure that delivers the type of insights and analytics they need. Youll be assessing both the data inputs that are needed and also how that translates to outputs in the form of reporting deliverables, how it syncs with accounting systems, etc. Further down the road, your focus will includespotting opportunities where the platform can drive automation.Harnessing the power of AI also being very much on the agenda in the firms vision of what the platform can offer. Regarding data strategy, youll be helpingdesign the data model of how the platform integrates with other systems. This will mean mapping out the data processes but more importantly being the go-between to manage relationships between the technical team, the client and data vendors/sources your project management skills & effective handling of all stakeholders both being integral to success for this. Further to this youll also have an eye on the overall data strategy to include improving how data is harnessed, how data quality can be levelled up and just as importantly as all this, how things like data governance and data storage should best work in practice. In terms of skillset, your core competencies here will be service delivery, project management and communication. The platform being a digital transformation tool for these firms means your ability to engage at a senior level to drive buy-in with be key. Your Key Responsibilities oversee the data-feed connections with banks/vendors, co-ordinating their set up, mapping their data model to the platform. ensure high quality, timely data is being effectively delivered every day and building the processes and systems to support this. help design the data model required to support investment reporting and financial/tax reporting for complex assets (PE, derivatives, etc). This being a data platform youll be ensuring it integrates well with complex portfolio management and ERP systems. Benefits Bonus | Pension | Significant Equity Stake The Culture & Where you fit in The culture here is super collaborative with everyone pulling in the same direction to create a market-leading product to continue building market share. Thework model can be as hybrid or as office based as you want it to be and youll be trusted to manage your own schedule to get the job done however you see fit. You dont necessarily need to be super technical for this on the data side, rather youll act as an effective conductor to an orchestra of data specialists, developers, the product team and clients. What you bring to the table is a strong knowledge of investment types in the funds/asset management industry. Added to this youll offer an in-depth understanding of how these all feed in to building an accurate investment valuation that can be delivered in a repeatable fashion to set deadlines. Your mindset will definitely be one that is data-driven, and you see analytics, automation and AI as the future! Please do send on whatever version of your CV you have at hand and would be happy to have a call to discuss in more detail from there.

**Summary:**
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
2. Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
3. Work as a key member of the product team to solve problems and identify trends and opportunities
4. Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
5. Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
6. Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics
**Minimum Qualifications:**
Minimum Qualifications:
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
8. 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet

**Summary:**
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Engineer, Product Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
14. 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
**Preferred Qualifications:**
Preferred Qualifications:
15. Master's or Ph.D degree in a STEM field
**Industry:** Internet

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.
The Senior Data Scientist will be part of the Advisory Board, which helps health care leaders across the health care ecosystem work smarter and faster through provocative insights, actionable strategies, and practical tools to support execution. This individual will possess strong analytical and critical thinking skills as well as a passion for innovation. The data scientist will partner with leaders on the Quantitative Insights (QI) team to identify opportunities for methodological improvement, independently develop and iterate on complex models, and ensure ongoing quality of our analytical offerings.
**Schedule** : Full-time position with standard working hours of Monday - Friday, standard business hours. There will be a requirement to be flexible due to working with a Global Team.
_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 Letterkenny or Dublin office and telecommuting from a home-based office in a hybrid work model._
**Primary Responsibilities:**
+ **Product innovation:**
+ Identify opportunities for improvement in analytical tools and research methodologies
+ Serve as an expert resource to Advisory Board researchers, data analysts, and engineers
+ Scope and project manage work to deliver on tool enhancements and research initiatives
+ Partner with engineers and developers to build analyses into scalable tools and data pipelines
+ Prototype new products and solutions
+ Maintain familiarity with the state-of-the-art around big data analytics and associated technologies and techniques
+ **Data analysis and modeling:**
+ Use AI/ML methods to develop scalable analytical tools and research
+ Develop numerical/statistical programs to support analytical and research work
+ Analyze large healthcare datasets (e.g. claims, EHR, other)
+ Build datasets by connecting tables from across sources
+ **Collaboration**
+ Partner with research teams to surface ideas and use data analysis to produce future-oriented insights
+ Act as thought partner to management team on future direction of team and role
+ Be an independent thinker and advocate of data science methods and applications
+ Build and maintain relationships with Optum and UHG colleagues as teams partners on projects and analysis
+ 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
_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:**
+ Bachelor's degree (or higher) in a relevant subject OR Equivalent experience
+ Proven experience in data analysis and modeling
+ Ability to perform statistical modelling and analysis of datasets
+ Ability to work on AI/ML use cases
+ Background in machine learning and statistics
+ Foundation in data structures and algorithms
+ Extensive programming experience with Python/Pyspark or other analytics languages
+ Ability to write complex SQL queries
+ Experience designing and executing analyses on large data sets
**Preferred Qualifications:**
+ Experience in large-scale data analysis and machine learning
+ Experience with supervised and unsupervised learning methods for model build and deployment
+ Master of Science (or higher) in computer science, Engineering, Statistics, or related field
+ Experience in Redshift, S3, Glue, and other AWS applications
+ Understanding of raw health care claims data, including Medicare and commercial data sets
+ Experience building analytical products
+ Experience with user testing
+ Demonstrated depth of health care knowledge and expertise
**Soft Skills:**
+ Written and oral communication skills
**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. © 2023 Optum Services (Ireland) Limited. All rights reserved._
#RPO #BBMEMEA