data-scientist

We’re celebrating 175 years of daring scientific innovation—and we’re not done yet. Every day, we’re channeling our passion and resources into delivering innovative therapies that change the face of healthcare. Let’s outdo yesterday. 

Follow our progress as we accelerate the next generation of cancer treatments at LetsOutdoCancer.com 

For additional information on our guidelines, please visit  http://www.pfizer.com/community-guidelines

Pfizer

• Own all critical planning master data domains necessary for Maestro to operate efficiently (e.g., item/location master, routings, calendars, lead times, lot sizes, safety stock, sourcing rules).
• Enforce data standards, validation rules, approval workflows, and change controls, ensuring transparency, auditability, and lineage across systems.
• Drive root cause elimination for recurring data issues, prioritizing systemic fixes over manual corrections.
• Position master data as a foundational asset for AI driven and automated planning, ensuring parameters are fit for purpose for optimization, simulation, and agentic AI use cases.
• Partner with Data Owners, Digital, and Advanced Analytics teams to enable parameter automation and mass recalibration.
• Reduce manual interventions through rules based and AI enabled controls.
• Progressively move humans from “in the loop” to “on / out of the loop”.
• Define clear guardrails for where human judgment adds value versus where automation should dominate, reinforcing NexGen’s exception based planning model.
• Continuously refine the future state operating model for centralized planning master data management in a NexGen environment.
• Clarify roles, responsibilities, and interfaces between Network Planners, Site Planners, RSSC, and central data teams.
• Define capability, governance, and tooling requirements to support long term scalability and sustainability.
• Act as a change leader for NexGen Supply Planning, driving the transition from local, manual master data ownership to a centralized, standardized, and automated operating model.
• Shape and communicate a clear enterprise narrative for planning master data, aligning stakeholders on why the change is needed and how it supports NexGen outcomes.
• Lead the adoption of new ways of working, ensuring master data management evolves in step with NexGen process, system, and organizational changes.
• Serve as the single accountable owner for planning master data across the end to end supply chain, interfacing with senior stakeholders in Network Planning, Site Planning, RSSC, Digital, and Business Units.

E2E Planning Master Data Manager

E2E Master Data Manager at Pfizer overseeing critical planning master data to enable automation and centralized management. Driving transformation in supply chain planning through data governance and AI enablement.

Zurich Insurance is a global insurance and risk-management company offering a broad range of products and services including commercial and personal property & casualty insurance, life and critical-illness cover, pensions and retirement solutions, savings and investment products, claims and risk advisory, and specialty offerings such as microinsurance and travel coverage. The company also runs investment funds, sustainability and climate-focused initiatives, innovation and technology programs, and a foundation for community and environmental projects. Zurich serves both individual consumers and corporate clients across many countries, emphasizing governance, ESG reporting, digital innovation, and resilience.

Zurich is a leading multi-line insurer that serves its customers in global and local markets.

With about 60,000 employees, it provides a wide range of property and casualty, and life insurance products and services in more than 210 countries and territories. Zurich’s customers include individuals, small businesses, and mid-sized and large companies, as well as multinational corporations. The Group is headquartered in Zurich, Switzerland, where it was founded in 1872.

ONE TEAM, ONE PURPOSE

We are Zurich, one global company, with one mission, one ambition, one set of shared values and a clear commitment to our stakeholders: our customers, our people, our shareholders, and the communities in which we live and work.

To find out more, follow us on Twitter: @Zurich, like us on Facebook: Zurich, subscribe on YouTube: Zurich Insurance Group, follow us on Instagram: zurichinsurance or visit our website: www.zurich.com

You can find Zurich's community guidelines on
https://www.zurich.com/services/social-media

Zurich Insurance

• Lead the data agenda and execute the data use strategy.
• Design and implement the data use strategy for the GI Business.
• Lead and develop a high-performing data team.
• Build partnerships across business and technology teams to maximize the value of data assets.
• Embed a data-driven culture in the organization.
• Identify new data opportunities for enhancing customer value.

Head of Data Strategy

Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.

RELX is a global provider of information-based analytics and decision tools for professional and business customers. The company focuses on enabling its clients to make better decisions, improve results, and enhance productivity by leveraging advanced technology and data. RELX serves various sectors, including Risk, Scientific, Technical & Medical, Legal, and Exhibitions, by offering specialized information and analytical tools that facilitate critical decision-making. The company is committed to corporate responsibility and delivering societal benefit through its products by contributing to scientific advancement, legal justice, and effective market transactions.

RELX is a global provider of information-based analytics for professional and business customers across industries.

We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions.

In short, we enable our customers to make better decisions, get better results and be more productive.

We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. 

RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America.

We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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Please note that RELX does not contact people through social media to extend job or contract offers, nor do we request money, credit card details or bank account information as part of any project or job application process. Any such request is fraudulent. Please contact your local law enforcement agency if you have been victimized by a scammer. For careers, access https://www.relx.com/careers/why-relx

RELX

• Contribute to data science projects across multiple business areas
• Design and build analytical solutions, including data processing, statistical analysis, and machine learning
• Explore new datasets and identify practical, high-value use cases
• Work collaboratively with technology, product, and data engineering teams to deliver reliable, production-ready solutions
• Communicate analytical findings clearly to both technical and non-technical stakeholders
• Support project planning, including requirements, timelines, and delivery
• Help improve analytics platforms and cloud-based workflows, including testing and migration activities
• Use a combination of open-source and proprietary tools to develop solutions
• Share knowledge and support the development of colleagues through mentoring and collaboration

Senior Data Scientist

Senior Data Scientist applying data science methods to enhance insurance analytics. Collaborating with technical experts across Europe to support data-informed decision-making.

Providing eCommerce businesses with fairer, faster, and more flexible funding.

Our mission at Wayflyer is to support the ambition of the eCommerce businesses we work with. We do this by solving the toughest problems in eCommerce, giving founders the power to pursue their ambition and achieve their big goals. We started by tackling the single biggest problem in eCommerce; working capital. By giving founders access to unsecured, non-dilutive funding at great rates, we solve their working capital challenges, unleashing growth.

So how are we doing on our mission? Well, since 2019, we have funded over 1,500 of the world’s top eCommerce businesses, providing them with over $1bn of capital, and in 2021 alone, companies using Wayflyer generated over $13bn in sales.

We have raised over $230m in equity from the same investors as Stripe and Revolut and have been valued at $1.6 billion. With customers in 11 countries, and offices in Dublin, Atlanta, New York, London, and Sydney,  we are a global business, supporting the most ambitious eCommerce founders worldwide.


Wayflyer

• Lead a team of 4+ Data Science and ML Engineers.
• Oversee the end-to-end ML lifecycle: from dataset annotation and model training to deployment, monitoring, and infrastructure maintenance.
• Partner with Product and Engineering leads to define and execute a data science roadmap aligned with business growth and risk assessment.
• Implement best practices for reproducible data pipelines, automated testing, and documentation to ensure system reliability.
• Translate complex technical findings into actionable insights for VPs and C-suite executives.
• Ensure the team leverages AI and LLMs as accelerants to producing high quality outputs rather than as a crutch.

Data Science Manager

Data Science Manager overseeing Data Science and ML Engineers at Wayflyer. Leading ML lifecycle from data preparation to deployment while collaborating with cross-functional teams.

Dun & Bradstreet is a global provider of business decisioning data and analytics. They offer comprehensive information on businesses, providing insights and intelligence to facilitate commercial credit decisions, B2B marketing, and supply chain management. Their services are designed to help companies make informed decisions by offering a vast database of commercial data from around the world. Dun & Bradstreet is widely recognized for its Data Universal Numbering System (DUNS number), which is used to identify businesses globally.

Dun & Bradstreet, a leading global provider of business decisioning data and analytics, enables companies around the world to improve their business performance. Dun & Bradstreet’s Data Cloud fuels solutions and delivers insights that empower customers to accelerate revenue, lower cost, mitigate risk, and transform their businesses. 

Since 1841, companies of every size have relied on Dun & Bradstreet to help them manage risk and reveal opportunity. For more information on Dun & Bradstreet, please visit www.dnb.com.

Dun & Bradstreet

• Define a multi-year strategy and architecture for enterprise data platforms (e.g., batch/streaming ingestion, orchestration, data governance, metadata, observability, ML feature stores), balancing build vs. buy and aligning with business priorities.
• Set standards for APIs, schemas, contracts, and data product/platform interoperability, enabling self-serve capabilities for internal builders.
• Institutionalize modern engineering practices to deliver highly available, resilient, observable platforms.
• Own platform and continuous improvement of availability, performance, reliability, and cost. Scope reflects our established platform patterns emphasizing availability, resiliency, and automation.
• Lead incident, change, release, and problem management processes for data platforms across cloud environments (e.g., GCP, AWS), ensuring timely response and communications during major incidents.
• Prioritize and deliver platform capabilities that accelerate product and analytics teams - e.g., real time data, governed sharing and AI/ML enablement.
• Establish and run portfolio governance with clear OKRs, capacity planning, and outcome focused metrics.
• Partner with Data & Analytics, Security and Legal to embed controls and continuously improve data quality through platform level controls and monitoring.
• Ensure compliance with applicable regulations and certifications as applicable to business lines.
• Build, lead, and develop a diverse, world class global team. Foster a culture of delivery, learning, motivation and engineering craftsmanship, mentor senior leaders and high potential team members.
• Own the data platform P&L elements.
• Manage strategic vendor relationships; evaluate emerging technologies.
• Maintain strong partnerships with Product, Data & Analytics, AI, Security, Compliance and Finance.
• Serve as the executive voice for our data platforms internally and externally; represent the function in strategy, planning, risk committees, and executive forums.

Senior Vice President, Global Head of Data Platforms – Engineering

Lead end-to-end strategy and operation of enterprise data platforms at Dun & Bradstreet. Ensure secure and efficient data platforms supporting global teams.

At Xerxes Global, we believe in bold. We get excited about the BIG ideas – the ones that disrupt or break open an industry to change everything. We develop innovative new ways to find insights that shake business to its foundations, new approaches to management that dare to ask “what if you could?,” and new ways of presenting information to unite industries like never before.

Xerxes Global unites different business that share a common goal: to never stop Getting Better. By working together, our businesses share resources, experts and knowledge in order grow in Bolder directions than they could have on their own.

These are the companies that come together to make Xerxes Global. Individually, each of Xerxes Global’s companies are innovative industry leaders. Together, we’re gamechangers.

Our Portfolio of Brands:

EBM Software: Making it Easier to Be Better
  Catalyst: FP&A Cloud
  Diligent: Where M&A Happens
Blue Ops - Private Equity's Most Trusted Partner
ARC - Association for Retail & Consumer Professionals
Studio X - is a fully integrated video production suite located close to the heart of Minneapolis, MN. Servicing agencies, production companies & brands, Studio X works across all media channels & platforms to help our clients think bolder and be better.

Xerxes Global

• Build statistical, ML, and AI software modules
• Work alongside product managers, software engineers and designers
• Provide principled ways of leveraging data to answer key business questions
• Turn data discoveries and processes to operational capabilities
• Identify business trends and problems through complex data analysis
• Interpret results from multiple sources using a variety of techniques
• Prepare data, implement data models and develop databases to support business solutions
• Develop novel ways to help business partners achieve objectives through analysis and modelling
• Utilize machine learning to create repeatable, dynamic, and scalable models
• Identify and develop long-term Data Science processes, frameworks, tools, and standards

Senior Data Scientist building statistical and AI software modules for AI FinTech solutions. Collaborating with product managers and providing insight for business decisions.

Expleo Group is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through business transformation, helping them achieve operational excellence and future-proof their businesses. With over 50 years of experience in developing complex products, optimizing manufacturing processes, and ensuring quality, Expleo leverages deep sector knowledge and expertise in AI, digitalization, and cybersecurity to fast-track innovation across the value chain. The organization operates in 29 countries, supported by 18,000 skilled experts dedicated to delivering high-value solutions while committing to integrity and sustainability.

Expleo is a global engineering, technology and consulting service provider that partners with leading organisations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses.  

Expleo benefits from more than 50 years of experience developing complex products, optimising manufacturing processes, and ensuring the quality of information systems. 

Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalisation, hyper-automation, cybersecurity and data science, the group’s mission is to fast-track innovation through each step of the value chain.
 
As a responsible and diverse organisation, Expleo is committed to doing business with integrity and working towards a more sustainable and secure society.
 
Expleo boasts an extensive global footprint, powered by 19,000 highly-skilled experts delivering value in 30 countries and generating more than €1.4 billion in revenue.

Expleo Group

• Lead and scale Data Solutions Practice
• Drive growth, innovation, and delivery excellence across all data services
• Develop a high-level Strategy and Business Plan for the Data Practice
• Ensure adherence to data governance, security, and compliance frameworks
• Build and maintain visibility of the Data Solutions brand internally and externally
• Attract and retain top talent, fostering a culture of innovation
• Oversee end-to-end delivery of data solutions
• Partner with Sales and Account Directors to grow revenue streams

Head of Data Solutions

Head of Data Solutions leading the practice's growth and innovation at Expleo. Responsible for strategic direction and delivery of data services within the company.

ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.

Since our foundation in Dublin, Ireland in 1990, our mission has been to help our clients to accelerate the development of drugs and devices that save lives and improve quality of life. We do this by delivering best in class information, solutions and performance, with an unyielding focus on quality at all times.

We offer a full range of consulting, development and commercialisation services from a global network of offices in 53 countries. We focus our innovation on the factors that are critical to our clients – reducing time to market, reducing cost, and increasing quality – and our global team of experts has extensive experience in a broad range of therapeutic areas.

ICON plc

• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Leverage business intelligence tools (e.g., Spotfire) for analysis and review
• Develop custom data models and algorithms to apply to data sets
• Provide specialist support for development, interpretation and application of machine learning models
• Apply analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools
• Work with key stakeholders to identify opportunities for leveraging company data to drive business solutions
• Liaise, advise and negotiate with key customer groups on requirements and propose innovative data modelling solutions
• Develop and implement capabilities to make provisioning of routine requests more routine, structured and efficient
• Contribute to initiatives that enable faster and more effective data modelling/analysis and provisioning
• Ensure systems, code and documentation are inspection ready

Senior Data Scientist developing data models, ML algorithms and BI reports for clinical trials at ICON plc. Coordinate stakeholders and ensure model performance and data accuracy.

Hybrid Data Scientists roles in Ireland

Browse 8 hybrid data scientists roles hiring in Ireland plus related opportunities such as data analyst and product analyst.

8 jobs found

E2E Planning Master Data Manager

Pfizer

Head of Data Strategy

Zurich Insurance

Senior Data Scientist

RELX

Data Science Manager

Wayflyer

Senior Vice President, Global Head of Data Platforms – Engineering

Dun & Bradstreet

Senior Data Scientist

Xerxes Global

Head of Data Solutions

Expleo Group

Senior Data Scientist

ICON plc