120 Senior Data Scientist jobs in Ireland

We are recruiting a Data Scientist, it's a full time 37.5 hour position.

Musgrave is one of Europe's most successful family-owned businesses with a 140-year heritage in food and brand innovation, supporting communities across the island of Ireland and Spain.

Every day we feed one in three people in Ireland through 11 market leading food and beverage brands that include SuperValu, Centra, Frank and Honest and Musgrave Market Place. We are proud to support thousands of retail and foodservice family businesses who live and work in the heart of the communities they serve.

Our Data and Analytics team is expanding, and we are looking for passionate and talented Data Scientists to join the team and make Musgrave a truly data driven company. You will use advanced analytics and big data technologies to drive better actions for our business; personalising customer's needs across all channels, implementing more efficient processes, optimising marketing spend and driving new data-based income streams.

What you'll be doing:

Reporting to Data Analytics Manager and working across Retail, Wholesale and Support areas.

• Use abstract thinking and problem-solving skills to identify business opportunities and pinpoint problems
• Drive data science initiatives requiring a variety of analytical and business skills across our business, including customer behaviour, segmentation, loyalty, marketing, media, online and trading.
• Provide business partners with data driven insights to streamline processes, generate revenue and improve bottom line performance.
• Clearly and concisely explain technical findings to non-analytical peers and business stakeholders.
• Utilise best in class data mining and statistical techniques to derive business value from store, product, operations, financial, and customer transactional data.
• Support our personalisation, data monetisation and business agendas by using advanced techniques to deeply understand customer behaviours/needs, evolving customer trends, and providing tailored shopper experiences consistently across all channels.
• Provide a strong data-driven voice to the rest of the business and be an advocate for using analytics to solve problems and create business value.
• Able to coach, develop and lead Graduates and Junior Data Scientists

What we're looking for:

• 3 – 5 years' experience in a similar role.
• Passionate about using data, analytics and AI to drive business performance
• Proven track record of using advanced solutions that have transformed business performance.
• Ability to query large data sets using SQL with experience with cloud-based environments an advantage
• Proficient in using Python or R.
• Experience applying computational algorithms and statistical methods to structured and unstructured data.
• Experience with exploring and developing solutions in Databricks is a plus.
• Experience combining analytic methods with advanced data visualizations.
• Ability to breakdown and clearly define problems.
• Demonstrated ability to own and deliver projects that deliver real business value.
• Strong communication, presentation and influencing skills.
• A third level qualification in Statistics, Computer Science, Data Science (or equivalent qualification), preferably at post-graduation level.
• Experience coaching or mentoring data scientists or analysts

What we Offer or Why Musgrave:

Career Development: With a commitment to your personal and professional growth, Musgrave offers numerous opportunities for advancement and learning.

Collaborative Environment: Work alongside a passionate team, where your contributions will make a significant impact

Innovation Focus: Be part of a company that values forward-thinking solutions

Community Focus: Be part of a company that truly values its communities and strives to make a positive impact.

Be Part of a Legacy: Join a company with a long-standing commitment to community and innovation.

Are you ready to make a difference? Apply now and join is in creating a future where business success and positive change go hand in hand

Work location is flexible in the republic of Ireland. We have offices in Cork and Dublin. Work Smart hybrid work arrangement applies for this role. Frequent travel to Cork.

Musgrave is an equal opportunities employer. We encourage applications from diverse candidates. If we can make any accommodations to enable you to be the best version of yourself during the interview, please let us know.

Musgrave operate a Work Smart hybrid working model where you can alternate your time between connecting and collaborating in the business and working remotely. Occasional business travel to other locations will also be required

TBC

About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 3-8+ years of data science/quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
• A builder's mindset with a willingness to question assumptions and conventional wisdom

Preferred Qualifications

• Experience deploying models in production and adjusting model thresholds to improve performance
• Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
• Experience with distributed tools such as Spark, Hadoop, etc.
• A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual salary range for this role in the primary location is €69,600 - €153,600. This range may change if you are hired in another location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant's location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

Are you ready to bring your expertise to a household name in the industry? Partnering with a client an experienced
Data Scientist
to join a dynamic team.

In this hybrid role, you will leverage advanced analytics to solve complex business challenges and deliver actionable insights that drive decision-making at every level.

Key Responsibilities

• Work closely with stakeholders across the business to understand requirements and translate them into analytical solutions.
• Apply advanced statistical and machine learning techniques (forecasting, clustering, optimization, etc.) to support business objectives.
• Query and manipulate large datasets using SQL and analytical programming languages (Python, R, or similar).
• Develop and deliver data visualisations and dashboards using tools such as Tableau, Qlik, or Power BI.
• Communicate insights clearly, demonstrating the business benefits of analytics to both technical and non-technical audiences.
• Operate effectively in a fast-paced environment, balancing multiple priorities while ensuring high-quality output.

About You

• Minimum of
  5 years' experience
  in a similar data science or advanced analytics role.
• Proficient in
  R, Python, or other analytical programming languages
  .
• Strong SQL skills and proven ability to work with large-scale databases.
• Experience in
  cloud-based environments
  (advantageous).
• Skilled in the use of
  BI and data visualisation tools
  such as Tableau, Qlik, or Power BI.
• Strong interpersonal and stakeholder management skills, with the ability to influence and build relationships across the business.
• Excellent written and verbal communication skills, including experience presenting findings to senior stakeholders.
• Third-level qualification in
  Statistics, Computer Science, Analytics
  , or a related discipline (or equivalent experience).
• A self-starter with attention to detail, logical decision-making, and the ability to thrive in a dynamic environment.

Your career at Deutsche Börse Group
Your Area of Work
Join Clearstream Fund Services as a Data Scientist to design and prototype data products that empower data monetization and business users through curated datasets, semantic models, and advanced analytics. You'll work across the data stack—from pipelines to visualizations—and contribute to the evolution of AI-driven solutions.

Your Responsibilities

• Prototype data products including curated datasets and semantic models to support data democratization and self-service BI
• Design semantic layers to simplify data access and usability
• Develop and optimize data pipelines using data engineering tool (e.g. Databricks)
• Use SQL, Python, and PySpark for data processing and transformation
• Create Power BI dashboards to support prototyping and reporting
• Apply ML/AI techniques to support early-stage modeling and future product innovation
• Collaborate with data product managers, functional analyst, engineers, and business stakeholders
• Ensure data quality, scalability, and performance in all deliverables

Your Profile

• Master's in Data Science, Computer Science, Engineering, or related field
• 3+ years of experience in data pipeline development and prototyping
• Proficiency in SQL, Python, and PySpark
• Hands-on experience with Databricks
• Experience building Power BI dashboards and semantic models
• Strong analytical and communication skills
• Experience in financial services or fund administration
• Fluent in English

Athena Analytics provide software the "Athena Tracker" to educational institutions. This software uses machine learning to identify a student's potential. The student's performance throughout school is then tracked against this for the purpose of highlighting when they dip below their own unique potential and may require some additional support. We recognise that each student's pathway through school is unique. Success is different for each student. Traditionally academic tracking is focused on both the high achievers and the students that require most support. Our software aims to ensure that every student gets this type of attention and no student gets missed in a busy school system. Over 400 schools are using the Athena Analytics products.

Any role at Athena Analytics will suit someone who is passionate about improving the education experience in Ireland for all involved, someone who has a keen interest in data science and it's applications.

We are looking for a hands-on Data Scientist to take ownership of this core predictive model and the Python-based backend it runs on. This role requires not just strong technical skills, but also the ability to work independently, deliver production-ready code, and collaborate proactively with a small team. The role involves replacing and improving existing legacy code, so experience with working in real-world, imperfect codebases is essential.

This can be a fully remote role, but the person must be available during Irish working hours and willing to collaborate regularly online. This role is part-time, approximately 2-3 days per week but may grow to a full-time role.

Responsibilities:

• Fully rewrite and maintain the core Python model behind the Athena Tracker, currently used by 400+ schools.

• Build and maintain data pipelines that process, clean, and load large datasets from school MIS systems.

• Work with other team members (developers, designer, support) to ensure the data science components are robust, scalable, and aligned with product needs.

• Maintain a clear focus on delivery and avoid excessive exploratory work unless required for direct product improvements.

• Help publish technical documentation or articles related to Athena's work in education analytics.

• Be available for regular check-ins, share progress clearly, and ask questions early when roadblocks arise.

Minimum Requirements:

• Strong Python skills, especially with pandas, numPy, and scikit-learn or LightGBM.

• Experience writing and maintaining production-level code — not just notebooks or prototypes.

• Strong SQL and data manipulation skills.

• Demonstrated ability to work independently and deliver well-tested, documented code.

• Good communication skills and evidence of working well in a small team or startup setting.

• Knowledge of the Irish secondary school system or interest in improving education systems.

Desirable (but not required):

• Familiarity with Docker and model deployment practices.

• Prior involvement in publishing articles or technical documentation.

Deliverables:

• Re-written code base

Position Overview

The Data Scientist is responsible for discovering the information hidden in vast amounts of data and supporting the business in making smarter decisions thereby driving significant business efficiencies. The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems and collaborating with key business stakeholders to optimize and streamline reporting and metrics, and implement solutions to create better business value.

KEY DUTIES/RESPONSIBILITIES

• Work on the process of translating technical objectives into defined problems that can be solved by applying data science.
• Design algorithms to address current technical problems.
• Work closely with COE Team members to apply advanced analytics, modelling and simulation to replicate and anticipate issues.
• Uncover new technical problems that need to be solved and support better decision-making.
• Communicate data analysis and insights using rich visualization tools (e.g. Tableau; MicroStrategy; R; Power BI) and leverage data to present compelling cases to optimize solutions.
• Perform exploratory data analysis, generate and test working hypothesis, and uncover important trends and relationships.
• Provide expertise on mathematical concepts and inspire adoption of advanced analytics.

EDUCATIONAL REQUIREMENTS

• A recognised Degree in Applied Statistics, Maths or a related quantitative discipline.
• Master's Degree in applied statistics, applied maths, or related quantitative discipline preferred.

PREVIOUS WORK EXPERIENCE & SKILLS

• Minimum of 2 years of relevant experience
• Experience with relational databases, information and insights.
• Experience with modelling software, data mining techniques and methodologies.
• Experience with visualization software (Tableau, MicroStrategy).
• Experience leveraging cloud platforms and developing in SQL.
• Superior critical thinking, analytical and problem-solving skills.
• Passionate, creative and forward-thinking individual.

COMMUNICATION COMPLEXETIES

• Must be able to communicate complex solutions to nontechnical stakeholders in a way that can easily be understood. Data-science software tools can help visualize findings, but strong verbal communication skills are required to tell the story clearly.
• Work closely with Centre Of Excellence team members to apply advanced analytics, modelling and simulation to replicate current issues and develop solutions.
• Communicate data analysis and insights using rich visualization tools
• Able to inspire adoption of advanced analytics through effectively communicating the benefits.

CULTURAL DIVERSITY

• Establish a worldwide network of contacts within the Company with broad culture diversity.
• Ability to work within multi-cultural organisation and to leverage diversity.

Skills

Data Analysis; Data Science; Structured Query Language (SQL); Tableau (Software); Data Mining

Job Description

Have you ever wanted to make a difference?

At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.

Abbott Ireland

In Ireland, Abbott employs over 5,000 people across nine sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.

Diabetes Care Kilkenny

Our new manufacturing facility in Kilkenny, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can. At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.

This is how you can make a difference at Abbott:

We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:

What You'll Do

As a key member of our team, you'll:

• Provide real-time data analysis to support manufacturing operations—helping optimize processes, improve material performance, and enhance yield.
• Develop documentation that maps critical quality attributes to manufacturing systems, ensuring traceability and compliance.
• Maintain and enhance our Manufacturing Execution System (POMS), including database schemas, reports, and recipe configurations.
• Collaborate cross-functionally with QA, Engineering, R&D, Regulatory Affairs, and Purchasing to ensure timely and effective execution of initiatives.
• Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.
• Independently explore and analyze large, complex datasets to uncover insights and support investigations.
• Translate statistical findings into actionable business strategies.
• Lead projects to advance statistical methodologies and contribute to the site's data strategy.
• Provide mentorship and consulting on statistical tools and data analysis to junior analysts and engineers.
• Build automated solutions to streamline reporting and analysis.
• Communicate complex statistical results in a clear, compelling way to non-technical audiences.

Education and Experience:

• A degree in a quantitative field (e.g., Mathematics, Data Science, Statistics, Biostatistics) or equivalent industry experience.
• Experience with relational databases (Oracle, MySQL, Microsoft Access, etc.).
• Proficiency in programming languages such as Python, Java, Scala, C++, and R in Linux/Unix environments.
• Familiarity with statistical software like JMP or SAS is a plus—training will be provided if needed.
• Strong foundation in statistical concepts including hypothesis testing, regression analysis, time series, and SPC.
• A strategic mindset with the ability to apply analytics in a business context.
• Experience in manufacturing or working with Manufacturing Execution Systems is beneficial but not essential.
• Excellent communication skills and a collaborative approach to problem-solving.

What we Offer

Attractive compensation package that includes competitive pay, as well as benefits such as

• Family health insurance,
• Excellent pension scheme
• Life assurance
• Career Development
• Fantastic new facility
• Growing business plus access to many more benefits.

Connect with us at and on LinkedIn, Facebook, Instagram, X and YouTube.

Abbott is an equal opportunities employer.

Connect with us at or , on LinkedIn at , on Facebook at and on Twitter @AbbottNews.

Abbott is an equal opportunities employer.

The role of Data Scientist will support key business functions using a variety of data mining/data analysis methods, various data tools and programming languages, and creating/running simulations. The purpose of this role will be to drive business actions with data-based insights, by communicating and working with a wide range of stakeholders and functional teams. This is a hybrid role based in our Dublin City Centre office 3 days per week.

What you will do

The Data Scientist will be responsible for working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business actions. They will also be tasked with incident and reliability analysis as required and collecting and documenting requirements for strategic projects.

Main tasks will involve

• Provide actionable business insights to various business functions.
• Advise business on statistical formulations and reliability.
• Oversee planning and analysis of product delivery trials.
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Responsibility for implementation of best practices as they relate to Data Science, data quality and governance strategies.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Research data science trends and technological innovations to make appropriate development recommendations.
• Working closely with other development & technical staff.
• Report on critical business KPIs and provide insights on trends
• Identify areas for improvements for reliability, efficiencies and adaptability – in that order.
• Act as a Data Steward, identifying gaps and reporting on data quality improvements.

What we are looking for

• A degree or Masters in Statistics, Mathematics, Computer Science or a related discipline.
• 2-3 years of experience manipulating data sets and building statistical models. Statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
• Knowledgeable in business processes and functions.
• Experience working with non-standard, unstructured data sets and experience with data quality and data profiling.
• Strong analytical skills that ensure projects are delivered to an accurate and high-quality standard.
• Technical Skills:
  Python/R/SAS/SPSS development skills, Strong development and design skills, PowerBI development.

Key Competencies

• Problem Solving
• Innovation and Change
• Planning and Organising
• Communication and Collaboration

Why you will love working here

• Work-life balance: Hybrid working model for applicable roles, Full range of leave entitlements, Career Breaks and Secondments
• Physical Wellbeing: Discounted gym membership, Eyesite tests, Flu Vaccinations, Paid sick benefit, wellbeing initiatives
• Financial Wellbeing: Competitive salary, Defined contribution pension, Income protection 1:1 financial advice.
• Learning & Development: We promote a culture where you can continuously develop on a personal and professional basis. These include access to 24/7 resources such as: In-House Training Programme, Go1 Learning Content, Irish Management Institute, The Executive Institute

Job Introduction

Data Scientist (Gen AI)

Remote with occasional travel to Dublin.

Here at BPP Education Group, an opportunity has arisen for a methodical and analytical individual to join the team as a Data Scientist. You will be responsible for designing, prototyping, and developing AI-driven solutions using advanced machine learning and GenAI techniques.

What if you read the description and don't meet every single requirement? We encourage you to apply anyway - we value diverse backgrounds and are committed to inclusivity

Why DMI x BPP Group?

• Competitive Salary: €50,000 - €60,000 per annum, based on experience and technical depth
• Company Health Insurance for Employees
• Company Pension
• Remote working with some travel to the DMI office & UK required
• 28 Days annual leave + 4 additional company days
• Access to the DMI & BPP suite of courses

What you'll be doing

In this role you will work on projects such as AI coaching tools, AI chatbots, conversational assistants, recommendation systems, churn prediction, and personalization models. The focus will be on experimenting with LLMs, NLP, and predictive models to deliver innovative features that enhance marketing, learning, and customer engagement. You will collaborate with product, marketing, and ops teams to bring ideas to life, while working alongside the MLOps Engineer who will take your successful prototypes into production.

What you will learn & gain

This role offers the opportunity to be at the forefront of applied Generative AI in marketing and education.

You will:

• Gain deep expertise in LLMs, NLP, and prompt engineering.
• Apply AI techniques to real-world business challenges such as lead scoring, churn prediction, and personalization.
• Work with the MLOps Engineer to bring your models from prototype to production.
• Help shape the future of AI-driven customer and learner experiences across multiple global brands.

What we're looking for

To be successful in this role you will need to have a proven track record in the following areas:

Must have skills

• Strong background in machine learning, NLP, and generative AI.
• Proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Hugging Face).
• Hands-on experience with LLMs (OpenAI, Hugging Face, or similar).
• Solid understanding of model experimentation, evaluation, A/B testing.
• Familiarity with AWS cloud environment.
• Strong experience in data visualization and BI reporting tools (e.g., Tableau, PowerBI)

Nice to have

• Familiarity with recommendation systems and personalization algorithms.
• Understanding of marketing technology and customer journey analytics.
• Exposure to MLOps practices for deployment and monitoring.

Please note that the successful candidate will be required to undergo any necessary checks.

BPP Education Group are proud to be a Disability Confident employer so if you need any reasonable adjustments for the interview process, please just let us know

BPP Education Group actively promotes equality of opportunity for all with the right mix of talent, skills and potential, and welcomes applications from a wide range of candidates. BPP will select candidates for interview based on their skills, qualifications and experience. Please note that for those posts that are exempt from the Rehabilitation of Offenders Act 1974, the successful candidate will be required to undertake a DBS check in addition to BPP undertaking any necessary online searches. This is deemed appropriate and necessary from a safeguarding perspective, and in line with BPP's safer recruitment practices

BPP Education Group reserves the right to amend or withdraw this advertisement at any time prior to the closing date, should we receive a high volume of applications or if business needs change.