Data Scientist

Tata Consultancy Services; Letterkenny; Hybrid; EUR 60,000 - 85,000; Full time

Benefits offered by this job

Pension

Health care

Life assurance

Laptop

Training resources

London Marathon sponsor

Wellbeing programs

Job summary

Tata Consultancy Services in Letterkenny seeks a Data Scientist with experience in Marketing and Distribution Analytics within Financial Services, including Asset Management, Life Insurance, and Retirement. The role focuses on applying data science to improve customer targeting, campaign effectiveness, and distribution outcomes in regulated environments.

You will provide technical leadership, mentor junior team members, and collaborate with marketing, distribution, sales, data engineering, and

Qualifications

• Strong programming in Python and SQL for analytics
• Proven experience leading or contributing to end-to-end data science initiatives
• Practical experience using Power BI to design dashboards and analytical views
• Ability to communicate analytical insights effectively to non-technical audiences
• Familiarity with AI-driven lead scoring or signal-based platforms (e.g., 6sense, Bombora) in B2B distribution
• Understanding of financial data structures and regulatory considerations in Financial Services

Responsibilities

• Hands-on experience applying AI/ML techniques for customer segmentation and predictive analytics in Financial Services
• Lead the design, development, and deployment of analytical models with measurable business impact
• Develop, deploy, and maintain models using cloud platforms (AWS/Azure) while adhering to governance and model lifecycle practices
• Provide technical guidance and mentor junior team members, contributing to best practices in model development and deployment

Skills

Python

SQL

Marketing analytics

Tools

Power BI

Job description

Role: Data Scientist

Location: Letterkenny, Hybrid (3 days in office)

Duration: Permanent

Careers at TCS: It means more

TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

• Work closely with the range of teams within the business to bring ideas to life.
• Develop and maintain a unified strategy that aligns operational efficiency with marketing and growth objectives.
• Work with customers and create high-impact customer experiences for our business.

The Role

We are seeking a Data Scientist with experience in Marketing and Distribution Analytics within Financial Services, particularly Asset Management, Life Insurance, and Retirement.

The role focuses on applying data science and advanced analytics to improve customer targeting, campaign effectiveness, and distribution outcomes in regulated, data-rich environments, while providing technical leadership and mentoring junior team members.

Your responsibilities:

• Hands‑on experience applying AI/ML techniques for customer segmentation, propensity modelling, and predictive analytics within Financial Services, with exposure to Asset Management, Life Insurance, or Retirement products and distribution models.
• Lead the design, development, and deployment of analytical models, ensuring alignment with business objectives and measurable impact on marketing and distribution outcomes.
• Develop, deploy, and maintain analytical models using AWS and Azure cloud platforms, including services such as Azure Machine Learning, SageMaker, and Databricks, while adhering to established engineering standards, governance frameworks, and model lifecycle practices.
• Provide technical guidance, mentor junior team members, and contribute to best practices in model development, validation, and deployment.

Your Profile

Essential skills/knowledge/experience:

• Strong programming capability in Python and SQL, with experience creating analytical datasets, performing feature engineering, and building reusable analytical code to support marketing performance measurement, advisor engagement, and customer lifecycle analytics.
• Proven experience leading or contributing to end-to-end data science initiatives, balancing hands‑on delivery with oversight of project outcomes and quality.
• Practical experience using Power BI to design dashboards and analytical views that support: - Audience and segment exploration, - Campaign, channel, and distribution performance analysis, - Interpretation of model outputs for business and marketing stakeholders
• Emphasis is placed on clarity, explainability, and decision support rather than purely technical visualization.
• Working familiarity with AI‑driven lead scoring, intent, or signal‑based platforms (such as 6Sense, Bombora, or similar tools), with experience supporting their use in B2B, intermediary‑led, or advisor‑based distribution models.
• Understanding of financial data structures and constraints, including customer, advisor, product, and transactional data, as well as awareness of regulatory, data privacy, and model risk considerations common to Financial Services environments.
• Experience collaborating with marketing, distribution, sales, data engineering, and technology teams, contributing to analytics initiatives that improve targeting precision, conversion outcomes, and customer engagement.
• Ability to communicate analytical insights effectively to non‑technical audiences, balancing statistical rigor with commercial relevance and an understanding of business drivers in Asset Management and Insurance organizations.
• Sound experience in Data Science, Marketing Analytics, or a related analytical role, with demonstrable exposure to Financial Services and cloud‑based analytics platforms

Desirable skills/knowledge/experience:

• Experience mentoring team members or leading small workstreams.
• Exposure to experimentation, uplift modelling, or advanced marketing optimisation techniques.

Rewards & Benefits

Join a global tech leader right here in Donegal. With over 1100 employees and a state‑of‑the‑art global delivery centre, we’re proud to offer world‑class career opportunities without having to leave the Northwest. Recognised as Workplace of the Year by the Letterkenny Chamber, we foster a culture of continuous learning, innovation, and respect. Our people are at the heart of everything we do – collaborating across teams, geographies, and disciplines to drive real change for clients around the world. Be part of something global, grounded in Donegal. Our competitive salary packages feature pension, health care, life assurance, laptop and access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon and partner with our local communities in Ireland.

Diversity, Inclusion and Wellbeing

Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts 1998-2011 (as amended) and the Equal Status Acts 2000-2012 (as amended).

We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.

As a Disability Confident Employer, we offer an interview to applicants with disabilities or long‑term conditions who meet the minimum criteria for the role. Please email us at [e-mail] if you would like to opt in.

If you are an applicant who needs any adjustments to the application process or interview, please contact us at [e-mail] with the subject line: “Adjustment Request” or email [e-mail] to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.