Role
Lead Data Scientist with experience in Marketing and Distribution Analytics within Financial Services, particularly Asset Management, Life Insurance, and Retirement.
Job Details
Location: Letterkenny, Hybrid (3 days in office)
Duration: Permanent
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.
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 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.
Desirable Skills / Knowledge / Experience
8–10 years of experience in Data Science, Marketing Analytics, or a related analytical role, with demonstrable exposure to Financial Services and cloud‑based analytics platforms.
Experience mentoring team members or leading small workstreams.
Exposure to experimentation, uplift modelling, or advanced marketing optimisation techniques.
Rewards & Benefits
TCS is consistently voted a Top Employer in the UK and globally. 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 & 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 UKI.recruitment@tcs.com if you would like to opt in.
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