Senior Data Scientist

2 days ago

Letterkenny, Donegal, Ireland Tata Consultancy Services Full time

Role: Senior Data Scientist Job Type: Permanent
Location: Letterkenny Co. Donegal - TCS Global Delivery Center – Hybrid (3 days in office)

Ready to utilise your AI/ML expertise to improve the financial lives of customers worldwide?

Join TCS as a Data Scientist at our state-of-the-art Campus in Letterkenny and take your career to the next level This role will involve developing data-driven strategies to drive meaningful recommendations and models for our customer in the Insurance Sector.

Careers at TCS: It means more
TCS is a purpose-led transformation company, built on belief. We don't 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 opportunity to make an impact that matters, on challenging client projects that will enhance your skills and experience.

  • Grow your career, while being exposed to the latest advances in AI/ML.
  • Be part of an exciting team where you will be challenged every day.
  • Lead projects and inspire both colleagues and stakeholders.
The Role
As a Data Scientist, you will play a pivotal role in driving the development of cutting-edge machine learning solutions for our client. Your responsibilities will encompass collaboration with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of AI and machine learning to solve real-world problems, drive business growth, and create value.

Key responsibilities:
  • Understand business problems and translate them into analytical problems.
  • Acquire, clean, and manipulate large datasets to extract actionable insights.
  • Develop and implement machine learning models, including but not limited to Large Language Models (LLMs), to solve various business problems.
  • Rapidly experiment to identify hidden relationships among data sources and identify new potential business opportunities.
  • Build best-in-class solutions leveraging advanced machine learning and statistical algorithms.
  • Simplify and present analytical insights to stakeholders with both analytical and non-analytical backgrounds.
  • Develop lightweight front ends for Proof of Concepts (POCs) using ReactJS.
  • Stay current with key developments in analytics research and experiment with implementing them in real project scenarios.
  • Manage project plans and timelines to ensure high-quality and timely delivery.
  • Build data products in collaboration with other areas such as ML Engineering, Visualisation, Data Engineering, and IT.
Your Profile
Key skills/knowledge/experience:
  • Master's degree in computer science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Scientist or similar role, with a strong portfolio of machine learning projects.
  • Expertise in statistical modeling techniques such as linear regression, logistic regression, generalized linear models, SVM, ensemble models (Random Forest, XGBoost), cluster analysis, PCA.
  • Hands-on experience with Large Language Models (e.g., GPT, BERT) and natural language processing techniques is vital.
  • Proficiency in programming languages such as Python, and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch).
  • Strong programming experience with SQL and libraries like NumPy, pandas, scikit-learn, statsmodels.
  • Solid understanding of data structures, algorithms, and statistical methods.
  • Basic UX development skills and experience with front-end technologies, specifically ReactJS, to develop lightweight front-ends for POCs.
  • Ability to convey complex technical information to non-technical stakeholders.
Good to have:
  • Strong experience in advanced analytics / Data Science in a consulting space or with reputed organisations.
  • Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline.
  • Proven experience with building and deploying machine learning models in a commercial setting.
  • Experience with cloud platforms (e.g., AWS) for deploying machine learning models.
  • Familiarity with Agile development methodologies.
  • Understanding of software development best practices, including version control (e.g., Git) and CI/CD pipelines.
  • Knowledge of additional front-end frameworks or libraries is a plus.
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, phone, access to extensive training resources and discounts within the larger Tata network.

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 believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is 'Inclusion without Exception'. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes.

You'll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon.
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.
If you are an applicant who needs any adjustments to the application process (including completion of the application form) or interview, please contact us at with the subject line: "Adjustment Request" or liaise with recruiter at to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Next Steps

Due to a 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.

Join us and do more of what matters. Apply online now.

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