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Data Scientist

Job in Stevenage, Hertfordshire, SG1, England, UK
Listing for: Tata Consultancy Services
Full Time position
Listed on 2025-12-18
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below

Direct message the job poster from Tata Consultancy Services

UK Recruiter | HR Professional | End to End Recruitment | Tata Consultancy Services

If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number with the subject line: “Application Support Request”.

Role: AI/ML and Data Science Developer

Job Type: Permanent

Number of hours: 40 hours per week – full time

Are you looking for an exciting opportunity as an AI/ML
? Are you passionate about Data Science
?

We have an exciting role for you
- AI/ML and Data Science Developer

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.

  • Build strong relationships with a diverse range of stakeholders.
  • Gain access to endless learning opportunities.
  • Work closely with the range of teams within the business to bring products to life.
The Role

As a AI/ML and Data Science Developer
, you are required to design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. You will also be responsible for the end‑to‑end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation. In this role you will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data‑driven solutions.

Key

responsibilities
  • Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
  • Perform feature engineering and selection to optimize model performance.
  • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
  • Deploy models to production environments, ensuring robustness and scalability.
  • Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
  • Collaborate with cross‑functional teams to integrate AI/ML models with business applications and systems.
  • Train, evaluate, and optimize models using machine learning and statistical techniques.
  • Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
  • Develop and apply data science methodologies to extract insights from large‑scale structured and unstructured datasets.
  • Utilise predictive analytics, time series forecasting, and statistical models to drive business decision‑making.
  • Stay updated on the latest advancements in AI/ML and data science technologies.
  • Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.
Essential skills/knowledge/experience
  • Good experience in AI/ML development and data science.
  • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
  • Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch) and data science libraries (e.g., Num Py, pandas, scikit‑learn).
  • Proficiency in Python, R, or other relevant programming languages.
  • Proficiency in working with large datasets, data wrangling, and data preprocessing.
  • Experience in data science, statistical modelling, and data analytics techniques.
  • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Ability to work independently and lead projects from inception to deployment.
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.

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 and Wellbeing

Tata Consultancy Services UK&I is…

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