National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Tata Consultancy Services
Luton
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

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



Role:AI/ML and Data Science Developer

Job Type:Permanent

Location:Stevenage (Hybrid)

Number of hours:40 hours per week – full time


Are you looking for an exciting opportunity as anAI/ML?Are you passionate aboutData 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 aAI/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




Your Profile

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., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, 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.



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 and Wellbeing

Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.

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 or interview, please contact usatwith the subject line: “Adjustment Request” or callTCS London Officeto 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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.