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- Tasks: Design, develop, and deploy AI/ML models to solve complex problems.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact globally.
- Benefits: Enjoy competitive salary, health care, training resources, and discounts within the Tata network.
- Why this job: Be part of innovative projects that drive change and enhance your skills in a diverse environment.
- Qualifications: Experience in AI/ML development, strong programming skills, and familiarity with data science techniques required.
- Other info: TCS promotes diversity and inclusion, offering a welcoming culture and various employee networks.
The predicted salary is between 36000 - 60000 £ per year.
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If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 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
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.
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 us at UKI.recruitment@tcs.com with the subject line: “Adjustment Request” or call TCS London Office 02031552100 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.
Seniority level
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Seniority level
Associate
Employment type
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Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
IT Services and IT Consulting
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AI/ML and Data Science Developer employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML and Data Science Developer
✨Tip Number 1
Familiarise yourself with the latest AI/ML technologies and frameworks mentioned in the job description, such as TensorFlow and PyTorch. Being able to discuss recent advancements or projects you've worked on using these tools can really impress during interviews.
✨Tip Number 2
Network with professionals in the AI/ML field, especially those who work at TCS or similar companies. Attend industry meetups or webinars to make connections and gain insights that could help you tailor your application and interview responses.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills by working on real-world data science projects. Having a portfolio of projects that showcase your ability to design, develop, and deploy AI/ML models will give you a significant edge.
✨Tip Number 4
Research TCS's values and recent projects to understand their approach to AI and data science. Tailoring your discussions around how your skills align with their mission can show your genuine interest in the role and the company.
We think you need these skills to ace AI/ML and Data Science Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML and data science. Focus on specific projects or roles where you've designed, developed, or deployed AI/ML models, and mention any relevant technologies or frameworks you've used.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and data science. Explain why you're interested in the role at TCS and how your skills align with their requirements. Use specific examples to demonstrate your expertise.
Highlight Key Skills: In your application, emphasise your proficiency in programming languages like Python or R, as well as your experience with machine learning frameworks such as TensorFlow or PyTorch. Mention any big data technologies or cloud platforms you are familiar with.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to AI/ML and data science. This shows your commitment to staying updated with the latest advancements in the field, which is crucial for the role.
How to prepare for a job interview at Tata Consultancy Services
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML algorithms and frameworks like TensorFlow or PyTorch. Bring examples of projects you've worked on, especially those involving LLMs or GenAI, to demonstrate your hands-on expertise.
✨Understand the Business Context
Research TCS and its clients to understand their industries and challenges. Be ready to explain how your skills can help solve specific problems they face, showing that you can translate technical requirements into business solutions.
✨Prepare for Problem-Solving Questions
Expect to tackle technical questions or case studies during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to work through complex data science problems.
✨Emphasise Collaboration and Communication
Highlight your experience working in cross-functional teams. Discuss how you’ve effectively communicated technical concepts to non-technical stakeholders, as this is crucial for integrating AI/ML models within business applications.
