Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver innovative GenAI solutions while collaborating with cross-functional teams.
- Company: Join a globally renowned management consulting firm with a dynamic, inclusive culture.
- Benefits: Enjoy competitive pay, top-notch training, and excellent career growth opportunities.
- Why this job: Make a real impact in a high-growth environment with cutting-edge technology.
- Qualifications: Strong background in applied ML and GenAI delivery; Python/R skills required.
- Other info: Be part of a diverse team that values your ideas and fosters continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for highly skilled Data Scientists to join our team. As a Data Scientist, you'll design and deliver GenAI solutions (LLM/RAG) and applied ML components, taking prototypes through to production with strong evaluation, observability and governance. You will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to turn data into actionable strategies that drive business outcomes. The ideal candidate should have a strong background in applied ML and GenAI delivery (LLM/RAG), including evaluation, deployment, and governance in production environments.
Responsibilities
- Design and deliver GenAI solutions including LLM/RAG (retrieval strategy, embeddings, vector stores, prompt flows, grounding) for enterprise use cases.
- Evaluate and improve solution quality using offline/online metrics (quality, latency, cost) and iterate based on feedback.
- Harden solutions for production with observability/monitoring, tracing, guardrails, safety controls, and reliability practices.
- Build and integrate model endpoints into products and workflows (APIs/services), partnering with engineering through to deployment.
- Work across cloud platforms (Azure/AWS/GCP) integrating storage, compute, orchestration, and model/runtime components.
- Assess data readiness for modelling/RAG (fitness, quality, access) and define remediation requirements.
- Collaborate in cross-functional squads (DS/DE/engineering/product) and contribute to reusable assets and ways of working.
- Communicate clearly with stakeholders on trade-offs, evaluation results, risks, and adoption actions.
Essential Skills
- Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch).
- Experience with LLM/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search).
- Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents).
- Exposure to big data/distributed computing and pipeline/feature engineering.
- LLM safety & governance (hallucination mitigation, grounded responses, audit trails).
- Degree in a quantitative field.
- Right to work in the UK without sponsorship.
Preferred Skills
- Cloud ML experience (AWS/GCP/Azure).
- Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz).
- Specialisms: NLP / computer vision / time series.
- NoSQL familiarity.
- Quant / trading analytics engineering practices.
- Time-series forecasting (prices, demand, blend outcomes, scheduling effects).
- Optimisation / simulation (planning, blending, logistics constraints).
- Model risk controls (bias/leakage checks, backtesting discipline, monitoring/drift).
- CI/CD, deployment, monitoring; Docker/Kubernetes.
- Experiment design and randomised trials.
- MSc with PhD a plus.
Personal attributes
- Analytical, pragmatic problem-solver; outcome-oriented.
- Self-directed, able to prioritise and juggle multiple workstreams.
- Clear communicator who can simplify complexity.
- Collaborative, curious, continuous learner.
Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of over 320,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our website. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row. We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you... Apply today!
Data Scientist - GenAI - Consultant in City of Westminster employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - GenAI - Consultant in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your GenAI projects and applied ML solutions. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with LLM/RAG and data-driven strategies.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value passion and potential. If you’re eager to learn and make an impact, we want to hear from you!
We think you need these skills to ace Data Scientist - GenAI - Consultant in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in GenAI, LLM/RAG, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background makes you a great fit for this role. Don't forget to mention specific tools or techniques you've used that relate to our needs.
Showcase Your Projects: If you've worked on any cool projects involving applied ML or GenAI, make sure to include them in your application. We love seeing real-world applications of your skills, so share links or descriptions that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Infosys Limited
✨Know Your GenAI Inside Out
Make sure you’re well-versed in GenAI solutions, especially LLM/RAG. Brush up on the latest tools and frameworks like LangChain and Pinecone, and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Highlight your analytical approach and how you’ve turned data into actionable strategies that drove business outcomes.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with cross-functional teams and stakeholders, so being able to simplify complexity is key.
✨Demonstrate Your Collaborative Spirit
Be ready to discuss your experience working in cross-functional squads. Emphasise your ability to collaborate with data engineers, analysts, and product teams, and how this has led to successful project outcomes.
