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For Companies At a Glance
- Tasks: Design and deliver innovative GenAI solutions while collaborating with cross-functional teams.
- Company: Join a forward-thinking tech company focused on cutting-edge AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the AI space and shape the future of technology.
- Qualifications: Strong skills in Python/R and experience with LLM/RAG toolchains required.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 80000 £ 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.
Key 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.
- Own end-to-end workstream delivery, lead stakeholder conversations, mentor others (more senior levels).
- Shape solution direction and quality bar, coach teams, contribute to sales pursuits/bids and accelerators (most senior levels).
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.
Data Scientist - GenAI - Consultant in London employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - GenAI - Consultant in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We can’t stress enough how valuable personal connections can be when it comes to landing that Data Scientist role.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving GenAI solutions or ML components. We recommend sharing your work on platforms like GitHub or even your own website to make it easy for potential employers to see your skills in action.
✨Ace the Interview
Prepare for those interviews by brushing up on common data science questions and case studies. We suggest practising with friends or using mock interview platforms. Remember, it’s not just about technical skills; they’ll want to see how you communicate complex ideas clearly!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Scientist - GenAI - Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your experience with GenAI solutions, Python, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our needs. Don't forget to mention specific tools or methodologies you've used that relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially with LLM/RAG and cloud platforms!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Infosys Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the essential skills listed in the job description, especially Python/R and ML libraries. Brush up on your experience with LLM/RAG toolchains and cloud platforms like AWS or Azure. Being able to discuss specific projects where you've applied these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think of examples where you’ve designed GenAI solutions or improved model performance using metrics. Highlight your analytical approach and how you’ve collaborated with cross-functional teams to drive business outcomes.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in a way that’s easy to understand. You’ll need to communicate trade-offs and evaluation results to stakeholders, so being clear and concise is key. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Demonstrate Your Continuous Learning Mindset
Show that you’re a curious and self-directed learner. Discuss any recent courses, certifications, or projects that demonstrate your commitment to staying updated in the field of data science and GenAI. This will resonate well with the company’s values and culture.