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?

The Role

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.

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 level)

Skills and Qualifications:

Essential Skills:

· Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch).

· Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz).

· 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

Preferred Skills:

· Cloud ML experience (AWS/GCP/Azure).

· Java experience

· 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.

About Enterprise AI

Our Enterprise AI practice supports the largest global organisations to find and deliver business value from AI. We work within the broad Infosys ecosystem partnering with deep industry and domain experts to find transformational value and then enable clients to bridge from strategy through to implementation collaborating with our global delivery organisation. Examples of our work include developing AI transformation roadmaps, setting up AI Centres of Excellence, automating complex workflows with multi-agent systems and intelligent document processing with generative AI. We always bring a human-centred and value-led approach to technology transformation.

About Infosys Consulting

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!