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About 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.
Responsibilities
- Design and deliver GenAI solutions including LLM/RAG for enterprise use cases.
- Evaluate and improve solution quality using offline/online metrics 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, partnering with engineering through to deployment.
- Work across cloud platforms integrating storage, compute, orchestration, and model/runtime components.
- Assess data readiness for modelling/RAG and define remediation requirements.
- Collaborate in cross-functional squads 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.
- Shape solution direction and quality bar, coach teams, contribute to sales pursuits/bids and accelerators.
Requirements
- Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch).
- Experience with LLM/RAG toolchains and vector search.
- Hands-on experience with AWS Bedrock and Sagemaker would be highly desirable.
- Experience with GenAI platforms.
- Exposure to big data/distributed computing and pipeline/feature engineering.
- LLM safety & governance.
- Degree in a quantitative field.
- Hands-on exposure in building models and setting up ML Ops using Promithius/Grafana etc.
- Cloud ML experience (AWS/GCP/Azure).
- Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz).
- NoSQL familiarity.
- Quant / trading analytics engineering practices.
- Time-series forecasting.
- Optimisation / simulation.
- Model risk controls.
- CI/CD, deployment, monitoring; Docker/Kubernetes.
- Experiment design and randomised trials.
- 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.
Skills
- Python
- R
- pandas
- NumPy
- scikit-learn
- TensorFlow
- PyTorch
- LangChain
- LlamaIndex
- Semantic Kernel
- Pinecone
- Weaviate
- FAISS
- Azure AI Search
- AWS Bedrock
- Sagemaker
- OpenAI API
- Anthropic
- Gemini
- Llama
- GenAI
- LLM
- RAG
- ML Ops
- Promithius
- Grafana
- SQL
- Tableau
- Power BI
- NLP
- Computer Vision
- Time Series
- NoSQL
- CI/CD
- Docker
- Kubernetes
Education Level
- Degree in a quantitative field
- MSc with PhD a plus
Benefits
- Industry-leading compensation and benefits
- Top training and development opportunities
About the Company
- 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.
- 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.
- 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.
Equal Opportunity
- Inclusion, Equity and Diversity