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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 levels)
Requirements
Skills and Qualifications:
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).
- Hands-on experience with AWS Bedrock and Sagemaker would be highly desirable
- 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
- Hands-on exposure in building models and setting up ML Ops using Promithius/Grafana etc.
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.
Benefits
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!
Skills Required
- Strong Python or R skills, including pandas, NumPy, and machine learning libraries such as scikit-learn
- Deep learning experience with TensorFlow or PyTorch
- Experience with LLM/RAG toolchains such as LangChain, LlamaIndex, or Semantic Kernel
- Experience with vector search technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search
- Experience with generative AI platforms such as OpenAI API, Anthropic, Gemini, or Llama
- Exposure to big data, distributed computing, pipeline engineering, and feature engineering
- Knowledge of LLM safety and governance, including hallucination mitigation, grounded responses, and audit trails
- Degree in a quantitative field
- Hands-on experience building models and setting up MLOps using Prometheus, Grafana, or similar tools
- Hands-on experience with AWS Bedrock and Amazon SageMaker
- Cloud machine learning experience with AWS, GCP, or Azure
- Strong SQL skills and experience with Tableau, Power BI, or Python visualization
- Specialization in NLP, computer vision, or time series
- NoSQL familiarity
- Quantitative or trading analytics engineering practices
- Time-series forecasting experience
- Optimization or simulation experience
- Model risk controls, including bias and leakage checks, backtesting, and drift monitoring
- CI/CD, deployment, monitoring, Docker, or Kubernetes experience
- Experiment design and randomized trials experience
- MSc degree; PhD is a plus
Infosys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Infosys and has not been reviewed or approved by Infosys.
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Healthcare Strength — Comprehensive medical coverage for employees and dependents, along with life and disability insurance, is complemented by on-site clinics and pharmacies at some campuses. Options across major networks and supportive programs enhance the core health offering.
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Parental & Family Support — Paid maternity and paternity leave, lactation facilities, and childcare options (including subsidized and on-site in some locations) provide tangible family support. Remote work allowances for family needs further enable work-life integration.
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Strong & Reliable Incentives — A quarterly variable pay structure and incentives for extra work hours create meaningful upside when business performance is strong. Recent bonus outcomes have trended higher than prior periods, providing a morale lift.
Infosys Insights
What We Do
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
