Infosys

Data Scientist, GenAI – All Levels

Infosys

full-time

Posted on:

Location Type: Remote

Location: Poland

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Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesNoSQLNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • 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)

Requirements

  • 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
  • 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.
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!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonRSQLpandasNumPyscikit-learnTensorFlowPyTorchLLMRAG
Soft Skills
analytical problem-solveroutcome-orientedself-directedclear communicatorcollaborativecuriouscontinuous learnermentorleadershipstakeholder communication
Certifications
MScPhD