Data Scientist - Genai - Consultant

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?

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.

• 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)

• Strong Python/R (pandas/Num Py; ML libs such as scikit-learn; DL frameworks Tensor Flow/PyTorch).
• Experience with LLM/RAG tool chains (e.g., Lang Chain, Llama Index, 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.

• Cloud ML experience (AWS/GCP/Azure).
• Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz).
• Specialisms: NLP / computer vision / time series.
• No
  
  SQL 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 work streams.
• 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

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