At a Glance
- Tasks: Design and deliver innovative GenAI solutions while collaborating with talented teams.
- Company: Join a globally renowned management consulting firm at the forefront of technology.
- Benefits: Enjoy competitive pay, exceptional training, and career growth opportunities.
- Other info: Be part of an inclusive culture that values diversity and innovation.
- Why this job: Make a real impact by solving complex challenges with cutting-edge AI technologies.
- Qualifications: Strong Python/R skills and experience with GenAI tools are essential.
The predicted salary is between 63000 - 77000 £ per year.
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 Gen AI 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 Gen AI delivery (LLM/RAG), including evaluation, deployment, and governance in production environments.
Key Responsibilities
- Design and deliver Gen AI 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/Num Py; ML libs such as scikit-learn; DL frameworks Tensor Flow/Py Torch).
- Experience with LLM/RAG toolchains (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 Gen AI platforms (e. g., Open AI 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.
- 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 Ph D 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.
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.
Data Scientist - GenAI - Consultant employer: Infosys Consulting - Europe
Infosys Consulting - Europe is an exceptional employer that values its employees by fostering a high-performance, inclusive culture where teamwork and collaboration thrive. Located in the UK, the firm offers comprehensive benefits, opportunities for professional growth, and a dynamic work environment that encourages innovation and excellence. As an Executive Assistant to Partners, you will play a vital role in supporting leadership while enjoying a workplace that prioritises employee well-being and development.
Contact Details:
Infosys Consulting - Europe Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - GenAI - Consultant
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We think you need these skills to ace Data Scientist - GenAI - Consultant
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