Bi Analyst-Jobs in Großbritannien

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 300,000 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?

Do you want to work on meaningful problems, shape the future of data and AI, and accelerate your career with a team that values innovation, excellence, and diversity of thought?

We are always on the look out for a diverse range of talent—from data scientists and engineers to architects and subject matter experts—to help transform how organisations harness data and next‑gen technologies. You’ll be joining a high‑growth consulting environment backed by the strength of a global leader with over 300,000 employees worldwide. Our dynamic, cross‑functional teams work at the cutting edge of data strategy, engineering, analytics, and Generative AI to solve real‑world business problems across industries.

Our Data & Analytics practice sits at the heart of digital transformation. We advise and deliver across the data lifecycle—from advisory to implementation—helping clients build modern data ecosystems, unlock value from AI, and scale responsibly.

We work across four key pillars:

• Data Strategy & Governance
• Data Engineering & Architecture
• Analytics & Decision Intelligence
• AI & Generative AI Innovation

We are hiring across all levels and capability areas, including:

• Proven experience building ML/AI models, including LLMs and Gen AI solutions
• Strong statistical foundations and ability to translate business problems into data science hypotheses
• Tools: Python, R, TensorFlow, PyTorch, Hugging Face, OpenAI, VectorDBs, LLMOps pipelines, etc.

• Deep knowledge of transformer architectures, diffusion models, and fine‑tuning LLMs
• Ability to lead GenAI use case discovery, design experiments, and prototype rapidly
• Familiarity with LangChain, RAG pipelines, embedding models, SDLC, LLMOps, etc.

• Skilled in building robust, scalable data pipelines across cloud and hybrid platforms
• Experience with modern data stacks: Spark, Databricks, Python/Scala, SQL, Delta Lake, Airflow
• Exposure to containerization (Docker, Kubernetes) and orchestration workflows

• Experience in modern data architecture design (lakehouse, mesh, medallion model)
• Expertise in Azure, AWS, or GCP, and familiarity with MDM, metadata, lineage tools
• Able to bridge business strategy with technical data platform design

• Strong understanding of industry‑specific data challenges (e.g., retail, energy, finance)
• Comfortable leading workshops, shaping problem statements, and translating insights for impact
• Proficient in dashboarding (Power BI, Tableau), hypothesis‑led analysis, and stakeholder engagement

• Design and implement AI/ML models, including GenAI‑based use cases
• Build and manage scalable data pipelines and engineering workflows
• Architect enterprise‑grade data platforms and guide data strategy for clients
• Deliver insights through advanced analytics, dashboards, and storytelling
• Support data governance, metadata, and master data design
• Collaborate with cross‑functional teams to shape new offerings and reimagine business processes through data

• 3–10+ years’ experience in relevant data/AI roles (varies by role and level)
• Strong coding skills (e.g., Python, SQL) and cloud fluency (Azure, AWS, or GCP)
• Hands‑on exposure to modern tools (e.g., Spark, Databricks, Airflow, TensorFlow, Streamlit, Redis, VectorDBs)
• Experience with production ML/AI pipelines, A/B testing, or model governance
• Deep curiosity, pragmatic problem‑solving, and clear communication skills

• Be part of a bold, growing team shaping the future of data and AI
• Work with some of the most exciting clients and use cases in the industry
• Learn, experiment, and grow in a culture that values impact, autonomy, and continuous development
• Access global career mobility and formal mentorship across domains

That’s okay. We value attitude, capability, and potential. If you’re passionate about data and AI, and you want to make a real impact— we want to hear from you.

Join our growing Data & Analytics practice and make a difference.

In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Management & Governance, Data Integration & engineering, Analytics & Data science.

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 careers page.

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. Infosys is on the Germany’s top employers list for 2023. 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!