Data & AI 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 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?

Join Our Data & AI Team

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.

About the Team

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

Who We’re Looking For

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

Data Scientists & AI Specialists

- 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.

Generative AI Specialists

- 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.

Data Engineers

- 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

Data Architects

- 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

Data SMEs & Analytics Consultants

- 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

What You’ll Do (Depending on Role)

- 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