Data Science Consultant

Data Science Consultant

London (Hybrid)

A fast-growing AI analytics company is seeking a Data Science Consultant to help enterprise organisations unlock value from large-scale behavioural data using advanced machine learning and AI technologies.

The company builds cutting-edge behavioural AI platforms used by global enterprises across telecoms, financial services, retail and digital industries. Their technology processes billions of customer interaction events daily , enabling organisations to better understand behaviour, personalise experiences and drive measurable commercial outcomes.

Recognised as one of Europe’s fastest-growing technology companies , the business is expanding its Client Success team and is looking for someone who combines strong data science capability with a consultative mindset .

This role is ideal for data scientists looking to become more client-facing , or technical consultants with a strong machine learning background who want to work with modern AI tooling and large-scale data.

The Role

You will join the Client Success team , working closely with enterprise customers, product teams and data engineers to deliver real-world AI and data science solutions.

This is a hybrid role combining technical delivery and consulting , helping customers translate behavioural data into actionable insights and measurable ROI.

The position is approximately 50% technical data science and 50% client consulting .

Key Responsibilities

• Work with enterprise customers to understand complex business problems and translate them into data science solutions
• Build and prototype machine learning models to generate behavioural insights and predictive capabilities
• Leverage the company’s core data science platform to deliver measurable value to customers
• Design and engineer new features and models to improve understanding of customer behaviour
• Communicate technical concepts clearly to non-technical stakeholders including customers, sales teams and product teams
• Help customers develop an understanding of how behavioural AI models drive business outcomes
• Collaborate with product and engineering teams to identify new opportunities for data science innovation
• Contribute to the internal data science community and share best practices

Skills & Experience

Essential

• Strong ability to break down complex client problems and apply data science solutions that drive measurable business outcomes
• Experience building and evaluating machine learning models (e.g. clustering, NLP, deep learning)
• Experience with data exploration, feature engineering and model evaluation
• Familiarity with modern AI tooling and frameworks (e.g. agentic AI, MCP servers or similar AI infrastructure)
• Ability to work closely with both technical and non-technical stakeholders
• Strong communication skills with the ability to explain technical ideas in commercial terms
• Willingness to travel occasionally to meet enterprise clients (typically 1–2 short trips per quarter)

Desirable

• Experience working with B2B data platforms or analytics products
• Experience with Spark SQL, PySpark or distributed data systems
• Experience with large-scale data tooling (e.g. Spark, Hive, Databricks)
• Cloud experience (AWS – S3, EMR etc.)
• Exposure to LLMs, generative AI, agentic systems or causal AI

The Company

• High-growth AI and behavioural analytics company
• Enterprise customers across multiple industries
• Platform processes billions of behavioural data events daily
• International team with offices across Europe, the US and the Middle East
• Collaborative and fast-moving environment with strong opportunities for impact and growth

Benefits

• Flexible / hybrid working
• 26 days holiday (increasing with service)
• Pension scheme
• Life assurance
• Income protection
• Enhanced parental leave
• Cycle to work scheme
• Training and development opportunities
• Regular company socials and events