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