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Data Scientist

London Interim £500 - £700 per day View Job Description
We are recruiting for two experienced Lead Data Scientists to join a major enterprise data and analytics programme focused on transforming customer engagement, commercial performance and decision-making. These positions offer the opportunity to work on large-scale customer datasets, advanced machine learning solutions and business-critical analytical products that directly influence strategic decisions.
  • Shape customer decisioning and analytics at enterprise scale.
  • Deliver data science that drives measurable business value.

About Our Client

Our client is a globally recognised organisation undergoing a significant data and digital transformation programme. They are investing heavily in advanced data capabilities, customer intelligence, and AI-driven solutions to improve customer understanding and create a single, trusted view of customers across multiple business domains.

Job Description



We are hiring for two specialist Lead Data Scientist positions.

Position 1: Decision Science, Optimisation & Production MLYou will lead the development and operationalisation of advanced decision-science capabilities, helping the business optimise customer engagement, campaign performance and commercial outcomes.

Key responsibilities include:

  • Designing and deploying causal and uplift models to improve customer targeting and decisioning.
  • Developing recommendation and optimisation models that balance customer outcomes with budget constraints.
  • Building and maintaining production-grade machine learning solutions.
  • Driving experimentation frameworks and performance measurement methodologies.
  • Collaborating with engineering and business teams to ensure scalable model deployment and ongoing monitoring.
  • Establishing best practices around model governance, version control and production support.



Position 2: Customer Intelligence, Incrementality & Value MeasurementYou will own the analytical frameworks used to measure customer value, campaign effectiveness and commercial impact across multiple markets.

Key responsibilities include:

  • Leading customer analytics and incrementality measurement initiatives.
  • Developing CLV, RFM and customer segmentation methodologies.
  • Reconciling customer, transaction and financial datasets to establish trusted performance metrics.
  • Building scalable analytical pipelines and reproducible value measurement frameworks.
  • Creating robust scenario planning models and leadership reporting.
  • Investigating and explaining differences between data sources, methodologies and reported outcomes.

The Successful Applicant



Position 1: Decision Science, Optimisation & Production MLYou will possess:

  • Advanced Python skills for machine learning, statistical analysis and production data science.
  • Strong SQL capability across complex customer, campaign and transaction datasets.
  • Extensive Databricks experience including workflows, Delta tables, model registries and production scoring.
  • Experience with causal inference, uplift modelling, recommender systems or optimisation modelling.
  • Strong understanding of MLOps, model monitoring and production deployment best practices.
  • Experience using G it and Azure DevOps within controlled development environments.



Desirable:

  • Databricks Apps, MLflow or Databricks Asset Bundles.
  • Streamlit, Dash or React experience.
  • CRM and customer activation platform exposure.
  • Marketing science, optimisation or operations research experience.



Position 2: Customer Intelligence, Incrementality & Value MeasurementYou will possess:

  • Advanced SQL skills for large-scale customer and transaction analysis.
  • Strong Python expertise covering statistical modelling, matching methodologies and analytical product development.
  • Hands-on Databricks, Spark or PySpark experience.
  • Experience developing robust reconciliation, audit-trail and validation frameworks.
  • Strong stakeholder management skills with the ability to explain complex analytical outcomes to senior audiences.
  • Experience working with source-to-report analytical processes and enterprise-scale customer data.



Desirable:

  • Loyalty, CRM or retail analytics experience.
  • Power BI reporting expertise.
  • Incremental processing and production data pipeline design.
  • Experimentation, uplift validation or customer decisioning experience.

What's on Offer

  • Competitive day rates of £500-£700 per day (Inside IR35), depending on experience.
  • Fully remote working arrangement with Canary Wharf contract alignment.
  • Initial 12-month contract with potential extension opportunities.
  • Opportunity to work within a large-scale enterprise data transformation programme.
  • Access to modern cloud data platforms including Databricks, Spark and Azure technologies.
  • Exposure to high-impact initiatives that directly influence customer strategy and commercial performance.



Contact
Hannah Kelly
Quote job ref
JN-112026-7138259
Phone number
+44 7989225567

Job summary

Job function
Technology
Subsector
Big Data
Sector
Energy & Natural Resources
Where
London
Contract type
Interim
Consultant name
Hannah Kelly
Consultant phone
+44 7989225567
Job reference
JN-112026-7138259