Interim Data Science Lead

ShareForce; Basingstoke; Hybrid; GBP 110,000 - 140,000; Full time

Job summary

ShareForce is seeking an experienced Data Science Lead on a 6-month contract to own four predictive models and transition data science capability in-house. You will work hands-on in Azure and Databricks, guide governance, and provide strategic direction to senior stakeholders.

The role combines leadership with practical data science delivery, requiring strong Python/SQL skills, a track record of model ownership, and the ability to drive tangible business outcomes during a critical capability

Qualifications

• Senior or lead-level data science experience.
• Full lifecycle of models: development, validation, deployment, monitoring.
• Strong Python and SQL skills.
• Experience with Databricks and Microsoft Azure.
• Experience transferring knowledge from external partners.
• Regulated sector experience (financial services) preferred.

Responsibilities

• Own end-to-end four predictive models including deployment and monitoring.
• Lead transfer of knowledge from external partner into internal team.
• Work hands-on with data, Python, SQL to improve model performance.
• Improve model governance, lifecycle processes and explainability.
• Ensure models are documented, monitored and supported for sustainability.
• Advise senior stakeholders with clear business recommendations.
• Shape data science operating model within Azure and Databricks.

Skills

Data science leadership

Machine learning

Python

SQL

Model governance

Stakeholder mgmt

Hands-on delivery

Data analysis

Tools

Databricks

Azure

Job description

The Opportunity

ShareForce is seeking an experienced, hands-on Data Science Lead on a contract basis to take ownership of four established predictive models and lead the transition of data science capability from a specialist external partner into the internal team.

This is a delivery-focused role with a clear mandate: establish internal ownership of the models, complete the transfer of technical knowledge and capability, strengthen model management and governance, and leave behind a robust and sustainable data science operating model.

Combining deep technical expertise with strong leadership, you will work across a Microsoft Azure and Databricks environment, remaining close to the data and models while providing direction and assurance to senior stakeholders.

Key Responsibilities

• Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation.
• Lead the transfer of technical knowledge, processes and model ownership from an external specialist partner into the internal team.
• Work hands-on with data, Python, SQL and modelling tools to resolve issues and improve model performance.
• Assess the existing data science capability and implement practical improvements to model management, governance, explainability and lifecycle processes.
• Ensure models are appropriately documented, monitored and supported to enable sustainable internal ownership.
• Help strengthen the organisation's approach to deploying and managing machine-learning models within Azure and Databricks.
• Identify and prioritise opportunities across predictive modelling, AI and external data that can deliver measurable business value.
• Develop the internal team's technical capability and establish effective ways of working.
• Advise senior stakeholders, translating technical findings and risks into clear commercial recommendations.
• Provide credible evidence of model performance, governance and capability to support strategic and due diligence requirements.

Skills and Experience

• Significant experience in data science, machine learning and predictive modelling, ideally gained in senior or lead-level roles.
• Deep practical expertise across the full model lifecycle, including development, deployment, validation and production monitoring.
• Strong Python and SQL skills.
• Practical experience with Databricks and Microsoft Azure.
• A strong track record of taking ownership of existing production models and improving their performance and management.
• Experience establishing effective model governance, monitoring and documentation practices.
• Experience in regulated financial services, insurance or a comparable regulated sector.
• Proven experience transferring technical knowledge and capability from external partners or consultancies into internal teams.
• Strong stakeholder-management skills and the ability to operate credibly with senior leadership.
• A delivery-focused approach and the willingness to remain actively involved in hands-on data science work.
• Experience joining organisations for periods of transition, transformation or capability build would be particularly valuable.

Contract and Working Arrangements

• Duration: 6 months
• Rate: £650/day
• IR35: Outside
• Hybrid working from the Basingstoke office, with an expectation of 2-3 days onsite each week.