ShareForce

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
<ul>
<li>Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation.</li>
<li>Lead the transfer of technical knowledge, processes and model ownership from an external specialist partner into the internal team.</li>
<li>Work hands-on with data, Python, SQL and modelling tools to resolve issues and improve model performance.</li>
<li>Assess the existing data science capability and implement practical improvements to model management, governance, explainability and lifecycle processes.</li>
<li>Ensure models are appropriately documented, monitored and supported to enable sustainable internal ownership.</li>
<li>Help strengthen the organisation's approach to deploying and managing machine-learning models within Azure and Databricks.</li>
<li>Identify and prioritise opportunities across predictive modelling, AI and external data that can deliver measurable business value.</li>
<li>Develop the internal team's technical capability and establish effective ways of working.</li>
<li>Advise senior stakeholders, translating technical findings and risks into clear commercial recommendations.</li>
<li>Provide credible evidence of model performance, governance and capability to support strategic and due diligence requirements.</li>
</ul>
Skills and Experience
<ul>
<li>Significant experience in data science, machine learning and predictive modelling, ideally gained in senior or lead-level roles.</li>
<li>Deep practical expertise across the full model lifecycle, including development, deployment, validation and production monitoring.</li>
<li>Strong Python and SQL skills.</li>
<li>Practical experience with Databricks and Microsoft Azure.</li>
<li>A strong track record of taking ownership of existing production models and improving their performance and management.</li>
<li>Experience establishing effective model governance, monitoring and documentation practices.</li>
<li>Experience in regulated financial services, insurance or a comparable regulated sector.</li>
<li>Proven experience transferring technical knowledge and capability from external partners or consultancies into internal teams.</li>
<li>Strong stakeholder-management skills and the ability to operate credibly with senior leadership.</li>
<li>A delivery-focused approach and the willingness to remain actively involved in hands-on data science work.</li>
<li>Experience joining organisations for periods of transition, transformation or capability build would be particularly valuable.</li>
</ul>
Contract and Working Arrangements
<ul>
<li>Duration: 6 months</li>
<li>Rate: £650/day</li>
<li>IR35: Outside</li>
<li>Hybrid working from the Basingstoke office, with an expectation of 2-3 days onsite each week.</li>
</ul>

Interim Data Science Lead

Interim Data Science Lead

This job is no longer available

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