ShareForce
Data Science Lead - Contract

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We're looking for an experienced Data Science Lead
To lead the delivery of high-impact data science and AI initiatives for an Insurance Brokerage. You'll combine hands-on technical expertise with strong leadership, working closely with stakeholders to turn complex business challenges into practical, scalable data-driven solutions.
Our client is a forward thinking Insurance Brokerage seeking to build an in-house Data Science and AI capability. The successful candidate will sit at the helm of the team, providing thought and team leadership whilst also staying hands on in development.
Responsibilities
- Lead the design, delivery and ongoing development and support of data science, machine learning and AI solutions from discovery through to production.
- Be willing to be hands on in the support of existing AI models alongside the team of Data Analysts.
- Translate business challenges into clear analytical and technical approaches that deliver measurable value.
- Provide technical leadership, direction and quality assurance across data science and AI projects.
- Partner with product, engineering, data and business stakeholders to drive effective delivery and adoption.
- Mentor data analysts and establish pragmatic best practices for modelling, experimentation and productionisation.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Experience & Skills
- Strong track record delivering data science and machine learning solutions in complex, commercial environments.
- Deep expertise in Python, statistical modelling, machine learning and modern data science tooling.
- Demonstrable experience with modern cloud technologies, including Databricks and Azure.
- Experience taking models and AI solutions from prototype through to production at scale.
- Proven ability to lead technical teams and influence senior technical and non-technical stakeholders.
- Strong commercial judgement, with the ability to balance technical sophistication, delivery speed and business impact.
- Experience required in heavily regulated environments, ideally Insurance or Financial Services.


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Additional Information
- Rate: Up to £600/day
- IR35: Outside
- Location: 2 - 3 days per week on site working in Hampshire
- Duration: 6 months
- Start Date: ASAP
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