WRK digital
Senior Data Scientist

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Senior Data Scientist
Location: Leeds - Hybrid
Salary: Up to £85,000 + Excellent Benefits
Job Type: Permanent, Full Time
We're looking for a Senior Data Scientist to join a high-growth technology business where machine learning plays a critical role in driving commercial performance.
This is an opportunity to work on complex optimisation challenges at scale, developing models that directly influence pricing decisions, customer outcomes, and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation, and next-generation AI applications.
The Role
As a Senior Data Scientist, you'll take ownership of developing and improving production machine learning models used to support pricing and commercial decision-making.
You'll partner closely with commercial, product, finance, and engineering teams to identify opportunities, design experiments, and deliver solutions that generate measurable business impact. This role combines advanced modelling with hands-on deployment, making it ideal for someone who enjoys taking ideas from concept through to production.
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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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.
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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
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Key Responsibilities
- Develop and optimise pricing and revenue-focused machine learning models.
- Design and evaluate experiments, including backtesting and online testing methodologies.
- Build predictive models to support commercial decision-making and risk assessment.
- Deploy, monitor, and maintain production machine learning solutions.
- Work closely with stakeholders to understand business challenges and translate them into scalable data products.
- Develop and improve AI-powered solutions, including LLM and automation use cases.
- Drive best practices in model development, testing, monitoring, and governance.
- Mentor colleagues and contribute to the wider technical direction of the team.
About You
You'll be a strong fit if you have:
- Several years' experience building and deploying machine learning models in production environments.
- Strong experience in pricing, optimisation, revenue management, or commercially focused analytics.
- Advanced Python and SQL skills.
- Experience designing and evaluating experiments and understanding statistical performance.
- A strong understanding of machine learning techniques and predictive modelling.
- Experience working within cloud environments such as Azure, AWS, or GCP.
- The ability to clearly communicate technical concepts to both technical and non-technical audiences.
- A proven track record of turning business problems into measurable outcomes.


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Nice to Have
- Experience with Bayesian modelling, optimisation algorithms, or multi-armed bandits.
- Exposure to Generative AI, LLMs, or agentic AI systems.
- MLOps experience, including CI/CD, model monitoring, and deployment pipelines.
- Experience working within insurance, fintech, travel, ecommerce, or other highly transactional environments.
What's On Offer?
- Opportunity to work on genuinely business-critical machine learning problems.
- High levels of ownership and autonomy.
- Exposure to both traditional machine learning and emerging AI technologies.
- A collaborative and highly technical environment.
- Clear opportunity to influence product direction and commercial outcomes.
- Competitive salary, bonus, and benefits package.
If this sounds like something you're interested in, please apply or reach out to sophiej@wrkdigital.co.uk
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