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Data Scientist - Leeds (Hybrid)
Gain experience with enterprise level projects at a "data-first" company that is free of legacy systems and corporate bureaucracy!
The Opportunity
As Data Scientist, you will turn messy, high-volume data into the models and insights that directly shape the company's core platform. Because data is the product here, you won't be playing second fiddle to any other function, your analysis has a direct, visible line to what the business actually sells, and you'll be able to point to measurable impact quickly.
There is zero legacy system maintenance in this role: the infrastructure is modern and cloud-native, so your time goes into solving real analytical problems rather than firefighting old technical debt. This is a hands-on, mid-level role suited to someone with a few years' commercial experience who wants genuine ownership rather than being one of many data scientists in a large, siloed team.
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.
Start with a chat, not a search bar
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.
What You'll Be Doing
- Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour
- Writing efficient, well-tested SQL and Python to explore, clean and model data at scale
- Working with modern cloud data warehousing tools to access and analyse large, high-volume datasets
- Translating analysis into clear, actionable recommendations for both technical and non-technical stakeholders
- Collaborating closely with data engineers to get models into production and monitor their performance
- Designing and interpreting experiments (A/B tests and similar) to validate impact
Requirements
- Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL
- Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure, GCP or Snowflake)
- Exposure to FMCG or retail data i.e. sales, loyalty, pricing, product or customer data will be a strong advantage, though not essential
- A pragmatic, detail-oriented approach and good communication skills


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On Offer
- Salary up to £55,000
- Annual Bonus
- Hybrid, flexible working
- 26 days annual leave +BH
- Fully paid day off per year to volunteer or support a charitable cause of your choice
- On-demand training AND an annual training budget
Please note that only candidates within a reasonably commutable distance of Leeds, and full right to work will be considered.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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