Russell Tobin
Data Scientist

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist (Python & PySpark) | Remote (UK) | 2-Month Contract
Location: Remote (UK-Based Only)
Contract: 2 Months (September – November)
Rate: Flexible DOE
We are recruiting on behalf of a leading consultancy delivering a large-scale digital transformation programme for a high-profile UK organisation. This is an exciting opportunity for an experienced Data Scientist to join a multidisciplinary team working on innovative, data-driven products.
The successful candidate will play a key role in developing analytics solutions for new digital products, working alongside engineering, product, and design teams to deliver scalable data science capabilities.
Key Responsibilities
- Design and develop scalable analytics and data processing pipelines.
- Build and optimise data science solutions using Python and PySpark.
- Collaborate with product managers, engineers, and designers throughout the product development lifecycle.
- Support product discovery activities and translate analytical requirements into technical solutions.
- Work closely with development teams to ensure seamless deployment of data science models.
- Contribute to the delivery of innovative digital products within an Agile environment.
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.
Required Experience
- Proven commercial experience as a Data Scientist.
- Strong expertise in Python and PySpark (essential).
- Experience developing analytics pipelines and large-scale data processing solutions.
- Strong knowledge of open-source data science tools and frameworks.
- Experience collaborating within cross-functional Agile teams.
- Excellent communication and stakeholder management skills.
- Must be physically based in the UK due to data sovereignty requirements.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Experience
- Experience supporting Tableau or dashboard migration projects.
- Exposure to population health, workforce planning, or supply chain analytics.
- Experience working on digital product development initiatives.
If you're an experienced Data Scientist with strong Python and PySpark expertise and are available for your next contract, we'd love to hear from you.
Apply today or send me a direct message for more information.
“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
Skills
Location