Loop Recruitment
Senior Data Scientist

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Senior Data Scientist | Decision Intelligence | Commercial Analytics | Tier 1 SaaS
Location: Cheshire (Onsite)
Package: £Competitive + Equity + Excellent Benefits
TECH: SQL | Python | AI | Commercial Analytics | Statistics | Decision Intelligence | SaaS | Revenue Analytics
We're working with a global SAAS technology company whose products are trusted by hundreds of thousands of companies worldwide. As the business continues to scale, they're investing in a new generation of commercial analytics - combining data, AI and human judgement to help shape strategic business decisions.
This is an opportunity for an experienced Data Scientist who enjoys solving complex business problems, influencing senior stakeholders and working at the intersection of analytics, strategy and AI.
The Role
Forget building dashboards or spending months training machine learning models.
This position is centred around helping the business make smarter commercial decisions.
- You'll work closely with teams across Sales, Marketing and Customer Success to understand challenges, investigate opportunities and provide evidence-based recommendations that directly influence company strategy.
- From improving customer acquisition and retention to analysing pricing strategies and commercial performance, you'll become a trusted analytical partner across the organisation.
- You'll also play an important role in exploring how AI can improve analytical workflows without replacing critical thinking, helping establish new ways of working as the company's analytical capability continues to evolve.
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.
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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
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
- Partnering with commercial stakeholders to tackle complex business challenges
- Leading end-to-end analytical projects from problem definition through to recommendations
- Using statistical analysis and data exploration to identify trends, opportunities and commercial risks
- Applying AI tools to accelerate analysis while validating outputs through sound analytical judgement
- Working across multiple datasets to generate meaningful business insight
- Presenting findings to senior leaders in a clear, commercially focused way
- Helping develop best practices around analytical thinking and decision-making
- Collaborating with Data Engineering and wider technical teams to maximise the value of trusted data
What We're Looking For
- Experience in a Senior Data Scientist, Analytics or Decision Science role
- Strong analytical and statistical problem-solving skills
- Experience influencing commercial stakeholders through data-driven recommendations
- Ability to work with ambiguous problems and define the right analytical approach
- SQL and/or Python experience
- Excellent communication skills with both technical and non-technical audiences
- Genuine curiosity and a desire to understand the commercial drivers behind the data
- Interest in AI and how it can improve analytical processes


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Nice to Have
- SaaS, subscription or B2B technology experience
- Customer lifecycle, pricing or revenue analytics
- Experience supporting Sales, Marketing or Customer Success teams
- Exposure to AI-assisted analytics or modern data tooling
- Experience working within fast-growing technology businesses
Why You'll Want This Role
- Work on strategic commercial problems with real business impact
- High levels of ownership and autonomy from day one
- Direct access to senior leadership and decision-makers
- Help shape how AI is applied across commercial analytics
- Join a collaborative, engineering-focused technology business investing heavily in data
- Excellent salary, equity and comprehensive benefits package
If you're looking for a Data Science role where your work genuinely influences business strategy rather than producing reports or maintaining models, I'd be happy to tell you more.
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