Data Scientist
Why This Role Stands Out
This hybrid role offers the exciting chance to directly impact a company's core platform by transforming high-volume data into actionable insights, with a modern, cloud-native infrastructure freeing you to focus on impactful problem-solving. You'll thrive here if you're a mid-senior professional with strong Python and SQL skills, eager for genuine ownership and a direct line to business outcomes. Apply now to gain experience with enterprise-level projects at a data-first organization.
Quick Overview
Job Description
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.
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
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.
Skills
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