Salt
Data Science Manager - £100K + 50% bonus + £6,500 car allowance - Southampton
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Scientist, Data Science Manager
Location: Southampton area
On-site requirement: 2-3 days a month minimum.
About the Role
You will be leading and managing a Data Science team (of 2) to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision-making, and enable personalization across a retail organization.
Key Responsibilities
- Leadership & Development: Lead, coach, and develop a high-performing Data Science team.
- Roadmap Ownership: Own and deliver the Data Science roadmap, prioritizing work based on business value.
- Model Development: Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation, and recommendation.
- Solution Delivery: Ensure solutions are scalable, robust, governed, and production-ready.
- Stakeholder Collaboration: Partner with business and technology stakeholders to translate commercial challenges into data-driven solutions.
- Best Practices: Drive best practice in data science, model governance, and technical delivery.
- Business Value: Deliver measurable business value through the effective use of data science.
Reasons to use Rodeo
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.
It 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.
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.
Skills & Experience
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Proven experience leading Data Science teams in a commercial environment.
- Strong knowledge of machine learning, statistics, Python, and SQL.
- Experience developing and deploying predictive models using customer and commercial data.
- Experience with cloud analytics platforms (e.g. Databricks, Snowflake, or BigQuery).
- Strong stakeholder management, communication, and leadership skills.
- Commercially focused with the ability to prioritize and deliver high-impact outcomes.
“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