At a Glance
- Tasks: Lead a high-performing Data Science team to deliver impactful machine learning solutions.
- Company: Join a leading retail organisation focused on innovation and customer insight.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Work in a dynamic environment with strong career advancement potential.
- Why this job: Make a real difference in retail by driving data-driven decision-making and personalisation.
- Qualifications: Experience in data science leadership, Python, SQL, and cloud analytics.
The predicted salary is between 100000 - 100000 £ per year.
****This role will require you to be in Southampton 2 days a month**** Data Science Manager, Leadership, Leading Data Science, Retail, Python, SQL, Roadmaps, Cloud Analytics, Southampton area.
You will be leading a Data Science team to deliver machine learning and advanced analytics solutions that improve customer insight, drive commercial decision‑making and enable personalisation across a retail organisation.
You will be able to challenge approaches, raise standards, coach technical talent and influence senior stakeholders across Customer, Digital, CRM, Loyalty, Retail Media, Finance, and Technology.
Key
Responsibilities: Lead, coach and develop a high‑performing Data Science team.
Own and deliver the Data Science roadmap, prioritising work based on business value.
Oversee the development and deployment of machine learning models, including churn, customer lifetime value, forecasting, segmentation and recommendation.
Ensure solutions are scalable, robust, governed and production‑ready.
Partner with business and technology stakeholders to translate commercial challenges into data‑driven solutions.
Drive best practice in data science, model governance and technical delivery.
Deliver measurable business value through the effective use of data science.
Skills
Senior Data Science Manager - £100,000 in Southampton employer: Salt
Join a forward-thinking investment management platform in London, where innovation meets opportunity. As a Senior Business Analyst, you'll thrive in a collaborative work culture that values your expertise and encourages professional growth through continuous learning and development. Enjoy the flexibility of a hybrid working model while contributing to cutting-edge AI-driven investment solutions that make a real impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager - £100,000 in Southampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Salt!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Science Manager - £100,000 at Salt.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Salt.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Science Manager - £100,000 at Salt, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Science Manager - £100,000 in Southampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Salt, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Salt. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Salt
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Salt!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
