At a Glance
- Tasks: Lead a team to develop advanced analytics and predictive models that drive business decisions.
- Company: Join a high-performing Strategic Analytics team in the insurance sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to mentor and innovate within the analytics function.
- Why this job: Make a real impact by shaping analytics that enhance profitability and support growth.
- Qualifications: Strong background in data science, preferably in insurance, with experience in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
Location: London Hybrid (2/3 days in the office) Permanent
You must have an Insurance/London Markets background.
We’re supporting the search for a Data Science Manager to join a high-performing Strategic Analytics team, helping shape how advanced analytics drives commercial decision-making across the business. This is an opportunity to take on a visible leadership role where you will combine technical data science expertise, stakeholder engagement, and team leadership to deliver predictive models and analytical insight that create real business impact.
Working closely with senior stakeholders, particularly across claims and wider business functions, you will identify opportunities where analytics can improve profitability, enhance decision-making, and support growth. You will also lead and develop data scientists, helping the team build innovative, best-in-class models and tools that provide a genuine competitive advantage.
The Opportunity
- Lead the development of advanced analytics and predictive modelling solutions that address real business challenges.
- Partner with senior stakeholders to understand priorities, shape analytical approaches, and translate insight into action.
- Oversee the design and deployment of models using a range of techniques including predictive modelling, machine learning, GLMs, GBMs, and NLP.
- Guide and mentor a growing team of data scientists and predictive modellers, supporting capability development and best practice.
- Explore internal and external data sources to generate insight and improve commercial performance.
- Help drive innovation across the analytics function by introducing new tools, techniques, and repeatable ways of working.
About You
- Strong experience in advanced analytics or data science, ideally with a background in insurance.
- Proven ability to build and implement statistical and predictive models using tools such as Python and SQL.
- Experience with machine learning techniques, data mining, and ideally NLP.
- Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Comfortable working with ambiguity, solving complex problems, and managing multiple priorities.
- Experience leading, mentoring, or developing other data scientists would be highly beneficial.
- Exposure to cloud-based platforms such as Databricks, Snowflake, Azure, or visualisation tools such as Power BI would be advantageous.
Data Science Manager – Strategic Analytics - Permanent in Slough employer: JSS
Join a dynamic and innovative team in London as a Data Science Manager, where you will lead the charge in leveraging advanced analytics to drive strategic decision-making within the insurance sector. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee development ensures you have ample opportunities for growth and mentorship. With a focus on cutting-edge tools and techniques, you'll be at the forefront of transforming data into actionable insights that enhance profitability and support business expansion.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager – Strategic Analytics - Permanent in Slough
✨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 JSS!
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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 JSS.
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When you find a suitable opening like Data Science Manager – Strategic Analytics - Permanent at JSS, 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 Data Science Manager – Strategic Analytics - Permanent in Slough
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 JSS, 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 JSS. 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 JSS
✨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 JSS!
✨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.
