At a Glance
- Tasks: Lead the development of advanced analytics and predictive models for business growth.
- Company: Join a leading global insurer transforming data and analytics.
- Benefits: Competitive pay up to £1,000/day and a dynamic work environment.
- Other info: Opportunity to mentor teams and drive organisational change.
- Why this job: Make a real impact on strategic decisions and modernise data science capabilities.
- Qualifications: Proven experience in data science leadership and strong Python skills.
Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment.
The Role
We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency. You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives.
Key Responsibilities
- Lead the design, development, and deployment of advanced analytical and machine learning models.
- Partner with business and technology stakeholders to translate complex challenges into data-driven solutions.
- Drive the modernisation of data science practices, tools, and methodologies.
- Oversee model performance, governance, documentation, and regulatory compliance.
- Manage and mentor data scientists while collaborating with offshore analytics teams.
- Present insights and recommendations to senior business audiences.
Essential Experience
- Proven experience leading data science projects in large, complex organisations.
- Strong Python and/or HX modelling experience.
- Track record of delivering models that drive measurable commercial outcomes.
- Expertise in predictive modelling, machine learning, and statistical analysis.
- Experience working with large-scale structured and unstructured datasets.
- Strong stakeholder management and communication skills.
Desirable
- Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims.
- Experience with Spark, Hadoop, NoSQL, or modern big data platforms.
- Agile delivery experience and collaborative software development practices.
- Experience leading analytics teams and driving organisational change.
Data Science Lead - HX Insurance Model employer: Robert Walters
As a leading global insurer, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to data and analytics transformation provides employees with unique opportunities for professional growth and development, while our supportive culture encourages teamwork and the sharing of ideas. Join us to make a meaningful impact in the insurance industry and enjoy competitive compensation along with a dynamic workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Lead - HX Insurance Model
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Robert Walters before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data Science Lead - HX Insurance Model
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Robert Walters, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Robert Walters, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Robert Walters’s attention and show the tangible impact of your work.
How to prepare for a job interview at Robert Walters
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Robert Walters.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Robert Walters.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Robert Walters.
