At a Glance
- Tasks: Lead a dynamic team of Data Scientists and build innovative AI solutions.
- Company: Join Hiscox, a forward-thinking company at the forefront of data science.
- Benefits: Competitive salary, career growth, and a supportive work culture.
- Other info: Collaborative environment with opportunities for innovation and personal development.
- Why this job: Be a pioneer in AI and data science while making a real impact.
- Qualifications: Experience in data science and a passion for leadership.
The predicted salary is between 60000 - 80000 £ per year.
Build a brilliant future with Hiscox.
Role Overview
The Lead Data Scientist is a crucial member of the extended RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable Data Science and Machine Learning chapter. This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases involving complex Data Analytics, Machine Learning, and AI Agent based solutions. You will co-lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&ILS strategic Value Streams. You are expected to be hands-on, actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both. It is essential that you and your entire chapter operate within the boundaries of the Group AI Governance Framework and maintain rigorous data governance standards. You will be accountable for this adherence.
Key Responsibilities
- Chapter Leadership & Talent Management
- Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers.
- Cultivate a collaborative, engaged, and fulfilled team culture.
- Ensure the chapter adheres to best practices in data science, AI, and complex analytics.
- Mentor and educate others in various data science techniques.
- Solution Delivery & ML Ops Excellence
- Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions.
- Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform.
- Empower the chapter to work effectively within autonomous squads.
- Work with Data Engineering and other teams to understand and contribute to the requirements and building of necessary data pipelines/products.
- Strategy, Governance & Innovation
- Continually work with key business leaders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage.
- Champion data and model governance, ensuring a mature understanding of data governance, lineage, and version control.
- Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning.
- Ensure clear and effective communication of data science solutions and outcomes across business layers.
Candidate Profile
The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. Main experience required includes:
- Deep Interest in Leadership: Demonstrated excellent traits in mentoring and coaching more junior team members.
- Technical Depth: Extensive hands-on experience in architecting, designing, and building complex ML models.
- ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models.
- AI and Data Governance: Mature understanding of AI and Data governance.
- Stakeholder Management: Experience in managing and driving collaboration with business unit leaders and external technology partners.
- Education: Bachelor's/Master's degree in a quantitative field or equivalent.
If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re & ILS.
Lead Data Scientist employer: Hiscox Insurance
Hiscox is an exceptional employer that prioritises the growth and development of its employees, particularly in the innovative field of Data Science and AI. Located in London, the company fosters a collaborative and high-performance culture, offering ample opportunities for mentorship and career progression while ensuring a supportive environment for new leaders. With a commitment to cutting-edge technology and rigorous data governance, Hiscox empowers its team members to make meaningful contributions to the business and the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨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 Hiscox Insurance!
✨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 Lead Data Scientist at Hiscox Insurance.
✨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 Hiscox Insurance.
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We think you need these skills to ace Lead Data Scientist
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 Hiscox Insurance, 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 Hiscox Insurance. 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 Hiscox Insurance
✨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 Hiscox Insurance!
✨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.
