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- Tasks: Lead a dynamic data science team to deliver innovative ML and AI solutions.
- Company: Join Hiscox, a forward-thinking company committed to diversity and inclusion.
- Benefits: Enjoy hybrid working, competitive salary, bonus, and generous leave policies.
- Why this job: Make a real impact in a collaborative environment while mentoring future talent.
- Qualifications: Experience in machine learning, strong coding skills, and a passion for mentoring.
- Other info: Flexible work-life balance with excellent career growth opportunities.
The predicted salary is between 70000 - 90000 £ per year.
The Hiscox Data Team is transforming data maturity across the organisation to accelerate business growth and efficiency using Data, Analytics, and AI. The virtual team consists of a central function driving alignment, Business Unit teams identifying commercial value and providing execution capacity and technology providing for Data Engineering and ML Operations services. We aim to empower colleagues by improving data fluency and promote a data-driven, insight-led culture that supports informed, customer-centric decisions. Commercial focus, continuous improvement and product centric delivery is at the heart of everything we do.
Working within the Group Data Science team as our Lead Data Scientist, you will be responsible for providing the business with a highly capable data science and machine learning chapter. This important chapter will facilitate the successful delivery of new data analytics, ML and AI based solutions and provide insights and capabilities to support decision making across the organisation, using a combination of public and private data sources, models and cloud services. As part of our leadership team, you will lead and nurture our data science and machine learning team – ensuring we recruit, mentor, coach, train and retain talented members.
Responsibilities
- Experience in a range of machine learning techniques and an understanding of when each tool is best used.
- Strong Statistics capability.
- Familiarity with a wide range of generative AI tools and methodologies including prompt/context engineering, RAG and building agentic toolsets.
- Strong coding ability in python, with experience in other languages an advantage.
- Enthusiasm for developing and mentoring junior talent.
- Technical project leadership experience with experience of line management an advantage.
- Provide Data Science tooling for the chapter that allows for effective documentation of prior experiments (repeatability and reproducibility), cross-chapter collaboration and ability to experiment effectively with a choice of data science programming languages and use of notebooks where appropriate.
- A Prototype, fail rapidly and iterate mindset to enable successful delivery.
- Communicate change across the business to wider technical teams to gain insight and learning around data science solutions.
Diversity & Benefits
At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. Working life doesn’t always have to be in the office, so we have introduced hybrid working to encourage a healthy work life balance. This hybrid working model is set by the team rather than the business to enable you to manage your own personal work-life balance. We see it as the best of both worlds; structure and sociability on one hand, and independence and flexibility on the other.
Our benefits package includes a bonus, contributory pension, 25 days annual leave plus 2 Hiscox days and a 4 week paid sabbatical with every 5 years’ worth of service, private medical for all the family and much more. Work with amazing people and be part of a unique culture.
Lead Data Scientist employer: Hiscox
Contact Detail:
Hiscox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data science community. Attend meetups, webinars, or even just grab a coffee with someone in the field. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice explaining complex concepts in simple terms, as communication is key. Don’t forget to highlight your experience with mentoring and leading teams, as that’s a big plus for roles like Lead Data Scientist.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who are passionate about data. By applying directly, you’ll ensure your application gets the attention it deserves. Plus, you’ll be part of a culture that values diversity and innovation!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Scientist. Highlight your experience with machine learning techniques and coding in Python, as these are key for us. Don’t just list your skills; show how they relate to the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how you can contribute to our mission at Hiscox. Mention specific projects or experiences that demonstrate your leadership and mentoring abilities.
Showcase Your Projects: If you’ve worked on relevant data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that involve generative AI tools or innovative data solutions. Links to GitHub or personal portfolios can be a great addition!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hiscox
✨Know Your Machine Learning Techniques
Make sure you brush up on a range of machine learning techniques before the interview. Be ready to discuss when and why you'd use each tool, as this will show your depth of knowledge and practical experience.
✨Show Off Your Coding Skills
Since strong coding ability in Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges and be ready to explain your thought process.
✨Emphasise Your Leadership Experience
As a Lead Data Scientist, you'll need to lead and mentor a team. Be prepared to share examples of how you've successfully managed projects and developed junior talent in the past. This will highlight your leadership capabilities.
✨Communicate Effectively
Communication is key in this role, especially when conveying complex data science concepts to non-technical teams. Practice explaining your past projects in simple terms, focusing on the impact and insights gained from your work.