At a Glance
- Tasks: Lead a dynamic data science team and drive innovative projects in Fintech/InsurTech.
- Company: Join a global leader in Fintech/InsurTech with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Engage with senior stakeholders and work with large datasets for advanced analytics.
- Why this job: Make a real impact by leveraging data to optimise insurance products globally.
- Qualifications: Experience in data science, team leadership, and proficiency in R, Python, and SQL.
The predicted salary is between 80000 - 100000 £ per year.
The Head of Data Science / Lead Data Scientist will join a global Fintech / InsurTech company. This role requires a hands‑on capacity in Lead Data Programming, Statistical / Data Modelling, combined with line management duties for a team of 3 Data Scientists. You will be instrumental in helping insurance product teams understand their data and drive output across multiple products.
Responsibilities
- Lead the data science team from a hands‑on line management perspective.
- Be heavily involved throughout all parts of the data science project life cycle from design and architecture through programming and data engineering (data modelling, statistical data analytics, predictive analytics, ETL etc).
- Build predictive models and analytic solutions to support the underwriting function on a global basis.
- Engage with multiple stakeholders including underwriters, insurance product line managers and actuaries (pricing) to both identify profitable growth areas and optimize portfolio performance.
- Lead the extraction and manipulation of data using data management techniques and tools from both internal and external sources.
- Undertake text mining and data mining techniques.
- Perform statistical analysis and multivariate procedures using Data Science programming methods and tools including R, Python, SAS, SQL.
- Present findings to senior level stakeholders and then work to develop data models and solutions into production across multiple departments.
- Work with large data sets across multiple sources from within the business and its subsidiaries to develop advanced data analysis techniques and customised modelling solutions.
- Leverage Big Data from a data science perspective and feed these analytical capabilities into the ongoing development of systems for the business worldwide.
Requirements
- Demonstrable experience leading and managing a small team while remaining a hands‑on Data Scientist.
- Comfortable with contemporary data science languages including R, Python, and SQL.
- In-depth knowledge of data modelling, predictive analytics, and multivariate procedures.
- Experience in text mining, machine learning, natural language processing, or AI is highly beneficial but non‑essential.
- Comfortable engaging with senior level stakeholders and presenting to them to develop solutions.
- Experience gained within the Insurance / Reinsurance sector is highly desirable, but not essential; experience gained with Financial Services or related sectors is preferable.
- Degree level education is sought.
- Excellent communication skills are a pre‑requisite.
Head of Data Science / Lead Data Scientist employer: Comtecs Group
Join a leading global Fintech/InsurTech company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the insurance landscape. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead a talented team of Data Scientists in a supportive environment. Located in a vibrant city, the company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science / Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the Fintech and InsurTech sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving predictive models or statistical analysis. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with R, Python, and SQL, and how you've led teams in the past. Practice explaining complex concepts in simple terms – it’ll impress those senior stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Head of Data Science / Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Data Science. Highlight your hands-on experience with data programming and team management, and don’t forget to mention any relevant projects that showcase your skills in predictive analytics and data modelling.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for this role. Share specific examples of how you've led data science projects and engaged with stakeholders, and show us your passion for the Fintech/InsurTech space.
Showcase Your Technical Skills:We want to see your expertise in action! Be sure to include your proficiency in R, Python, and SQL in your application. If you’ve worked with big data or have experience in text mining, make that clear too – we love seeing those skills!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and culture while you’re at it.
How to prepare for a job interview at Comtecs Group
✨Know Your Data Science Inside Out
Make sure you brush up on your data science skills, especially in R, Python, and SQL. Be ready to discuss your hands-on experience with data modelling and predictive analytics, as well as any projects you've led. This will show that you're not just a manager but also a capable Data Scientist.
✨Prepare for Stakeholder Engagement
Since you'll be engaging with senior stakeholders, practice how you present complex data findings in a clear and concise manner. Think of examples where you've successfully communicated insights to non-technical audiences, as this will demonstrate your excellent communication skills.
✨Showcase Your Leadership Style
Be prepared to talk about your leadership approach when managing a small team. Share specific examples of how you've supported your team members' growth and how you balance hands-on work with management duties. This will highlight your ability to lead while still being involved in the technical side.
✨Understand the Industry Context
Familiarise yourself with the Fintech and InsurTech landscape, especially how data science is applied within these sectors. Being able to discuss industry trends and challenges will show that you're not only technically proficient but also understand the business context of your role.
