At a Glance
- Tasks: Lead a dynamic data science team and drive innovative analytics projects.
- Company: Join a global Fintech/InsurTech leader shaping the future of insurance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
- Why this job: Make a real impact by leveraging data to optimise insurance products globally.
- Qualifications: Experience in data science, team leadership, and strong communication skills required.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the Fintech and InsurTech sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. 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 do and set you apart from the crowd.
✨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 think of examples where you've led a team or tackled complex data challenges. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Head of Data Science / Lead Data Scientist in London
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 passionate about data science and how your experience aligns with our needs. Be sure to mention your ability to engage with stakeholders and present findings clearly.
Showcase Your Technical Skills:We want to see your proficiency in R, Python, and SQL. Include specific examples of how you've used these tools in past projects, especially in areas like text mining or machine learning. This will help us understand your technical capabilities.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Comtecs Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in R, Python, and SQL. Be ready to discuss your experience with predictive modelling and statistical analysis, as these will be key topics during the interview.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've successfully led a team in the past. Highlight your hands-on approach and how you balance management duties with technical work.
✨Engage with Stakeholders
Think about how you’ve interacted with stakeholders in previous roles. Prepare to discuss how you’ve identified growth areas and optimised performance through data insights. This will show your ability to communicate effectively with senior-level stakeholders.
✨Prepare for Technical Questions
Expect some technical questions related to data extraction, manipulation, and analysis techniques. Brush up on your knowledge of text mining and machine learning, even if it’s not essential, as it could set you apart from other candidates.
