At a Glance
- Tasks: Lead a team of Data Scientists and drive innovative data solutions in Fintech.
- Company: Join Comtecs Group, a dynamic player in the global Fintech/InsurTech space.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting opportunity to work in a collaborative and innovative environment.
- Why this job: Make a real impact by shaping data strategies in a fast-paced industry.
- Qualifications: Proficient in R, Python, SQL, with strong leadership and communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Comtecs Group is looking for a Head of Data Science in Greater London who will lead a team of Data Scientists in a global Fintech/InsurTech environment. The role involves hands-on data programming and statistical modeling while also managing team operations.
The ideal candidate should be proficient in data science languages such as R, Python, and SQL and have experience in predictive analytics and team leadership. Excellent communication and stakeholder engagement skills are essential.
Head of Data Science & ML — Global Fintech employer: Comtecs Group
Comtecs Group is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and collaboration within a global Fintech environment. Our commitment to work-life balance and a supportive team atmosphere makes Comtecs Group a rewarding place to advance your career in data science and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & ML — Global Fintech
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and insurtech space. Attend industry meetups or webinars to meet potential employers and showcase your expertise in data science.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on data programming and statistical modelling projects. Use platforms like GitHub to share your code and demonstrate your proficiency in R, Python, and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as you'll need to engage with stakeholders effectively in this role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Head of Data Science & ML — Global Fintech
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in data science languages like R, Python, and SQL. We want to see how your technical skills align with the role, so don’t hold back!
Talk About Your Experience:Share specific examples of your hands-on data programming and statistical modelling experience. We love seeing how you've tackled real-world problems in predictive analytics.
Leadership Matters:Since this role involves managing a team, let us know about your leadership style and any previous experience you have in guiding teams. We’re keen to understand how you engage and motivate others.
Engage with Us:Don’t forget to showcase your communication and stakeholder engagement skills. We value clear communication, so make sure your application reflects that. And remember, apply through our website for the best chance!
How to prepare for a job interview at Comtecs Group
✨Know Your Data Science Tools
Make sure you brush up on your skills in R, Python, and SQL before the interview. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Experience
Prepare examples that highlight your experience in leading a team. Think about how you’ve managed team dynamics, resolved conflicts, or mentored junior data scientists. This will demonstrate your capability to lead in a global Fintech environment.
✨Communicate Clearly and Effectively
Since excellent communication is key for this role, practice explaining complex data concepts in simple terms. You might be asked to present your findings or strategies, so clarity and engagement are crucial.
✨Engage with Stakeholders
Be prepared to discuss how you’ve engaged with stakeholders in the past. Think of examples where you’ve gathered requirements or presented insights that influenced decision-making. This shows you understand the importance of collaboration in a Fintech setting.
