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- Tasks: Lead data science teams to drive strategic decision-making and model management.
- Company: Dynamic financial technology company based in London.
- Benefits: Attractive salary package and comprehensive benefits.
- Why this job: Shape the future of data science in a fast-paced fintech environment.
- Qualifications: Strong background in statistics, team development, and commercialising insights.
- Other info: Opportunity for impactful leadership and career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A financial technology company in London seeks a Head of Data Science to lead various teams in guiding decision-making across multiple domains. The role involves strategic leadership in data science initiatives, managing the lifecycle of models in production, and ensuring alignment with business goals.
The ideal candidate will have:
- a strong background in probability and statistics,
- experience in team development,
- a proven track record in commercializing data science insights.
An attractive salary package and benefits are offered.
Head of Data Science & Commercial Analytics in London employer: Iwoca
Contact Detail:
Iwoca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & Commercial Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those in data science. Attend meetups or webinars to connect with potential colleagues and learn about opportunities that might not be advertised.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your data science projects and commercial analytics achievements. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on key concepts in probability and statistics. Be ready to discuss how you've applied these skills in real-world scenarios, especially in leading teams and driving business decisions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined process that makes it easy for you to submit your application and get noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Data Science & Commercial Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Data Science role. Highlight your background in probability, statistics, and any leadership experience you've had in data science initiatives.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've successfully commercialised data science insights and led teams to achieve business goals.
Showcase Your Achievements: Quantify your successes! Whether it’s improving model performance or leading a successful project, use numbers to demonstrate your impact. This will help us see the value you can bring to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Iwoca
✨Know Your Data Science Stuff
Make sure you brush up on your probability and statistics knowledge. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in commercial settings. This will show that you can not only understand the data but also leverage it for business decisions.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to lead teams effectively. Prepare examples of how you've developed teams in the past, managed conflicts, or driven projects to success. Highlighting your leadership style and how it aligns with the company's goals will set you apart.
✨Align with Business Goals
Understand the company's mission and how data science fits into their strategy. Be ready to discuss how you've previously aligned data initiatives with business objectives. This shows that you’re not just a data expert, but also a strategic thinker who can drive results.
✨Prepare for Technical Questions
Expect some technical questions about model lifecycle management and analytics tools. Brush up on the latest trends and technologies in data science. Being able to discuss your hands-on experience with these tools will demonstrate your expertise and readiness for the role.
