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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 thriving fintech environment.
- Qualifications: Strong background in statistics, team leadership, and commercial data insights.
- Other info: Exciting opportunity for career advancement in a fast-paced industry.
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 employer: Iwoca
Contact Detail:
Iwoca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science & Commercial Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space, especially those in data science. Attend industry events or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your data science projects and commercial analytics achievements. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss how you've led teams and aligned projects with business goals.
✨Tip Number 4
Don't forget to apply through our website! We have a streamlined application process that makes it easy for you to showcase your skills and experience directly to us.
We think you need these skills to ace Head of Data Science & Commercial Analytics
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 relevant leadership experience to show us you’re the perfect fit.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us about your passion for data science and how you've successfully commercialised insights in the past. Keep it engaging and relevant to the job description.
Showcase Your Team Development Skills: We want to see how you’ve developed teams in your previous roles. Share specific examples of how you’ve led teams to success and fostered a collaborative environment. This will help us understand your leadership style.
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 culture.
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 demonstrate your ability to lead teams effectively. Prepare examples of how you've developed team members and fostered collaboration. Highlight any successful projects where your leadership made a difference.
✨Align with Business Goals
Understand the company's mission and how data science fits into their overall strategy. Be prepared to discuss how you would ensure that data initiatives align with business objectives. This shows that you're not just a technical expert but also a strategic thinker.
✨Prepare for Model Lifecycle Questions
Expect questions about managing the lifecycle of models in production. Think about your experiences with model deployment, monitoring, and iteration. Being able to articulate this process will demonstrate your hands-on experience and understanding of practical applications.
