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- Tasks: Lead a team of data scientists and manage the technical roadmap for risk analytics.
- Company: Top financial analytics firm in the UK with a focus on innovation.
- Benefits: Hybrid work, continuous learning, and comprehensive healthcare benefits.
- Why this job: Shape the future of risk analytics while mentoring a talented team.
- Qualifications: Strong background in data quality, feature engineering, and NLP with Python and R experience.
- Other info: Exciting opportunities for professional growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading financial analytics firm in the UK is seeking a Data Scientist Lead to manage the technical roadmap and mentor a team of data scientists. This role requires a strong background in data quality standards, feature engineering, and NLP. The ideal candidate will have substantial experience in Python, R, and big data analysis. This position offers a hybrid work environment, continuous learning opportunities, and comprehensive healthcare benefits.
Data Science Lead: Risk Analytics & AI (Hybrid UK) in London employer: Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group
Contact Detail:
Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead: Risk Analytics & AI (Hybrid UK) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in risk analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in Python, R, and big data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Ace the interview! Brush up on your knowledge of data quality standards and feature engineering. Be ready to discuss how you've applied these concepts in real-world scenarios during your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Science Lead: Risk Analytics & AI (Hybrid UK) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data quality standards, feature engineering, and NLP. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and R expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Science Lead position. Share specific examples of your past work and how it relates to managing a team and technical roadmaps.
Showcase Your Leadership Skills: Since this role involves mentoring a team, make sure to highlight any previous leadership or mentoring experiences. We love to see how you’ve helped others grow in their careers, so share those stories!
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 Fitch Group, Inc., Fitch Ratings, Inc., Fitch Solutions Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data quality standards and feature engineering. Brush up on your knowledge of NLP techniques, as these will likely come up during the interview. Being able to discuss specific projects where you've applied these skills will really impress.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and R. You might be asked to solve a problem on the spot or discuss your approach to big data analysis. Practising coding challenges beforehand can help you feel more confident.
✨Highlight Your Leadership Experience
Since this role involves mentoring a team, be ready to share examples of how you've led projects or guided junior data scientists. Discuss your leadership style and how you foster a collaborative environment, as this will show you’re a great fit for the team.
✨Embrace the Hybrid Work Culture
Familiarise yourself with the dynamics of hybrid work environments. Be prepared to discuss how you manage remote teams and maintain productivity. Showing that you can adapt to different working conditions will demonstrate your flexibility and readiness for the role.
