Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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) 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)
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Data Science Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving risk analytics and AI. We want to demonstrate our expertise in Python, R, and big data analysis to stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts in data quality standards and feature engineering. We should practice common interview questions and even do mock interviews to boost our confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications easily and stay updated on new opportunities.
We think you need these skills to ace Data Science Lead: Risk Analytics & AI (Hybrid UK)
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 passionate about risk analytics and how you can lead our team of data scientists. Let us know what makes you the perfect fit for this hybrid role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially in big data analysis. Include links or descriptions that demonstrate your impact.
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’re considered for this exciting opportunity. Plus, it’s super easy!
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 them.
✨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 or discussing past projects can help you articulate your thought process clearly.
✨Highlight Your Leadership Experience
Since this role involves mentoring a team, be ready to share examples of how you've led teams in the past. Discuss your approach to managing technical roadmaps and how you’ve supported the growth of other data scientists. This will show that you’re not just technically skilled but also a great leader.
✨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 understand the balance between in-office and remote work will resonate well with them.
