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- Tasks: Lead a team in developing scalable ML models and ensure high data quality.
- Company: Leading data analytics firm based in London with a focus on innovation.
- Benefits: Hybrid work environment, commitment to learning, and employee wellbeing.
- Why this job: Shape the future of risk analytics while mentoring a talented team.
- Qualifications: Experience in Python, AI techniques, and strong communication skills.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A leading data analytics firm based in London is seeking a Data Scientist Lead responsible for overseeing the technical roadmap and mentoring a growing team. The role involves developing scalable ML models, collaborating with various experts, and ensuring high data quality standards.
Candidates should have substantial experience with Python and AI techniques, and a strong record of effective communication and collaboration.
This position offers a hybrid work environment with a strong commitment to learning and employee wellbeing.
Data Science Lead: Risk Analytics & Strategy in London employer: Fitch Group
Contact Detail:
Fitch Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead: Risk Analytics & Strategy in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML models and projects. This is your chance to demonstrate your expertise in Python and AI techniques, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to boost your confidence and communication skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Science Lead: Risk Analytics & Strategy in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and AI techniques in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with overseeing technical roadmaps and mentoring teams, as this is key for us.
Communicate Clearly: Effective communication is crucial for this position. When writing your application, keep it clear and concise. We appreciate straightforwardness and want to see how you convey complex ideas simply.
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 in our hybrid work environment!
How to prepare for a job interview at Fitch Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any AI techniques relevant to the role. Be prepared to discuss specific projects where you've developed scalable ML models, as this will show your hands-on experience and technical expertise.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, think of examples where you've successfully led or guided others. Highlight your communication style and how you foster collaboration within a team, as this will demonstrate your fit for the leadership aspect of the position.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in risk analytics. Prepare to discuss how you would approach certain challenges or scenarios, focusing on your analytical thinking and decision-making processes.
✨Emphasise Continuous Learning
Given the company's commitment to learning and employee wellbeing, be ready to talk about how you stay updated with industry trends and technologies. Share any courses, workshops, or personal projects that showcase your dedication to professional growth.
