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- Tasks: Lead data-driven projects in financial services, tackling risk and fraud challenges.
- Company: Data Idols, a forward-thinking company in the financial sector.
- Benefits: Competitive salary, bonuses, and a supportive hybrid work environment.
- Other info: Great development opportunities in a collaborative team setting.
- Why this job: Make a real impact in financial crime prevention while advancing your career.
- Qualifications: Strong data science background and experience in financial services required.
The predicted salary is between 90000 - 120000 £ per year.
Data Idols is looking for a Lead Data Scientist to join their London team, focusing on financial services, risk, and fraud. In this hybrid role, you'll lead projects and collaborate with stakeholders to deliver data-driven solutions.
Ideal candidates will have a strong background in data science and experience in financial services. Competitive salary between £90,000 - £120,000 plus bonus and benefits. Development opportunities and a supportive work environment are also offered.
Lead Data Scientist - Financial Crime (Hybrid, London) employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Financial Crime (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those related to financial crime or risk. This will give you an edge and show potential employers what you're capable of.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or using online platforms. Focus on explaining your thought process clearly, especially when discussing complex data-driven solutions.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a chance to showcase your enthusiasm for joining our team at Data Idols.
We think you need these skills to ace Lead Data Scientist - Financial Crime (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and financial services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial crime and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting data-driven projects, especially in risk or fraud, make sure to mention them. We love seeing real-world applications of your skills, so share your successes with us!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Data Idols
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially as they relate to financial services. Be ready to discuss your previous projects and how you've used data to tackle issues like risk and fraud.
✨Understand the Financial Landscape
Familiarise yourself with current trends in financial crime and risk management. Being able to speak knowledgeably about these topics will show that you're not just a data whiz but also understand the industry you're stepping into.
✨Prepare for Stakeholder Collaboration
Since this role involves working closely with stakeholders, think of examples where you've successfully collaborated in the past. Be ready to explain how you communicate complex data insights to non-technical audiences.
✨Show Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your leadership abilities. Prepare to discuss how you've led teams or projects before, focusing on your approach to mentoring others and driving results.