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For Companies At a Glance
- Tasks: Lead data projects tackling financial crime and fraud with innovative solutions.
- Company: Dynamic consultancy in the financial services sector, fostering collaboration.
- Benefits: Competitive salary, hybrid work, ongoing training, and clear career progression.
- Other info: Join a supportive team and tackle diverse challenges across various clients.
- Why this job: Make a real impact on financial crime while advancing your data science career.
- Qualifications: Strong data background, experience in financial services, and stakeholder communication skills.
The predicted salary is between 90000 - 120000 £ per year.
We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime.
The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges.
The Opportunity
This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for:
- Leading data-focused projects across financial crime and fraud
- Analysing large datasets to identify trends, risks, and opportunities
- Supporting the design and improvement of monitoring and detection processes
- Working closely with business and technical stakeholders to deliver solutions
- Translating data insights into clear, actionable recommendations
- Supporting junior team members and contributing to overall project delivery
- Contributing to broader initiatives across the business where relevant
What sets this apart:
- A mix of data science, analytics, and stakeholder engagement
- Exposure to a variety of clients and challenges
- Opportunity to influence how data is used to manage risk
- A pathway into a more strategic and advisory-led role
What’s in it for you?
- Competitive salary (£85,000 – £110,000) + bonus
- Hybrid working
- Ongoing training and development
- Clear progression opportunities
- Exposure to a range of projects and clients
- Supportive and collaborative team environment
Skills and Experience
- Strong background in data, analytics, or data science
- Experience working within financial services, risk, or fraud-related domains
- Ability to work with stakeholders and communicate insights effectively
- Experience working with modern data tools and technologies
Lead Data Scientist – Financial Crime employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist – Financial Crime
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector, especially those who work in data science or consulting. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those related to financial crime or fraud. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors, focusing on how you’d tackle real-world problems in financial crime. This will boost your confidence and help you articulate your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Scientist – Financial Crime
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Scientist. Highlight your experience in financial crime, risk analysis, and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in the financial sector and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Analytical Skills: In your application, don’t just list your skills; demonstrate them! Include examples of how you've analysed large datasets or solved complex problems in previous roles. We’re keen to see your analytical prowess in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Data Science Festival
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in the context of financial crime. Be ready to discuss your experience with large datasets and how you've identified trends or risks in previous roles.
✨Engage with Stakeholders
Since this role involves a lot of stakeholder engagement, practice how you would communicate complex data insights in a clear and actionable way. Think of examples where you've successfully collaborated with business and technical teams.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll be expected to guide projects and support junior team members. Prepare to share specific instances where you've led a project or mentored others, highlighting your ability to drive results.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in financial crime and fraud detection. Being able to discuss current challenges and innovations in the field will show that you're not just knowledgeable but also passionate about the industry.