At a Glance
- Tasks: Lead data projects tackling financial crime and fraud with hands-on analysis.
- Company: Specialist consultancy in financial services with a collaborative culture.
- Benefits: Competitive salary, hybrid working, ongoing training, and clear progression opportunities.
- Other info: Join a supportive team and tackle diverse challenges across various clients.
- Why this job: Make a real impact on risk management while advancing your career in data science.
- Qualifications: Strong background in data science and experience in financial services or fraud domains.
The predicted salary is between 95000 - 120000 £ per year.
Salary: £95,000 – £120,000 + bonus + benefits
Location: London (Hybrid – 2-3 days per week)
We are currently looking for a Head of Data Science 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 Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Head of Data Science 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 (£95,000 – £120,000) + 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
If you would like to be considered for the Head of Data Science Role, please apply below with your CV.
Head of Data Science – FinCrime employer: Data Science Festival
Join a dynamic and innovative consultancy in the heart of London, where you will be part of a high-performing team dedicated to tackling complex challenges in financial crime and fraud. With a strong emphasis on employee growth, this role offers ongoing training, clear progression pathways, and the opportunity to influence data-driven strategies across diverse clients. Enjoy a supportive work culture that values collaboration and provides a hybrid working model, allowing you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science – FinCrime
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects or case studies that highlight your data science skills, especially those related to financial crime. This will give you an edge when discussing your capabilities.
✨Tailor Your Approach
When reaching out to potential employers, make sure to tailor your message to their specific needs. Mention how your background in data science aligns with their goals in tackling financial crime. Personalisation goes a long way!
✨Apply Through Our Website
We’ve got a fantastic opportunity waiting for you! Make sure to apply through our website for the Head of Data Science role. It’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Head of Data Science – FinCrime
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Head of Data Science role. Highlight your experience in data science, analytics, and any relevant work in financial services or fraud-related domains. We want to see how your skills align with what we're looking for!
Showcase Your Projects:When writing your application, don’t forget to showcase specific projects you've led or contributed to. We love seeing examples of how you've tackled complex challenges, especially in risk and fraud. This will help us understand your hands-on experience!
Communicate Clearly:Effective communication is key in this role, so make sure your application reflects that. Use clear and concise language to describe your achievements and how you’ve engaged with stakeholders. We’re looking for someone who can translate data insights into actionable recommendations!
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and it helps us keep track of all applications. Plus, we can’t wait to see what you bring to the table!
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, think about examples where you've successfully communicated complex data insights to non-technical audiences. Show them you can translate data into actionable recommendations.
✨Show Your Leadership Skills
As a Head of Data Science, you'll be leading projects and supporting junior team members. Prepare to share your experiences in leading teams or projects, and how you’ve contributed to their success.
✨Be Ready for Scenario Questions
Expect questions that put you in hypothetical situations related to fraud detection or risk management. Think through your problem-solving process and be ready to explain how you would approach these challenges.
