At a Glance
- Tasks: Lead data projects tackling financial crime and fraud with cutting-edge analytics.
- Company: Dynamic consultancy in the financial services sector with a collaborative culture.
- 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 solutions while advancing your career.
- Qualifications: Strong background in data science and experience in financial services or risk.
The predicted salary is between 95000 - 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 (£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
Lead Data Scientist, Financial Crime – Hybrid London employer: Data Idols
Join a forward-thinking SaaS organisation that prioritises technology and innovation, offering a dynamic work culture where your contributions as a Principal Software Architect will directly influence the company's success. With a strong emphasis on professional development, hybrid working options, and a supportive environment for mentoring and collaboration, this role provides an excellent opportunity to grow your career while making a meaningful impact in the tech industry. Enjoy competitive benefits including life assurance, holiday trading schemes, and retail discounts, all while working in a location that fosters creativity and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Financial Crime – Hybrid London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Data Idols.
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We think you need these skills to ace Lead Data Scientist, Financial Crime – Hybrid London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Data Idols, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Data Idols. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Data Idols
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Data Idols!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
