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- Tasks: Lead data projects tackling financial crime and fraud in a consultancy setting.
- Company: Join Data Science Festival, a leader in innovative data solutions.
- Benefits: Competitive salary, hybrid work, and continuous training opportunities.
- Other info: Perfect for those seeking a dynamic and impactful career.
- Why this job: Make a real difference in combating financial crime with your data expertise.
- Qualifications: Experience in data science and strong analytical skills required.
The predicted salary is between 90000 - 120000 £ per year.
Data Science Festival is looking for a Lead Data Scientist to join their team in London. This role involves leading data-focused projects in a consultancy environment, particularly in financial crime and fraud. You will engage with stakeholders, analyze large datasets, and provide actionable insights.
The position offers a competitive salary of £90,000 – £120,000, hybrid working (2-3 days per week), and opportunities for ongoing training and development. Ideal for those aiming to work in a consultative role.
Lead Data Scientist, Financial Crime – Hybrid (London) 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 – Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Data Science Festival. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your past projects, especially those related to financial crime and fraud. This will help you stand out and demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data analysis skills and problem-solving techniques. We recommend mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
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 is tailored to the Lead Data Scientist role. Highlight your experience in data science, especially in financial crime and fraud. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific projects you've worked on that demonstrate your ability to lead data-focused initiatives. We love seeing real examples of how you've tackled complex problems and delivered actionable insights.
Engage with Stakeholders: In your application, mention any experience you have engaging with stakeholders. This role involves collaboration, so showing us that you can communicate effectively with different teams will set you apart.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Data Science Festival
✨Know Your Data Inside Out
As a Lead Data Scientist, you'll be expected to have a deep understanding of data analysis techniques and tools. Brush up on your knowledge of statistical methods, machine learning algorithms, and data visualisation tools. Be ready to discuss specific projects where you've applied these skills, especially in the context of financial crime.
✨Engage with Stakeholders
In a consultancy role, communication is key. Prepare to demonstrate how you've successfully engaged with stakeholders in previous roles. Think about examples where you translated complex data insights into actionable recommendations for non-technical audiences. This will show your ability to bridge the gap between data science and business needs.
✨Showcase Your Problem-Solving Skills
Expect to face scenario-based questions that assess your problem-solving abilities. Prepare by thinking through past challenges you've encountered in data projects, particularly those related to fraud detection or financial crime. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Stay Updated on Industry Trends
The field of financial crime is constantly evolving, so it's crucial to stay informed about the latest trends and technologies. Research recent developments in data science applications within financial crime and be prepared to discuss how these could impact the role. This shows your passion for the field and your commitment to continuous learning.