At a Glance
- Tasks: Lead data science projects using AI and ML to drive business solutions.
- Company: Nomo Fintech, a cutting-edge cloud-based Fintech company in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team and mentor the next generation of data scientists.
- Why this job: Make a real impact by transforming data into actionable insights in the fintech space.
- Qualifications: 2-3 years of experience in data analytics, strong statistical and programming skills.
The predicted salary is between 70000 - 90000 £ per year.
Nomo Fintech, a cloud-based business-to-business Fintech company in Greater London, is seeking a Lead Data Scientist to spearhead data science initiatives. This role is pivotal in exploiting data-driven insights through advanced analytics, machine learning, and robust statistical methods to drive business solutions and optimize customer experiences.
The ideal candidate will have a strong statistical and programming background, with at least 2-3 years of relevant experience in financial services focusing on data analytics and a passion for mentoring.
Key responsibilities include:
- Developing data models
- Collaborating with stakeholders
- Presenting findings to influence business strategies
Lead Data Scientist - AI, ML & Data Strategy employer: Nomo Fintech
Nomo Fintech is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer ample opportunities for professional development and mentorship, particularly for those passionate about data science and analytics. Our commitment to leveraging cutting-edge technology and data-driven insights not only enhances customer experiences but also empowers our team members to make a meaningful impact in the fintech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - AI, ML & Data Strategy
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working at Nomo Fintech. A friendly chat can open doors and give you insights that might just help you land that Lead Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data models and analytics projects. When you get the chance to chat with hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your machine learning and statistical methods. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Nomo Fintech.
We think you need these skills to ace Lead Data Scientist - AI, ML & Data Strategy
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 analytics, machine learning, and any relevant projects you've worked on in financial services. We want to see how your skills align with what we're looking for!
Showcase Your Passion:In your cover letter, let us know why you're passionate about data science and mentoring others. Share specific examples of how you've influenced business strategies or optimised customer experiences in your previous roles. We love seeing that enthusiasm!
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make your achievements stand out. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Nomo Fintech!
How to prepare for a job interview at Nomo Fintech
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science techniques relevant to the role. Brush up on your knowledge of machine learning algorithms, statistical methods, and data modelling. Be ready to discuss how you've applied these in previous roles, especially in financial services.
✨Showcase Your Mentoring Skills
Since the role involves mentoring, think of examples where you've guided others in their data journey. Prepare to share how you’ve helped colleagues or teams improve their skills and understanding of data analytics. This will show your leadership potential.
✨Prepare for Stakeholder Collaboration
Nomo Fintech values collaboration, so be ready to discuss how you’ve worked with different stakeholders in the past. Think about specific projects where you’ve had to communicate complex data insights to non-technical audiences. This will demonstrate your ability to influence business strategies.
✨Practice Presenting Your Findings
You’ll need to present your findings clearly and effectively. Practice summarising complex data insights into concise, impactful presentations. Use visuals if possible, and be prepared to answer questions about your conclusions and recommendations.
