At a Glance
- Tasks: Lead innovative data science projects and develop machine learning models to enhance customer experiences.
- Company: Dynamic company focused on leveraging data for impactful solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a diverse team in a fast-paced environment that values creativity and collaboration.
- Why this job: Make a real difference by driving data innovation and mentoring a talented team.
- Qualifications: Strong analytical skills and hands-on experience with machine learning frameworks.
The predicted salary is between 70000 - 90000 £ per year.
You will be responsible for all machine learning and statistical models across the company, with applications in credit decisioning, fraud detection, customer engagement and operations strategy.
You will drive innovation using new data sources for the benefit of our customers and business. Reporting to our Head of Data & Analytics, you will define the roadmap and priorities for the Data Science Team in alignment with the company strategy.
Lead and coordinate the cross-functional efforts to deliver data science related projects ensuring a high standard of quality and governance of the models and data products. You will also be passionate about furthering our competitive advantage in data science by leading new R&D into our data science methods and technology stack and will empower the team to develop their capabilities.
You Are
- Passionate about innovative data and machine learning applications to drive positive outcomes for our customers and business.
- Excited by driving many exciting data projects at both a strategic and tactical level.
- A great mentor to a team of talented data scientists and the broader analytics community.
You Will Have
- Strong analytical and problem solving skills.
- Hands on experience with the PyData tech stack and mainstream machine learning frameworks.
- In-depth knowledge of ML algorithms from linear models to deep learning.
- Extensive knowledge of the full ML development lifecycle including: experiment design, feature engineering, HPO, validation, deployment and monitoring.
- Extensive experience of statistical analytics, data visualisation and storytelling.
- Experience of managing data scientists and leading ML projects into production.
- Excellent communication and collaboration skills to partner with product owners and business heads.
- Hands on experience of working with cross functional teams.
It Would Be Great If You Also Had
- Experience with Cloud services (ideally AWS) for data scientists.
- Knowledge of microservice architecture and use of CI/CD pipelines for the deployment of data science products on real-time platform.
- Knowledge in survival analysis, causal inference and explainable AI.
To Thrive Here, You’ll Need To
- Champion our customers. Whatever your role, you’ll be close to our customers. We care passionately about doing the best for them.
- Help us make fearless choices. Our environment is fast-paced, agile and open. You’ll solve interesting and challenging problems, and be trusted and empowered to bring your ideas to life.
- Walk the talk. Like us, you’ll be honest, stick to your promises and face the tough moments head-on.
- Win smarter. You’ll be always on the lookout for a better way of doing things, going beyond ‘good enough’ and welcoming different points of view.
- Be in it together. You’ll join an ambitious, diverse and all-round approachable team with a mix of ideas and talents who inspire each other to be better every day.
Lead Data Scientist in London employer: Zopa Bank
As a Lead Data Scientist at our company, you will thrive in a dynamic and innovative environment that prioritises customer-centric solutions and fosters a culture of collaboration and mentorship. We offer extensive opportunities for professional growth, empowering you to lead cutting-edge data science projects while working alongside a diverse team of talented individuals. Located in a vibrant area, our workplace is designed to inspire creativity and drive impactful results, making us an exceptional employer for those passionate about advancing their careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Use platforms like GitHub to share your code and visualisations. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past projects in detail, especially how you tackled challenges and drove innovation. Remember, it’s all about showing your passion and problem-solving skills!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows your genuine interest in the role and helps us keep track of your application. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Data Scientist role. Highlight your hands-on experience with the PyData tech stack and any relevant machine learning projects you've led.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can drive innovation at StudySmarter. Share specific examples of how you've tackled challenges in previous roles.
Showcase Your Problem-Solving Skills:In your application, emphasise your analytical and problem-solving abilities. We want to see how you've approached complex data challenges and the impact of your solutions on previous projects.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.
How to prepare for a job interview at Zopa Bank
✨Know Your Tech Stack
Make sure you’re well-versed in the PyData tech stack and mainstream machine learning frameworks. Brush up on your knowledge of ML algorithms, from linear models to deep learning, as you’ll likely be asked to discuss your hands-on experience with these technologies.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to mentor and manage a team. Prepare examples of how you've led data science projects into production and how you've empowered your team to develop their capabilities.
✨Communicate Effectively
Excellent communication is key! Be ready to explain complex data concepts in simple terms. Think about how you can partner with product owners and business heads, and prepare to share examples of successful collaborations.
✨Emphasise Innovation and R&D
Since driving innovation is a big part of the role, come prepared with ideas on how to leverage new data sources and improve existing methods. Show your passion for exploring new technologies and methodologies that can benefit both customers and the business.
