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- Tasks: Design experiments and develop predictive models to enhance customer acquisition strategies.
- Company: Leading fintech company in London with a focus on innovation.
- Benefits: Competitive salary, flexible hours, medical insurance, and pension scheme.
- Why this job: Join a dynamic team and make a real impact in the fintech industry.
- Qualifications: Experience in supervised machine learning and statistical inference.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 60000 - 90000 £ per year.
A leading fintech company in London is looking for a Data Scientist to join their Acquisition Tech team. This role emphasizes supervised machine learning and statistical inference to aid in customer acquisition strategies.
Responsibilities include:
- Designing experiments
- Developing predictive models
The position offers a competitive salary between £60,000 - £90,000 and flexible working hours along with comprehensive benefits including medical insurance and a pension scheme.
Data Scientist - Acquisition Tech: Growth via Experiments in London employer: Iwoca
Contact Detail:
Iwoca Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Acquisition Tech: Growth via Experiments in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data science. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving supervised machine learning and statistical inference. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your thought process when designing experiments or developing predictive models; clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist - Acquisition Tech: Growth via Experiments in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in supervised machine learning and statistical inference. We want to see how your skills align with our customer acquisition strategies!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our Acquisition Tech team. Be specific about your past experiences and successes!
Showcase Your Projects: If you've worked on any experiments or predictive models, don’t hesitate to include them! We love seeing real-world applications of your skills that demonstrate your ability to drive growth.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It helps us keep track of your application and ensures it reaches the right people!
How to prepare for a job interview at Iwoca
✨Know Your Data Science Fundamentals
Brush up on your supervised machine learning concepts and statistical inference techniques. Be ready to discuss how you've applied these in past projects, especially in the context of customer acquisition strategies.
✨Prepare for Experiment Design Questions
Since the role involves designing experiments, think about how you would set up A/B tests or other experimental frameworks. Be prepared to explain your thought process and the metrics you'd use to measure success.
✨Showcase Your Predictive Modelling Skills
Have examples ready that demonstrate your experience with developing predictive models. Discuss the tools and methodologies you used, and be ready to dive into the results and impact of your work.
✨Understand the Company and Its Market
Research the fintech industry and the specific challenges the company faces in customer acquisition. This will help you tailor your answers and show that you're genuinely interested in contributing to their growth through data-driven strategies.