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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 working 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 and development 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data science. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and experiments. This is your chance to demonstrate your expertise in statistical inference and predictive modelling.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your past projects and how you’ve used data to drive customer acquisition strategies. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist - Acquisition Tech: Growth via Experiments
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 with designing experiments and developing predictive models.
Showcase Your Projects: If you've worked on any projects related to data science, especially in fintech or customer acquisition, make sure to mention them! We love seeing practical applications of your skills.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
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 specific examples where you've successfully set up A/B tests or other experimental designs. Be prepared to explain your thought process and the outcomes.
✨Showcase Your Predictive Modelling Skills
Have a couple of predictive models you can talk about in detail. Discuss the data you used, the algorithms you chose, and how your models impacted business decisions, particularly in acquisition tech.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to customer acquisition and how they measure success. This shows your genuine interest in the role and helps you understand if it's the right fit for you.