Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Model customer price sensitivity and analyse partner operations using machine learning.
- Company: Dynamic financial services company based in Harrow, UK.
- Benefits: Generous salary, employee benefits, and a supportive company culture.
- Why this job: Join a vibrant team and make an impact on pricing strategies.
- Qualifications: Expertise in quantitative fields and proficiency in data manipulation tools.
- Other info: Excellent opportunity for growth in a collaborative environment.
The predicted salary is between 60000 - 90000 £ per year.
A dynamic financial services company based in Harrow, UK, is looking for a Data Scientist specializing in machine learning and statistical analysis. You will model customer price sensitivity, analyze partner operations, and support pricing strategies within a vibrant team.
Ideal candidates have:
- Expertise in quantitative fields
- Proficiency in data manipulation tools
- Excellent communication skills
The salary range for this role is set between £60,000 and £90,000, alongside generous employee benefits and a supportive company culture.
Data Scientist - Partnerships Strategy & Pricing Analytics in Harrow on the Hill employer: iwoca Deutschland
Contact Detail:
iwoca Deutschland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Partnerships Strategy & Pricing Analytics in Harrow on the Hill
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in the financial services sector. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and statistical analyses. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on common data science scenarios, especially around pricing strategies and customer behaviour analysis. Practising your responses will help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our vibrant team. It shows initiative and enthusiasm!
We think you need these skills to ace Data Scientist - Partnerships Strategy & Pricing Analytics in Harrow on the Hill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and statistical analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it’s through your CV or cover letter, clarity is crucial!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at iwoca Deutschland
✨Know Your Data Tools
Make sure you’re well-versed in the data manipulation tools mentioned in the job description. Brush up on your skills with Python, R, or SQL, and be ready to discuss how you've used these tools in past projects. We recommend preparing a couple of examples where your data analysis made a significant impact.
✨Understand Pricing Strategies
Since this role focuses on pricing analytics, take some time to research common pricing strategies and models. Be prepared to discuss how you would approach modelling customer price sensitivity and what factors you think are most important. This shows that you’re not just technically skilled but also understand the business side of things.
✨Communicate Clearly
Excellent communication skills are key for this position. Practice explaining complex data concepts in simple terms, as you may need to present your findings to non-technical stakeholders. We suggest doing mock interviews with friends or colleagues to refine your ability to convey your ideas clearly and confidently.
✨Show Your Team Spirit
This role is within a vibrant team, so it’s important to demonstrate your ability to collaborate. Think of examples from your past experiences where you worked effectively in a team setting. We encourage you to highlight how you contributed to team success and how you can bring that same energy to their company culture.
