Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill
Data Scientist - Acquisition Tech: Drive Growth

Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill

Harrow on the Hill Full-Time 60000 - 90000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design experiments and build models to drive growth in a dynamic fintech environment.
  • Company: Innovative financial technology company based in Harrow, UK.
  • Benefits: Competitive salary, flexible working hours, and a culture of continuous learning.
  • Why this job: Make an impact by translating data into insights that shape sales strategies.
  • Qualifications: Experience in statistics, data manipulation tools like pandas and R, and strong communication skills.
  • Other info: Join a hybrid team with opportunities for professional growth.

The predicted salary is between 60000 - 90000 £ per year.

A financial technology company in Harrow, United Kingdom is seeking a Data Scientist to join their Acquisition Tech team. This hybrid role involves designing and evaluating experiments, building statistical models, and translating complex data into clear insights to influence sales strategies.

Candidates should have experience in probability and statistics, data manipulation tools like pandas and R, and the ability to communicate findings effectively.

The salary ranges from £60,000 to £90,000, with a culture of learning and flexible working hours.

Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill employer: iwoca Deutschland

Join a forward-thinking financial technology company in Harrow, where innovation meets collaboration. With a strong emphasis on employee growth and a culture of continuous learning, we offer flexible working hours and competitive salaries ranging from £60,000 to £90,000. Our supportive environment encourages you to leverage your skills in data science to drive impactful sales strategies while enjoying the unique advantages of working in a vibrant tech hub.
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Contact Detail:

iwoca Deutschland Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data manipulation projects using pandas and R. This will not only impress potential employers but also give you something tangible to discuss during interviews.

✨Tip Number 3

Prepare for those tricky questions! Brush up on your probability and statistics knowledge, and be ready to explain how you've used these skills in past projects. We want you to shine when it comes to demonstrating your expertise!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill

Statistical Modelling
Experiment Design
Data Manipulation (pandas, R)
Probability and Statistics
Data Analysis
Communication Skills
Insight Generation
Sales Strategy Influence

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with probability, statistics, and data manipulation tools like pandas and R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position in our Acquisition Tech team. Share specific examples of how you've translated complex data into actionable insights in the past.

Showcase Your Communication Skills: Since communicating findings effectively is key for us, consider including a brief example in your application where you successfully conveyed complex data insights to non-technical stakeholders. This will help us see your ability to bridge the gap!

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 shows us you’re keen on joining our team!

How to prepare for a job interview at iwoca Deutschland

✨Know Your Data Tools

Make sure you brush up on your skills with data manipulation tools like pandas and R. Be ready to discuss specific projects where you've used these tools to analyse data and draw insights. This will show that you’re not just familiar with the tools, but that you can apply them effectively.

✨Master Probability and Statistics

Since the role involves designing experiments and building statistical models, be prepared to talk about your experience with probability and statistics. Think of examples where you've applied these concepts in real-world scenarios, as this will demonstrate your analytical thinking and problem-solving skills.

✨Communicate Clearly

You’ll need to translate complex data into clear insights, so practice explaining your findings in a straightforward manner. Consider how you would present your analysis to someone without a technical background. This will highlight your ability to communicate effectively, which is crucial for influencing sales strategies.

✨Show Your Growth Mindset

With a culture of learning at the company, it’s important to convey your enthusiasm for continuous improvement. Share examples of how you’ve sought out new knowledge or skills in the past, and express your eagerness to learn and grow within the Acquisition Tech team.

Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill
iwoca Deutschland
Location: Harrow on the Hill
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  • Data Scientist - Acquisition Tech: Drive Growth in Harrow on the Hill

    Harrow on the Hill
    Full-Time
    60000 - 90000 £ / year (est.)
  • I

    iwoca Deutschland

    50-100
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