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For Companies At a Glance
- Tasks: Analyse data to optimise offers and user conversion using machine learning.
- Company: A tech-driven finance company with a focus on innovation.
- Benefits: Competitive salary between £60,000 and £80,000, plus hybrid work options.
- Why this job: Join a dynamic team and make impactful decisions through data science.
- Qualifications: Expertise in probability, data tools, and strong communication skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
A technology-driven finance company is seeking a Data Scientist to focus on supervised machine learning and statistical inference. You will analyze data to optimize offer terms and user conversion. Collaborating closely with the Repeats team, you will design experiments, lead a shift to machine learning, and communicate findings across the organization.
Ideal candidates possess:
- Expertise in probability
- Proficiency in data tools
- Strong communication skills
Competitive compensation ranging from £60,000 to £80,000 is offered.
Data Scientist, Repeats Team – Hybrid London in Harrow employer: iwoca Deutschland
Contact Detail:
iwoca Deutschland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Repeats Team – Hybrid London in Harrow
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning concepts and statistical inference. We should be ready to discuss how we can apply these skills to optimise offer terms and user conversion.
✨Tip Number 3
Showcase our communication skills! During interviews, make sure to explain our thought process clearly when discussing data analysis and experiment design. This will demonstrate our ability to convey complex ideas effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the team.
We think you need these skills to ace Data Scientist, Repeats Team – Hybrid London in Harrow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with supervised machine learning and statistical inference. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've used.
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 on the Repeats team. Share specific examples of how you’ve optimised data analysis in the past and how you can contribute to our goals.
Show Off Your Communication Skills: Since you'll be communicating findings across the organisation, it's crucial to demonstrate your ability to convey complex data insights clearly. We love candidates who can break down technical jargon into understandable terms, so include examples of this in your application.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at iwoca Deutschland
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description. Brush up on your skills with Python, R, or any relevant software. Be ready to discuss how you've used these tools in past projects, especially in supervised machine learning.
✨Master the Art of Communication
Since strong communication skills are key for this role, practice explaining complex data concepts in simple terms. Prepare examples of how you've effectively communicated findings to non-technical stakeholders in previous roles.
✨Experiment Design is Key
Familiarise yourself with designing experiments and A/B testing. Be prepared to discuss your approach to experimentation and how it can optimise offer terms and user conversion. Think of specific examples where your design led to actionable insights.
✨Showcase Your Statistical Knowledge
Brush up on your probability and statistical inference knowledge. Be ready to answer questions that test your understanding of these concepts, as they are crucial for the role. Consider discussing a project where you applied these principles to achieve results.
