At a Glance
- Tasks: Lead experimentation and analytics to drive growth in our lending partner channel.
- Company: Join iwoca, a forward-thinking company revolutionising the lending industry.
- Benefits: Enjoy a competitive salary, flexible hours, medical insurance, and professional development opportunities.
- Other info: Be part of a dynamic team in a vibrant London office.
- Why this job: Make a real impact by translating data insights into strategic business decisions.
- Qualifications: Strong statistical skills, causal inference experience, and familiarity with AI required.
The predicted salary is between 70000 - 100000 £ per year.
iwoca is seeking a Data Scientist for the Partner Flow team in London, responsible for leading experimentation and analytics in our lending partner channel. This role involves designing experiments, analyzing customer behavior, and translating findings into strategic decisions, having a direct impact on our business.
The ideal candidate will possess strong statistical foundations, proven causal inference skills, and experience with AI.
iwoca offers a competitive salary range of £70,000 to £100,000 and a variety of benefits, including flexible working hours, medical insurance, and opportunities for professional development.
Data Scientist, Partner Flow – Experimentation & Growth employer: Iwoca
At iwoca, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the heart of London. Our Data Scientists enjoy flexible working hours, comprehensive medical insurance, and ample opportunities for professional growth, all while making a tangible impact on our lending partner channel through data-driven decision-making. Join us to be part of a dynamic team where your expertise in experimentation and analytics will directly shape our business strategies and drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, Partner Flow – Experimentation & Growth
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Iwoca!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist, Partner Flow – Experimentation & Growth at Iwoca.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Iwoca.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist, Partner Flow – Experimentation & Growth at Iwoca, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist, Partner Flow – Experimentation & Growth
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Iwoca, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Iwoca. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Iwoca
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Iwoca!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
