At a Glance
- Tasks: Uncover insights from user behaviour and marketplace economics to shape product strategy.
- Company: Join Preply, a unicorn company transforming education through tech-enabled learning.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team at the heart of decision-making.
- Why this job: Make a real impact on education by driving retention and shaping product strategies.
- Qualifications: Experience in data analysis and strong communication skills for diverse teams.
The predicted salary is between 60750 - 74250 £ per year.
Why Here?
Preply powers people’s progress by creating life‑changing learning experiences through human‑led, tech‑enabled education.
The company has reached unicorn status with a $150M Series D and connects over 100,000 tutors teaching 90+ languages to learners in 180 countries.
The Data Team sits at the heart of every decision, running hundreds of A/B tests to optimize the product amid the complexities of a subscription‑based marketplace.
What Will You Do?
As a Senior Data Scientist – Insights at Preply, you will develop a deep understanding of user behavior and marketplace economics to uncover insights that shape product strategy.
You will analyze customer behavior to drive retention and communicate findings effectively to stakeholders across technical and non-technical teams.
Additionally, you will design, execute, and evaluate large-scale experiments while defining KPIs that align with business goals.
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London, United Kingdom Preply Senior Data Scientist – Insights employer: Experimentation Jobs
Fyxer is an exceptional employer that fosters a dynamic work culture where innovation and autonomy are at the forefront. With rapid growth and a focus on applied AI, employees have unique opportunities for professional development and to make a significant impact in a fast-paced environment. Located in London, the company offers a collaborative atmosphere where team members can thrive and contribute to groundbreaking solutions in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land London, United Kingdom Preply Senior Data Scientist – Insights
✨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 Experimentation Jobs!
✨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 London, United Kingdom Preply Senior Data Scientist – Insights at Experimentation Jobs.
✨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 Experimentation Jobs.
✨Apply Directly through Our Website
When you find a suitable opening like London, United Kingdom Preply Senior Data Scientist – Insights at Experimentation Jobs, 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 London, United Kingdom Preply Senior Data Scientist – Insights
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 Experimentation Jobs, 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 Experimentation Jobs. 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 Experimentation Jobs
✨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 Experimentation Jobs!
✨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.
