At a Glance
- Tasks: Build analytics foundations and analyse user behaviour to drive engagement.
- Company: Junior AI, a forward-thinking company in Greater London.
- Benefits: Competitive pay, gym membership, and exciting team offsites.
- Other info: Join a dynamic team with opportunities for growth and visibility.
- Why this job: Make a real impact on customer insights and sales strategies.
- Qualifications: Strong data analytics skills, proficiency in SQL and Python.
The predicted salary is between 35000 - 45000 £ per year.
Junior AI in Greater London is seeking a dedicated data scientist to build the analytics foundation and understand user behavior deeply. You’ll drive engagement analysis, customer health modeling, and sales funnel mapping while having significant visibility and impact.
The ideal candidate possesses a strong data analytics skillset, proficiency in SQL and Python, and experience with product analytics tools.
The role offers competitive pay along with a gym membership and team offsites.
Founding Data Scientist — Commercial Analytics employer: Junior AI
Junior AI is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer competitive pay, gym memberships, and engaging team offsites, ensuring our data scientists not only thrive professionally but also enjoy a balanced lifestyle. Join us to make a meaningful impact while developing your skills in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Data Scientist — Commercial Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in demonstrating your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Founding Data Scientist — Commercial Analytics
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your data analytics skills, especially in SQL and Python. We want to see how you can use these tools to drive engagement analysis and customer health modelling.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience aligns with the role. We love seeing candidates who understand our mission and can articulate their fit.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity!
How to prepare for a job interview at Junior AI
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or solve problems. This will show that you not only have the technical skills but also know how to apply them in real-world scenarios.
✨Understand User Behaviour
Since the role focuses on understanding user behaviour, come prepared with examples of how you've analysed user data in the past. Think about how you can demonstrate your ability to drive engagement analysis and customer health modelling. This will highlight your fit for the position.
✨Familiarise Yourself with Product Analytics Tools
Research the product analytics tools commonly used in the industry. If you have experience with any specific tools, be ready to discuss how you've leveraged them to gain insights. Showing that you're proactive about learning new tools can set you apart from other candidates.
✨Prepare Questions About Impact
Think about what questions you want to ask regarding the impact of the role. Inquire about how the data scientist contributes to the company's goals and how success is measured. This shows that you're not just interested in the job, but also in making a meaningful contribution.
