At a Glance
- Tasks: Drive analytical workstreams and deliver robust data solutions using SQL and Python.
- Company: Loop Horizon, a vibrant tech company based in London.
- Benefits: Competitive salary, 25 days holiday, and hybrid working flexibility.
- Other info: Enjoy a balance between collaboration and remote work in a supportive environment.
- Why this job: Join a dynamic team and unlock significant growth opportunities in data science.
- Qualifications: Over 2 years of experience with a strong STEM education.
The predicted salary is between 35000 - 42000 € per year.
Loop Horizon is seeking an Associate Data Scientist based in London to drive analytical workstreams and deliver robust data solutions. Candidates should have over 2 years of experience, a strong STEM education, and proficiency in SQL and Python.
The role offers competitive salary, 25 days holiday, and hybrid working flexibility, aiming for a balance between face-to-face collaboration and remote work. This position enables significant growth opportunities in a vibrant team environment.
Associate Data Scientist: Client Analytics & ML, Hybrid in London employer: Energy Jobline ZR
Loop Horizon is an exceptional employer that fosters a vibrant team culture and prioritises employee growth, making it an ideal place for aspiring data scientists. With competitive salaries, 25 days of holiday, and the flexibility of hybrid working arrangements, employees can enjoy a healthy work-life balance while contributing to impactful analytical projects in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist: Client Analytics & ML, Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Loop Horizon on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your SQL and Python prowess. This can really impress during interviews and set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and coding challenges. We can even help you find resources to brush up on your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who fit the bill.
We think you need these skills to ace Associate Data Scientist: Client Analytics & ML, Hybrid in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with the analytical workstreams we’re looking to drive at Loop Horizon.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point about your qualifications.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Energy Jobline ZR
✨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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Mindset
Prepare to talk about your approach to problem-solving and data analysis. Think of examples where you've driven analytical workstreams and how your insights led to impactful decisions. This will demonstrate your fit for the role.
✨Understand the Company Culture
Research Loop Horizon's values and team dynamics. Since they emphasise a vibrant team environment, be prepared to discuss how you collaborate with others and contribute to a positive workplace culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the types of projects you'll be working on and how success is measured. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
