At a Glance
- Tasks: Support critical projects by developing data pipelines and creating insightful data visualisations.
- Company: Vantage Point Global, a forward-thinking firm in the heart of London.
- Benefits: Ongoing training, social events, and potential for a permanent position.
- Other info: Collaborate with senior professionals in a vibrant and supportive environment.
- Why this job: Join a dynamic team and make an impact in the world of trading with your data skills.
- Qualifications: Bachelor’s or Master’s degree in a quantitative field; strong Python and SQL skills.
The predicted salary is between 30000 - 40000 £ per year.
Vantage Point Global is seeking a Junior Data Scientist to support critical projects in London. You will work closely with senior data professionals, developing data pipelines, conducting operational analytics, and creating data visualisations.
This role requires a Bachelor’s or Master’s degree in a quantitative field, with strong skills in Python and SQL. The position offers ongoing training, social events, and the potential for a permanent position.
Junior Data Scientist: AI & Data Pipelines for Trading employer: Vantage Point Global
Vantage Point Global is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong emphasis on employee development through ongoing training and mentorship from experienced professionals, you will have ample opportunities to grow your skills in data science. The company fosters a collaborative culture with regular social events, making it not just a workplace, but a community dedicated to meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist: AI & Data Pipelines for Trading
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This is your chance to demonstrate your capabilities and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. We recommend practising coding challenges and discussing your thought process, as this will help you stand out during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to dive into the world of AI and data pipelines.
We think you need these skills to ace Junior Data Scientist: AI & Data Pipelines for Trading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your skills in Python and SQL, as well as any relevant projects or coursework. We want to see how your background fits with the Junior Data Scientist role, so don’t hold back on showcasing your quantitative skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experiences align with our needs. We love seeing genuine enthusiasm for data science and trading, so let your passion come through.
Showcase Your Projects:If you've worked on any data pipelines or visualisation projects, make sure to mention them! We appreciate candidates who can demonstrate their practical experience, so include links to your GitHub or any relevant portfolios if you have them.
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 the role. Plus, it gives you a chance to explore more about what we do at Vantage Point Global!
How to prepare for a job interview at Vantage Point Global
✨Know Your Data Tools
Make sure you brush up on your Python and SQL 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 operational analytics. Think of examples where you've turned data into actionable insights, and be ready to explain your thought process clearly.
✨Visualisation is Key
Since the role involves creating data visualisations, practice explaining your visualisation choices. Bring along examples of your work if possible, and be prepared to discuss how you choose the right visual for the data.
✨Engage with the Team Spirit
Vantage Point Global values collaboration, so show your enthusiasm for working in a team. Be ready to share experiences where you've successfully collaborated with others, and express your eagerness to learn from senior data professionals.
