At a Glance
- Tasks: Analyse data to drive insights on sustainability and support investment decisions.
- Company: LGBT Great, a leader in responsible investment with a focus on inclusivity.
- Benefits: Comprehensive benefits package and flexible working arrangements.
- Other info: Join a dynamic team dedicated to responsible investment and innovation.
- Why this job: Make a positive impact on sustainability while advancing your career in data science.
- Qualifications: 5+ years in data wrangling, visualisation, and proficiency in Python tools.
The predicted salary is between 55000 - 77000 £ per year.
LGBT Great is seeking a Data Scientist embedded within our Responsible Investment function in London. You will collaborate with research and investment teams to provide data-driven insights on sustainability.
The ideal candidate has:
- 5+ years of experience in data wrangling and visualization
- A background in responsible investment data
- Proficiency in Python tools like Pandas and NumPy
A comprehensive benefits package and flexible working arrangements are available.
Data Scientist — Responsible Investment & AI Tools employer: LGBT Great
LGBT Great is an exceptional employer that champions diversity and inclusion, offering a vibrant work culture in the heart of London. With a strong focus on employee growth, you will have access to comprehensive benefits and flexible working arrangements, allowing you to thrive both personally and professionally while contributing to meaningful sustainability initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist — Responsible Investment & AI Tools
✨Tip Number 1
Network like a pro! Reach out to professionals in the responsible investment space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data wrangling and visualisation projects. Use Python tools like Pandas and NumPy to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on sustainability topics and current trends in responsible investment. We want you to be able to discuss how your insights can drive positive change.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Scientist — Responsible Investment & AI Tools
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data wrangling and visualisation, especially with Python tools like Pandas and NumPy. We want to see how your skills align with our focus on responsible investment!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about sustainability and responsible investment. Share specific examples of how you've used data to drive insights in previous roles – we love a good story!
Showcase Your Projects:If you’ve worked on any relevant projects, don’t hesitate to include them! Whether it’s a personal project or something from your past job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our team at LGBT Great!
How to prepare for a job interview at LGBT Great
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Python tools like Pandas and NumPy. Brush up on your data wrangling and visualisation skills, as you might be asked to demonstrate your proficiency during the interview.
✨Understand Responsible Investment
Familiarise yourself with the principles of responsible investment and how data plays a role in sustainability. Be prepared to discuss how your experience aligns with LGBT Great's mission and how you can contribute to their goals.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with research and investment teams, think of examples from your past where you successfully collaborated on projects. Highlight your teamwork skills and how you can bring value to cross-functional teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to responsible investment and how they leverage data. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
