At a Glance
- Tasks: Build machine-learning models and data pipelines for economic analysis.
- Company: Join Bloomberg's innovative economic modeling team in London.
- Benefits: Dynamic work environment with opportunities for high-priority research.
- Other info: Collaborative culture with the chance to manage multiple exciting projects.
- Why this job: Make an impact by turning data into valuable economic insights.
- Qualifications: 5+ years in quantitative analysis, strong Python skills, and a relevant degree.
The predicted salary is between 60000 - 80000 £ per year.
Bloomberg is seeking a candidate with over 5 years of experience in quantitative analysis and machine learning to join their economic modeling team in London. The successful applicant will build machine-learning models and data pipelines, turning unstructured datasets into usable economic signals.
Strong Python skills and a degree in a quantitative subject are necessary, alongside the ability to manage multiple projects under tight deadlines. The position offers a dynamic environment that fosters high-priority research and collaboration.
Economics Data Scientist — ML, NLP & Signals in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a vibrant work culture in the heart of London that encourages innovation and collaboration among its talented teams. Employees benefit from extensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to make a meaningful impact in the field of economics and data science.
StudySmarter Expert Advice🤫
We think this is how you could land Economics Data Scientist — ML, NLP & Signals in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the economics and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss your past projects. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any machine learning models or data pipelines you've built. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team at Bloomberg.
We think you need these skills to ace Economics Data Scientist — ML, NLP & Signals in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python skills and any experience with machine learning in your application. We want to see how you can turn unstructured data into economic signals, so don’t hold back on showcasing your relevant projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand the job description and can relate their experience directly to what we’re looking for. It shows us you’re genuinely interested!
Keep It Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, especially when it comes to your experience and achievements. Remember, we’re sifting through lots of applications, so make yours stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Bloomberg
✨Know Your Stuff
Make sure you brush up on your quantitative analysis and machine learning concepts. Be ready to discuss specific projects where you've built models or data pipelines, especially those involving unstructured datasets. This will show that you not only have the skills but also practical experience.
✨Show Off Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks. Having a few code snippets ready to share can also help illustrate your expertise.
✨Project Management is Key
Given the need to manage multiple projects under tight deadlines, be prepared to discuss how you prioritise tasks and handle pressure. Share examples of past experiences where you successfully juggled competing priorities and delivered results on time.
✨Emphasise Collaboration
Bloomberg values a dynamic environment with collaboration at its core. Be ready to talk about how you've worked in teams, shared knowledge, and contributed to group projects. Highlight any experiences where you’ve collaborated with cross-functional teams to achieve a common goal.
