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- Tasks: Enhance investment processes using machine learning and collaborate with stakeholders.
- Company: Leading financial services firm in the UK with a focus on innovation.
- Benefits: Competitive salary, collaborative environment, and hands-on problem-solving opportunities.
- Why this job: Make a real impact in finance through advanced data science and machine learning.
- Qualifications: Strong programming skills, experience in NLP and ML algorithms, and financial market knowledge.
- Other info: Join a dynamic team and grow your career in a cutting-edge field.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services firm in the UK is looking for an innovative data scientist to enhance investment processes through machine learning. The role involves collaborating with stakeholders, developing solutions for ESG and stewardship functions, and applying advanced technical skills.
Candidates should have:
- A strong programming background
- Experience in NLP and ML algorithms
- A good understanding of financial markets
This position offers opportunities for hands-on problem-solving within a collaborative environment.
Lead Data Scientist — LLMs, ESG & Search in Westminster employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist — LLMs, ESG & Search in Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services and data science sectors. Use platforms like LinkedIn to connect with people who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those related to NLP and ML algorithms. When you get the chance to chat with potential employers, share your hands-on experiences and how you've tackled real-world problems.
✨Tip Number 3
Be ready for technical interviews! Brush up on your programming skills and be prepared to solve coding challenges on the spot. Practising common data science problems will help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead Data Scientist — LLMs, ESG & Search in Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming background and experience with NLP and ML algorithms in your application. We want to see how your skills can enhance our investment processes!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role, especially in relation to ESG and stewardship functions. We love seeing candidates who take the time to connect their background to our needs.
Collaborative Spirit: Since this role involves working closely with stakeholders, emphasise any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can contribute to our collaborative environment.
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. Don’t miss out!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Algorithms
Brush up on your machine learning algorithms, especially those relevant to natural language processing (NLP). Be ready to discuss how you've applied these in past projects, particularly in financial contexts. This shows you not only understand the theory but can also implement it effectively.
✨Showcase Your Programming Skills
Make sure you’re comfortable discussing your programming background. Prepare to talk about specific languages and tools you’ve used, like Python or R, and how they’ve helped you solve complex data problems. Real-world examples will make your skills stand out.
✨Understand ESG and Financial Markets
Familiarise yourself with Environmental, Social, and Governance (ESG) criteria and how they impact investment decisions. Being able to articulate your understanding of these concepts will demonstrate your readiness to contribute to the firm’s stewardship functions.
✨Collaborative Mindset
Since the role involves working closely with stakeholders, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with others to develop solutions, highlighting your communication skills and adaptability.
