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- Tasks: Build and deploy data science solutions using Python in a collaborative team.
- Company: Global investment firm located in Central London with a dynamic work culture.
- Benefits: Competitive salary, 10% bonus, and a 4-day work week.
- Why this job: Join a small team and take ownership of impactful projects in the finance sector.
- Qualifications: Over 2 years of experience in data science and strong Python skills.
- Other info: Opportunity to collaborate with stakeholders across multiple exciting projects.
The predicted salary is between 60000 - 65000 £ per year.
A global investment firm in Central London is looking for a Data Scientist with over 2 years of experience. The role emphasizes strong Python skills and data science foundations, focusing on building and deploying data science solutions. You will work in a small team with significant ownership and collaborate with stakeholders across multiple projects.
The offer includes a salary between £60,000–£65,000 plus a 10% bonus, with a 4-day office work model, Monday to Thursday.
Production ML Scientist - NLP, London, 4d/wk employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Scientist - NLP, London, 4d/wk
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the firm you're eyeing. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects and data science solutions. When you get the chance to chat with potential employers, having tangible examples of your work can really make you stand out.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data science fundamentals and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨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 the initiative to connect directly with us.
We think you need these skills to ace Production ML Scientist - NLP, London, 4d/wk
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in building and deploying data science solutions.
Demonstrate Your Data Science Foundations: Don’t forget to showcase your solid understanding of data science principles. We’re looking for someone who can not only crunch numbers but also think critically about data.
Emphasise Team Collaboration: Since you’ll be working in a small team, let us know about your experience collaborating with others. Share examples of how you’ve worked with stakeholders on multiple projects.
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 get to know you better!
How to prepare for a job interview at Harnham
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used in your projects, especially those related to NLP. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your Data Science Foundations
Prepare to talk about your experience with data science methodologies. Be ready to explain how you've built and deployed data science solutions in the past. Use concrete examples to illustrate your understanding of concepts like model evaluation and feature engineering.
✨Emphasise Team Collaboration
Since you'll be working in a small team, it's crucial to highlight your teamwork skills. Think of examples where you've collaborated with others on projects or communicated effectively with stakeholders. This will show that you're not just a technical whiz but also a great team player.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the company. Inquire about the types of projects you'll be working on or how the team collaborates with other departments. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
