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- Tasks: Dive into hands-on data science with Python and cloud-based ML systems.
- Company: Join a high-performing international investment firm in London.
- Benefits: Enjoy a 4-day work week, competitive salary, and professional growth.
- Why this job: Make an impact by working on innovative NLP and LLM projects.
- Qualifications: 3 years of experience, strong Python skills, and modern data science knowledge.
- Other info: Gain ownership of projects and thrive in a dynamic team environment.
The predicted salary is between 42000 - 60000 £ per year.
A high-performing international investment firm in London seeks a Mid-Level Data Scientist to join their Data Science team. This role emphasizes hands-on work with Python and cloud-based ML systems, allowing for ownership over multiple projects and exposure to LLM use cases in a commercial setting.
Responsibilities include:
- Researching new data science applications
- Applying NLP techniques
- Supporting model deployment
Candidates should have around 3 years of experience, strong Python skills, and familiarity with modern data science practices.
Data Scientist: NLP/LLM in Production (London, 4d/wk) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: NLP/LLM in Production (London, 4d/wk)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data scientists. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML knowledge. Practice common data science problems and be ready to discuss your past projects in detail. Confidence is key!
✨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, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist: NLP/LLM in Production (London, 4d/wk)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and NLP techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a great fit. We love seeing genuine enthusiasm for data science and LLM applications.
Showcase Your Projects: If you've worked on any cool data science projects, especially those involving cloud-based ML systems, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled real-world problems.
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’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Python Inside Out
Since the role heavily relies on Python, make sure you brush up on your coding skills. Be prepared to discuss your past projects and how you've used Python in real-world applications, especially in NLP and ML.
✨Familiarise Yourself with LLM Use Cases
Research various large language model applications relevant to the investment sector. Being able to discuss specific examples of how LLMs can be leveraged in commercial settings will show your understanding and enthusiasm for the role.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge of data science practices and NLP techniques. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Showcase Your Project Ownership
This role offers ownership over multiple projects, so be ready to share experiences where you've taken the lead. Highlight your problem-solving skills and how you've driven projects from conception to deployment, particularly in cloud-based environments.
