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- Tasks: Build and fine-tune LLMs and NLP models for financial analytics.
- Company: Join Harnham, a leading data and AI organisation in Manchester.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with talented teams and support mid-level Data Scientists.
- Why this job: Make an impact in the exciting world of conversational AI and finance.
- Qualifications: Strong Python, machine learning, and AWS experience required.
The predicted salary is between 60000 - 80000 £ per year.
Harnham is looking for a Senior Data Scientist to join their team in Manchester. This role involves building and fine-tuning LLMs and NLP models, applying quantitative thinking to financial use cases, and developing ML pipelines.
The ideal candidate has strong experience with Python, machine learning, and AWS environments. You will collaborate with cross-functional teams and support mid-level Data Scientists, contributing to advanced conversational AI products in a growing data and AI organization.
Senior Data Scientist: LLMs & NLP for Financial Analytics in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: LLMs & NLP for Financial Analytics in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Harnham or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs and NLP. Share it on platforms like GitHub or even your own website. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team. Don't miss out on the chance to be part of something great!
We think you need these skills to ace Senior Data Scientist: LLMs & NLP for Financial Analytics in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and AWS. 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 passionate about LLMs and NLP in financial analytics. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Quantitative Skills: Since this role involves applying quantitative thinking, make sure to include examples of how you've used data analysis in past projects. We’re looking for candidates who can demonstrate their analytical prowess in real-world scenarios.
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 – just follow the prompts!
How to prepare for a job interview at Harnham
✨Know Your LLMs and NLP Inside Out
Make sure you brush up on your knowledge of large language models and natural language processing. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data structures in Python can really help you shine.
✨Familiarise Yourself with Financial Use Cases
Understanding how data science applies to financial analytics is crucial. Research common use cases in finance where LLMs and NLP are used, such as sentiment analysis or fraud detection. Being able to discuss these applications will set you apart from other candidates.
✨Prepare for Team Collaboration Questions
As you'll be working with cross-functional teams, expect questions about teamwork and collaboration. Think of examples where you've successfully supported others or led a project. Highlight your ability to communicate complex ideas clearly, especially to mid-level Data Scientists who may need guidance.