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For Companies At a Glance
- Tasks: Advance AI products by building and optimising machine learning models.
- Company: Innovative AI and analytics software business transforming financial services.
- Benefits: Competitive salary, remote work, and opportunities for mentorship.
- Why this job: Join a high-growth team and shape the future of conversational AI.
- Qualifications: Strong Python skills and experience with NLP or LLMs.
- Other info: Collaborative environment with a focus on professional development.
The predicted salary is between 65000 - 75000 £ per year.
Remote in the UK (1-2 days a month on-site in London)
The Company
I am partnering with an innovative AI and analytics software business building cutting-edge conversational data products; having initially focused on digital use cases, the business is now pivoting into financial services, working with clients across capital markets and trading environments. Their core offering centres around conversational AI for data, enabling users to interact with complex datasets through natural language. Alongside this, they are developing private, enterprise-grade language models, allowing organisations to securely deploy LLM-powered analytics within their own environments; this is a high-growth, product-led environment with a strong engineering and DevOps backbone, operating fully within AWS.
The Role
As a Senior Data Scientist, you'll play a key role in advancing their AI product suite, working across both NLP-driven systems and next-generation LLM applications. You'll sit within a growing Data Science team (currently 5, including 2 senior members), helping to shape technical direction while mentoring more junior colleagues.
Key responsibilities include:
- Building and optimising machine learning and LLM-based models
- Fine-tuning and deploying models within production environments
- Working on conversational AI systems, including NLP and data interaction layers
- Collaborating closely with engineering and DevOps teams in an AWS environment
- Applying statistical and mathematical thinking to solve complex, real-world problems
- Supporting the evolution of products tailored to financial and trading use cases
Your Skills & Experience
- Strong Python and machine learning fundamentals
- Solid grounding in mathematics and statistics
- Experience with LLMs, NLP, or deep learning models
- Exposure to fine-tuning, model optimisation, and deployment
- Understanding of financial services or trading environments (highly desirable)
- Comfortable working in agile/sprint-based environments
Nice to have:
- Quant or trading-related experience
- Experience with modern AI infrastructure (e.g. model serving, MCP servers)
The Benefits
£65,000-£75,000
How to Apply
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
Locations
Senior Data Scientist in Devon, Plymouth employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in Devon, Plymouth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and data science. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and machine learning. 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 technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your experience with LLMs and model optimisation.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Scientist in Devon, Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your Python expertise, machine learning projects, and any relevant work in financial services to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and data science. Share specific examples of your work with NLP or LLMs, and how you can contribute to our innovative team.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Include examples of complex problems you've solved using statistical and mathematical thinking, especially 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 this exciting opportunity in our growing Data Science team!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your Python and machine learning fundamentals. Be ready to discuss your experience with LLMs, NLP, and deep learning models. The more you can demonstrate your technical knowledge, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you've solved using statistical and mathematical thinking. Think of specific examples where you've built or optimised models, especially in production environments.
✨Understand the Business Context
Since this role involves financial services, it’s a good idea to familiarise yourself with the industry. Be prepared to discuss how your skills can apply to trading environments and how you can contribute to their AI product suite.
✨Collaborate Like a Pro
Highlight your experience working in agile/sprint-based environments. Discuss how you've collaborated with engineering and DevOps teams in the past, especially in AWS settings, to show that you're a team player who can thrive in their setup.