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- Tasks: Advance AI products and optimise machine learning models in a dynamic team.
- Company: Innovative AI and analytics software business transforming financial services.
- Benefits: Competitive salary, remote work, and opportunities for mentorship and growth.
- Why this job: Join a high-growth environment and shape the future of conversational AI.
- Qualifications: Strong Python skills and experience in machine learning; finance knowledge is a plus.
- Other info: Collaborate with engineering teams in an agile, AWS-based setting.
The predicted salary is between 65000 - 75000 £ per year.
£65,000-£75,000 Remote in the UK (1-2 days a month on-site in London)
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.
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.
- Building and optimising machine learning and LLM-based models
- Working on conversational AI systems, including NLP and data interaction layers
- Collaborating closely with engineering and DevOps teams in an AWS environment
- Supporting the evolution of products tailored to financial and trading use cases
Requirements:
- Strong Python and machine learning fundamentals
- Exposure to fine-tuning, model optimisation, and deployment
- Understanding of financial services or trading environments (highly desirable)
- Comfortable working in agile/sprint-based environments
- Experience with modern AI infrastructure (e.g. model serving, MCP servers)
Data Science Data Science Senior Data Scientist (Python) (Remote) in Reading employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Python) (Remote) in Reading
✨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 with current employees at companies you're interested in, and don't be shy about asking for informational chats.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and machine learning. This is your chance to demonstrate your expertise in Python and how you’ve tackled real-world problems.
✨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 AWS and model optimisation.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals who can contribute to our innovative projects. Don’t miss out on the opportunity to join a dynamic team that’s shaping the future of conversational AI.
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Python) (Remote) in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning. 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 working with us at StudySmarter and how your background in data science can contribute to our innovative AI products.
Showcase Your Team Spirit: Since you'll be mentoring junior colleagues and collaborating with engineering teams, let us know about your teamwork experiences. Share examples of how you've worked in agile environments and contributed to team success!
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 Python Inside Out
As a Senior Data Scientist, you'll need to demonstrate your expertise in Python. Brush up on key libraries like Pandas, NumPy, and Scikit-learn. Be ready to discuss your past projects and how you've used these tools to build and optimise machine learning models.
✨Showcase Your NLP Knowledge
Since the role involves working with conversational AI systems, make sure you can talk about your experience with natural language processing. Prepare examples of how you've implemented NLP techniques in previous roles, especially in relation to financial services or trading environments.
✨Familiarise Yourself with AWS
This company operates fully within an AWS environment, so it's crucial to understand the basics of AWS services related to data science. Be prepared to discuss how you've used AWS for model deployment and optimisation in your past work.
✨Emphasise Collaboration Skills
You'll be working closely with engineering and DevOps teams, so highlight your experience in agile/sprint-based environments. Share examples of successful collaborations and how you’ve mentored junior colleagues to show you're a team player.