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For Companies At a Glance
- Tasks: Drive innovation in AI by developing and prototyping cutting-edge solutions.
- Company: Dynamic business embedding AI into customer interactions and internal tools.
- Benefits: Up to ÂŁ80,000 salary, 10% bonus, hybrid work, and matched pension.
- Why this job: Join an ambitious AI journey and make a real impact on customer experience.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with modern AI tools.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
The predicted salary is between 48000 - 80000 ÂŁ per year.
Are you passionate about shaping the next generation of AI-powered products? Join a dynamic, fast-moving business that’s embedding AI into everything from customer interactions to internal tools. We’re looking for an experienced Data & AI Scientist to help drive innovation across cutting-edge AI initiatives — from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows.
The Role
- Develop and prototype AI-driven solutions across customer-facing and internal applications.
- Build and optimise LLM-based assistants, RAG pipelines, and agentic AI workflows.
- Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering).
- Partner with stakeholders to translate business needs into practical, intelligent systems.
- Mentor junior team members and contribute to the evolution of our AI tooling stack.
This role is ideal for a hands-on AI practitioner who enjoys experimentation, collaboration, and delivering real-world value.
What You’ll Bring
- 3+ years experience in a commercially driven customer environment.
- Strong Python skills and solid grounding in AI/ML fundamentals.
- Experience with some of Databricks, LangChain, vector databases, or LLM orchestration tools.
- Knowledge of RAG pipelines, transformers, and modern AI architectures.
- Understanding of deployment or MLOps best practices (Azure experience a plus).
- Recent, hands-on experience with applied LLM projects.
- Strong communication and stakeholder engagement skills.
- A Master’s degree in Computer Science, ML, or AI is preferred but not required.
The Opportunity
- Be part of an ambitious AI journey - already 70% built, with big plans for the next 5 years.
- Contribute to short-term LLM “quick wins” and longer-term agentic AI development.
- Work in a collaborative, supportive environment with senior data leaders.
- Help shape how AI transforms both customer experience and business efficiency.
Package & Details
- Salary: Up to ÂŁ80,000 + 10% Bonus + 5% Matched Pension
- Hybrid working: 3 days per week in London office (Tues/Weds fixed)
- No visa sponsorship available
Apply below!
Senior Data Scientist - AI in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AI in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. Attend meetups, webinars, or even local events. 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 AI projects, especially those involving LLMs or RAG systems. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key when collaborating with stakeholders. We want to see how you can translate business needs into intelligent systems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our ambitious AI journey.
We think you need these skills to ace Senior Data Scientist - AI in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your Python expertise and any hands-on AI projects you've worked on. We want to see how you can contribute to our AI journey!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your experience aligns with our goals. Let us know why you're excited about shaping AI-powered products at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with LLMs, RAG pipelines, or any other AI initiatives. We love seeing real-world applications of your skills!
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. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning fundamentals. Be ready to discuss your hands-on experience with LLM projects, RAG pipelines, and any tools like Databricks or LangChain. The more specific examples you can provide, the better!
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, be prepared to talk about your coding experience. You might even want to bring along a portfolio of your work or be ready to solve a coding challenge during the interview.
✨Engage with Stakeholders
This role involves partnering with stakeholders, so demonstrate your communication skills. Think of examples where you've successfully translated business needs into practical AI solutions. Show them you can bridge the gap between tech and business!
✨Be a Team Player
Mentoring junior team members is part of the job, so highlight your collaborative spirit. Share experiences where you've worked in teams, contributed to projects, or helped others grow. They want to see that you're not just a lone wolf but someone who thrives in a supportive environment.
