Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI-driven projects, architect advanced systems, and tackle complex regulatory challenges.
- Company: Market-leading RegTech SaaS business transforming compliance for top financial institutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of AI in regulatory technology.
- Qualifications: 8+ years in Data Science with expertise in Generative AI and LLMs.
- Other info: Dynamic environment with a focus on innovation and career advancement.
The predicted salary is between 72000 - 108000 £ per year.
A market-leading SaaS business in the RegTech space is looking for a Principal Data Scientist to architect and scale their AI-driven compliance and regulatory intelligence platform. This business provides critical infrastructure that automates complex regulatory workflows and risk management for the world’s largest financial institutions and law firms. You will lead the transition from traditional NLP to advanced Generative AI, building production-ready systems that handle massive volumes of unstructured regulatory data.
The Role
As the technical authority for AI, you will be responsible for the end-to-end lifecycle of AI features. You will work closely with Engineering and Product leads to move beyond R&D, shipping scalable LLM-based solutions that solve high-stakes compliance and data-reasoning challenges.
Key Responsibilities
- AI Architecture: Architect advanced RAG and Graph-based retrieval systems to enable precise "multi-hop" reasoning across complex regulatory frameworks.
- LLM Orchestration: Design and deploy production systems using Claude, Amazon Bedrock, or GPT-4, focusing on high-fidelity information extraction and summarization.
- Production MLOps: Establish rigorous evaluation frameworks for model accuracy, hallucination detection, and risk scoring—essential for a regulated SaaS environment.
- Technical Strategy: Drive the AI roadmap, selecting the right tools and frameworks (Vector DBs, Agentic workflows) to maintain a competitive edge in RegTech.
Technical Requirements
- Applied AI Experience: Extensive background in deploying Generative AI and LLMs within a live SaaS product environment.
- Core Stack: Expert-level Python and experience working within AWS serverless architectures; familiarity with TypeScript or Java is a plus.
- Complex Data: Proven track record in Information Retrieval, using Vector Databases (OpenSearch/Elasticsearch) and Knowledge Graphs to manage unstructured data.
- RegTech/FinTech Background: Experience navigating the accuracy and security requirements of highly regulated industries.
- Seniority: 8+ years in Data Science with significant experience in a technical leadership or principal-level role.
Senior Data Scientist in London employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the RegTech and Data Science communities on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. Share your work on GitHub or a personal website. This gives potential employers a taste of what you can do and sets 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 scenarios and be ready to discuss your past experiences in detail. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive about their job search. So, go ahead and hit that apply button!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Principal Data Scientist. Highlight your experience with Generative AI and LLMs, and don’t forget to showcase your skills in Python and AWS. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about RegTech and how your expertise can help us scale our AI-driven platform. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects related to AI architecture or MLOps, make sure to include them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to handle complex regulatory data.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Explore Group
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest advancements in Generative AI and LLMs. Brush up on your experience with Claude, Amazon Bedrock, or GPT-4, as these are crucial for the role. Be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Technical Strategy Skills
Prepare to talk about your approach to AI architecture and MLOps. Think of specific examples where you’ve established evaluation frameworks for model accuracy and risk scoring. This will demonstrate your ability to drive the AI roadmap effectively.
✨Highlight Your RegTech Experience
Since this role is in a highly regulated environment, be prepared to discuss your background in RegTech or FinTech. Share experiences that showcase your understanding of compliance challenges and how you’ve navigated them in past projects.
✨Be Ready for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills, especially around complex data management and information retrieval. Practice articulating your thought process clearly, as this will show your analytical capabilities and leadership potential.
