At a Glance
- Tasks: Lead R&D initiatives in AI/ML for private credit analytics and fine-tune language models.
- Company: Innovative firm at the forefront of financial technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by bridging cutting-edge research with practical applications in finance.
- Qualifications: 5+ years in data science with expertise in AI/ML and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
We're looking for a Senior Data Scientist to lead R&D initiatives at the intersection of LLMs, information retrieval, and private credit analytics. You'll fine-tune small language models on financial documents, build agentic workflows for multi-step reasoning, and develop production-ready extraction systems that power our AI platform for institutional investors. This role bridges cutting‑edge research with real‑world deployment.
You'll work closely with Prompt Engineers on hybrid LLM+ML approaches, partner with QA Data on evaluation frameworks, and translate research into detailed specs for our Platform Engineering team. Your models will process thousands of credit agreements daily, requiring both innovation and reliability.
What You'll Do- Fine‑tune Small Language Models on proprietary private credit corpus (credit agreements, indentures, term sheets)
- Develop information retrieval systems: semantic search, ranking algorithms, and context‑aware retrieval
- Build agentic workflows with multi-step reasoning, tool use, reflection, and self‑correction capabilities
- Train classification models for document type identification, section detection, and entity recognition
- Create extraction models: NER for financial entities, relation extraction, structured table parsing
- Partner with Prompt Engineers on prompt optimization strategies and hybrid LLM+ML approaches
- Experiment with latest techniques: RAG architectures, fine‑tuning methods (LoRA, QLoRA), model distillation
- Present research findings to engineering team and stakeholders monthly (progress, insights, recommendations)
- Stay current with academic research and industry developments in NLP, LLMs, and financial ML
- Write detailed technical specs for Platform team: model architecture, dependencies, deployment steps, API contracts
- Define production readiness criteria: performance benchmarks, edge case handling, failover mechanisms, rollback procedures
- Create comprehensive model cards: intended use, limitations, bias analysis, performance metrics, monitoring requirements
- Optimize models for production constraints: latency 95%, cost
Senior Data Scientist (R&D) - AI/ML for Private Credit in London employer: Alphastream
As a Senior Data Scientist at our innovative firm, you'll be part of a dynamic team that thrives on collaboration and cutting-edge research in AI/ML for private credit. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and access to the latest technologies, all while being located in a vibrant city that fosters creativity and professional development. Join us to make a meaningful impact in the financial sector, where your contributions will directly influence our AI platform for institutional investors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (R&D) - AI/ML for Private Credit in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML and data science. We love seeing real-world applications of your work, so make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key, so let your passion for data science shine through!
✨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’re always on the lookout for talented individuals who are ready to make an impact in the world of private credit analytics.
We think you need these skills to ace Senior Data Scientist (R&D) - AI/ML for Private Credit in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with LLMs and financial analytics in your application. We want to see how you've fine-tuned models or developed workflows in the past, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Senior Data Scientist role. Use keywords from the job description to show us you understand what we're looking for.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Alphastream
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest techniques for fine-tuning small language models, especially in the context of financial documents. Be ready to discuss your experience with RAG architectures and model distillation, as well as how you’ve applied these methods in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to develop innovative information retrieval systems. Think about specific examples where you've built semantic search or ranking algorithms, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly with Technical Specs
Since this role involves writing detailed technical specs for the Platform team, practice explaining complex concepts in a straightforward manner. You might be asked to outline model architecture or deployment steps, so clarity is key!
✨Stay Updated on Industry Trends
Familiarise yourself with the latest academic research and industry developments in NLP and financial ML. Being able to discuss recent advancements and how they could apply to the company’s needs will show your passion and commitment to the field.
