At a Glance
- Tasks: Lead R&D in AI/ML for private credit, fine-tuning models and developing innovative workflows.
- Company: Join a forward-thinking firm at the forefront of financial technology.
- Benefits: Competitive salary, flexible work 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, expertise in AI/ML, and strong problem-solving 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 - AI/ML for Private Credit R&D in London employer: Alphastream
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Scientist, you'll have the opportunity to lead groundbreaking R&D initiatives in AI/ML for private credit. Our dynamic work culture fosters continuous learning and professional growth, offering you access to cutting-edge resources and a supportive team environment. Located in a vibrant city, we provide unique advantages such as networking opportunities with industry leaders and a commitment to work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - AI/ML for Private Credit R&D in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML and financial analytics. We love seeing real-world applications of your work, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practicing common interview questions and even doing mock interviews with friends to boost your confidence.
✨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 passionate candidates like you!
We think you need these skills to ace Senior Data Scientist - AI/ML for Private Credit R&D in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AI/ML and data science in your application. We want to see how you've fine-tuned models or developed workflows in the past, so don’t hold back on those details!
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 avoid jargon unless it's relevant. Make it easy for us to see your qualifications and fit for the role.
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. Plus, it’s super easy!
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 this will show your depth of knowledge and relevance to the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've developed information retrieval systems or built agentic workflows. Highlight any challenges you faced and how you overcame them, as this demonstrates your innovative thinking and reliability in real-world applications.
✨Communicate Clearly and Effectively
Since you'll be presenting research findings to engineering teams and stakeholders, practice explaining complex concepts in a straightforward manner. Use clear examples to illustrate your points, which will help convey your ideas effectively during the interview.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest academic research and industry developments in NLP, LLMs, and financial ML. Being able to discuss recent advancements or trends will not only impress your interviewers but also show your passion for the field and commitment to continuous learning.
