At a Glance
- Tasks: Build and deliver innovative AI solutions for Risk & Trading workflows.
- Company: CRU International, a leader in business intelligence for metals and mining.
- Benefits: Competitive salary, flexible benefits, and professional growth opportunities.
- Other info: Collaborative environment with industry-leading experts and diverse projects.
- Why this job: Own projects from start to finish and make a real impact in data science.
- Qualifications: MSc in a quantitative field and expert-level Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market.
About the role
CRU Group is seeking a technically strong, hands-on Senior Data Scientist to join a global team focused on building real-world data science and AI solutions for Risk & Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models. This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions.
Key Responsibilities
- Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI.
- Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies.
- Develop robust, scalable, production-grade Python code.
- Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes.
- Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration.
- Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions.
- Mentor team members and contribute to raising standards for technical execution and delivery discipline.
- Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services.
Qualifications
- MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar.
- Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy.
Skills & Experience
- 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field.
- Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring.
- Strong exposure to time-series forecasting or commodity data.
- Creative thinker with a robust approach to data and modelling.
- Hands-on experience working with machine learning and LLMs.
- Hands-on experience building AI applications beyond simple chatbot interfaces.
- Goal-oriented, with a high level of energy and enthusiasm; able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment.
- Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data.
- Creative application of first principles to problems, with an awareness of business time constraints.
- Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry.
- Lead by example in work ethic and commitment to exceeding client expectations.
- Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent.
- Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change.
- Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure.
- Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools.
What We Offer
- Competitive salary and flexible benefits package.
- Opportunities for professional growth and development as part of a global company.
- A collaborative and supportive work environment.
- The chance to work with industry-leading experts and over a diverse range of topics and projects.
Join the Team
This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions as a Senior Data Scientist.
Senior Data Scientist - GenAI & ML, London employer: CRU International Limited
CRU International is an exceptional employer, offering a dynamic and collaborative work environment in London where innovation thrives. As a Senior Data Scientist, you will have the opportunity to lead impactful projects in AI and machine learning, while benefiting from a competitive salary, flexible benefits, and ample professional growth opportunities within a global team of industry experts. Join us to make meaningful contributions in the metals, mining, and fertilizer sectors, all while developing your skills in a supportive atmosphere that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - GenAI & ML, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive modelling and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you tackled challenges in data science.
✨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!
We think you need these skills to ace Senior Data Scientist - GenAI & ML, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Scientist. Highlight your experience with predictive modelling, machine learning, and any relevant projects you've worked on that align with our needs at CRU International.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python and the scientific stack in your previous roles. We want to see your hands-on experience with ML and AI applications.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about data science and how your background makes you a perfect fit for our team. Be sure to mention your interest in working with generative AI and LLMs.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CRU International Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python and the scientific stack. Brush up on your skills with Pandas, Scikit-learn, and any frameworks like LangChain or LangGraph. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you’ve framed problems, developed models, and delivered solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your ability to own projects end-to-end, which is crucial for this role.
✨Understand the Business Context
Familiarise yourself with the metals, mining, and fertilizer industries. Be ready to talk about how your data science skills can translate into actionable insights for stakeholders. Showing that you understand the business side of things will set you apart from other candidates.
✨Be a Team Player
This role involves collaboration with various teams, so be prepared to discuss your experience working in diverse groups. Highlight instances where you’ve mentored others or contributed to team success. A positive, collaborative attitude will resonate well with the interviewers.
