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, attend meetups, and connect with current employees at CRU International. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects, especially those involving predictive modelling and machine learning. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Be ready to discuss real-world applications of your work. Think about how your past projects can relate to risk and trading workflows. This shows you understand the business side of things, which is crucial for the role.
✨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 joining the team at CRU International.
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 Senior Data Scientist role. Highlight your experience with predictive modelling, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a perfect fit for our team. Don’t forget to mention your hands-on experience with AI and LLMs!
Showcase Your Projects:If you've worked on any interesting data science projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they relate to risk and trading workflows!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
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 frameworks such as Pandas and Scikit-learn. Brush up on your knowledge of machine learning and LLMs, as you’ll want to demonstrate your hands-on experience during the interview.
✨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 and highlight your ability to tackle complex data challenges.
✨Understand the Business Context
Familiarise yourself with CRU International’s role in the metals, mining, and fertiliser industries. Be ready to discuss how your data science skills can directly impact their risk and trading workflows, showing that you can translate technical requirements into business outcomes.
✨Be a Team Player
Emphasise your collaborative spirit and mentoring experience. Share examples of how you’ve worked with cross-functional teams and helped junior colleagues grow. This will show that you’re not just a tech whiz but also someone who contributes positively to team dynamics.
