Data Scientist

SENIOR DATA SCIENTIST : METALS & MINERALS DIVISION

Berium Minerals & Resources Ltd | A Berium Group Company

Location: Copperbelt / Kabwe, Zambia

WHERE THE WORLD'S METALS MARKETS BEGIN

Berium Group moves metals and minerals from the ground in Africa to the industries that power the world in Europe, Asia, the Middle East and the Americas. We are not a back-office analytics function bolted onto a trading desk. We are a commercial organization that competes and wins on the strength of its information edge, and data science sits at the center of that edge.

Berium Minerals & Resources Ltd, our Zambian subsidiary, is the operational and commercial heart of the Group's metals and minerals business. As global demand for copper, cobalt and critical minerals accelerates, the margin between a good trading decision and a great one increasingly comes down to who sees the pattern first. We are looking for a Senior Data Scientist who wants to be that person.

This is not a role for someone who wants to build models in isolation. It is a role for a commercially-minded scientist who understands that every regression, every clustering exercise, every forecast has a P&L attached to it and who has already spent a decade proving that in a trading floor or a mine.

THE ROLE

You will sit within the Metals & Minerals Division, working directly with trading, procurement, logistics and mine-planning teams to turn data into decisions. Your work will directly inform how Berium prices risk, times the market, allocates capital, and structures its position across copper, cobalt and other critical minerals moving from Zambia's Copperbelt and Kabwe operations to global buyers.

What you will own:

- Build and maintain predictive models for commodity price movement, demand forecasting, and supply-chain risk across the metals and minerals portfolio

- Partner with trading desks to translate market signals, ore grades, production data and macro indicators into models that inform live commercial decisions

- Design and deploy machine learning solutions for grade control, yield optimization, and logistics/route efficiency between Zambian operations and export markets

- Extract, clean and structure data from ERP, laboratory, weighbridge, and market data systems using SQL and modern data pipelines

- Translate complex statistical output into clear, decision-ready visualizations and briefings for traders, executives and mine management

- Mentor junior analysts and help build a data science capability that Berium can scale across its wider African operations

WHO WE'RE LOOKING FOR

This is a senior, high-trust position. We need someone who has already operated at the intersection of quantitative rigor and commercial reality not someone learning it on the job.

Experience:

- Minimum 10 years of experience within commodity trading companies and/or mining companies, ideally within metals and minerals specifically

- Demonstrated track record of data science work that directly influenced trading, procurement, or production decisions — not academic exercises

- Experience working alongside trading desks, mine planners, or commercial teams is essential

Education:

- Bachelor's degree in Mathematics, Data Science, Computer Science, or an Applied Science (Physics, Chemistry, or Engineering)

- Master's degree in a quantitative discipline required

- Candidates holding a PhD are strongly encouraged to apply

Technical Skills:

- Programming: High-level proficiency in Python or R

- Database Management: Strong SQL skills for data extraction and manipulation across large, complex datasets

- Mathematics & Statistics: Solid command of linear algebra, probability theory, and hypothesis testing

- Machine Learning: Practical fluency in regression, classification and clustering methods, with hands-on experience in scikit-learn, TensorFlow, or PyTorch

- Data Visualization: Ability to build clear, executive-ready dashboards and visuals using Tableau, Power BI, Matplotlib, or Seaborn

WHERE YOU'LL BE

This role is based in Zambia, across our Copperbelt and Kabwe operations: the historic and future center of gravity for African copper and cobalt production. You will work close to the ore body and close to the trading decisions it drives, in one of the most consequential mineral regions on earth.

We welcome international applicants.

Experienced professionals based in established commodity trading hubs across Europe and Asia are strongly encouraged to apply. Relocation to Zambia will be required, and Berium will support qualified international hires through that transition.

WHY BERIUM

Berium Group trades at global scale but operates with the discipline and accountability of a company that owns its supply chain from pit to port. Joining us means:

- Direct influence over commercial decisions worth real capital; your models won't sit in a slide deck, they'll move positions

- A seat inside one of Africa's most active metals and minerals trading operations, with visibility across the full value chain from mine to market

- The chance to build a data science function almost from first principles, with the backing and reach of a global trading group

- Competitive, internationally-benchmarked compensation reflecting the seniority and scarcity of this skill set

- Relocation and support package for qualified international candidates

HOW TO APPLY

Berium Minerals & Resources Ltd is an equal opportunity employer. We evaluate all applications on merit, experience, and demonstrated commercial impact.

Qualified candidates should submit:

1. A detailed CV highlighting quantitative and commercial experience within commodity trading or mining organizations

2. A cover letter outlining a specific instance where your data science work directly influenced a commercial or trading outcome

3. Evidence of relevant academic qualifications