Data Scientist at De Beers Group

Job Description:

Business Intelligence and Data Analytics is a central team within the Information Management discipline in Anglo American. The Business Intelligence and Data Analytics team is a high performing technology team providing core digital competencies across product, platform, dashboards, data, and data science.

This role sites within our global data science team. In this role, your technical acumen and innate curiosity will fuel your drive to resolve complex problems and derive valuable insights. You will thrive in a culture of calculated risks, continuous learning, and boundary-pushing innovation.

The Data Scientist will contribute to diverse areas such as time-series data, computer vision, simulation, generative AI, and AI governance across various domains. Initially, your focus will be on enhancing operational performance.

Key responsibilities:

We are seeking candidates who are able to work across the data science lifecycle. Your key responsibilities will include –

• Being a partner with specific teams to capture business requirements and understand the questions they are trying to address, and the data they have or need to collect to address their questions
• Personally, or in collaboration with internal/external teams developing statistical models, algorithms and/or machine learning algorithms to analyse data and address a particular business question
• Presenting data-driven insights and recommendations to functional leads
• Contributing to best practice for agile model and analytics development
• Staying updated with data science trends and technologies
• Leading by example with a strong continuous improvement and analytical mindset
• Assisting with developing the roadmap for future analytical components as data science solutions approach operation
• Supporting the team to ensure existing data science solutions remain accurate and trusted by the business

Qualifications:

Education level:

• Required: An undergraduate qualification (Bachelors / Honours degree or equivalent) in a relevant numerical/technical discipline
• Preferred: Post-graduate qualification in a relevant numerical/technical discipline

Skillset:

• Strong proficiency in programming languages (Python, SQL) and data manipulation libraries (pandas, NumPy).
• A problem-solving mindset with a strong drive to learn and experiment
• Excellent communication and presentation skills
• Project management skills to lead data science development and implementation
• Ability to work independently and as part of a team
• Eagerness to stay informed about the latest advancements in data science and learn with the team as we mature

EXPERIENCE

• 5+ years of experience as a Data Scientist or an adjacent role
• Delivery of data science projects (simulation, machine learning, statistical methods, hypothesis testing, experimental design etc)
• Familiarity with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch etc).
• Experience with cloud data science platforms (for example Databricks, AzureML)
• Effective communication of insights from data science work through data visualization tools (like Power BI, matplotlib/seaborn/plotly/dash/streamlit etc)
• Able to surface and address pros and cons of different data science approaches
•  Understanding of distributed computing for handling and processing large datasets
• Understanding of ethical/responsible AI frameworks

Advantageous:

• Experience leading small teams
• Experience in the mining sector or similar other industrials
• Experience building numerical simulations of physical systems
• Experience with operational time-series data and time-series data platforms (for example Seeq)
• Understanding of advanced process control