Description
Anglo American is looking for a Data Scientist for a 6 month contract. Group Data Analytics is a new discipline in the Technical and Sustainability (T&S) function of Anglo American. The work of the discipline is aimed at better leveraging our data to deliver new insights, value, and smarter ways of working from discovery to market.
We are looking for the right candidate to Partner with the relevant Business Units and Group Technical Functions of Anglo American to develop statistical models and machine learning algorithms to extract value from our data
Typical Tasks
- Partner with the relevant Business Units and Group Technical Functions to understand the questions they are trying to address to unlock value, and the data they have or need to collect to address the question.
- Engage on a regular basis to refine opportunities and develop a Pathway for value generating data projects in the appropriate BU/function.
- Provide specialist advice and act as first point of contact for the relevant Business Units and Group Technical Functions and operations data science queries
- Assist the relevant Business Units and Group Technical Functions and operations in designing data capture/experimental setups for exploratory work, or changes in process/data capture in existing systems.
- Perform exploratory data analysis, using R or Python, and provide rapid iterations of analysis to refine posed problems, and identify potential solutions.
- Develop statistical models, algorithms and/or machine learning algorithms to analyse data and address a particular business question.
- Assist and supervise Data Engineers in developing and deploying production workflows for taking data in Real Time or periodically from sites/business functions, passing the data through the developed models and producing the relevant reporting without human intervention.
Formal qualifications:
- Required: Bachelor Degree in Physics, Mathematics, Engineering, Metallurgy or Computer Science.
- Required: MSc in relevant field - Physics, Mathematics, Engineering, Computer Science or Metallurgy.
Role-specific knowledge:
- Must have experience/professional background working in:
o Demonstrated success working with multidisciplinary technical and global teams.
o Demonstrated success working in a similar professional role in a global organisation
o Mathematical/statistical modelling
o Exploratory data analysis
o Coding (working knowledge of Python or R)
- Preferred experience/professional background with:
o Coding (working knowledge of Python)
o Demonstrated success working in mining, processing, manufacturing, resource industries or geosciences.
o Working knowledge of common machine learning algorithms used in regression, classification and time-series prediction.
o Reinforcement learning experience a plus