Data Scientist

Company Description
-Anglo American is on a journey to create Intelligent Mines where data-driven insight creates sustainable value across an integrated value chain. The drive is to create a system which empowers data-driven decision-making abilities at all levels in the organization.

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 going to generate more data than we ever have before, and we need to build the systems to support this. Data will come in from different steps in the value chain which will enable us to make better decisions. New digital technologies bring us better ways of doing the things we already do.

We are looking for a Senior Data Scientist within the Group Technical & Sustainability function. This is a Band 6 role, reporting to Principal Offline Studies.

Job Description
-The purpose of this role is to deliver data science projects to unlock value potential by implementing ML-based solutions in collaboration with business stakeholders and the DA Studies team members.

• Perform data and technical scoping of Data Science projects
• Use a range of data and information sources to perform analysis and produce management reports
• Implement solutions using Data Analytics/Machine Learning/A.I. best practices
• Build effective ML models using latest developments and necessary data processing pipelines in ML algorithms, relevant to specific business problems
• Develop and deploy ML solutions in Azure based analytics platforms
• Collaborate with Business stakeholders, the rest of the DA Studies team, system integrators and technology vendors
• Provide technical support, guidance and mentoring to other team members
• As team leader, foster a climate that is inclusive and where team members feel safe to contribute, collaborate, receive feedback, while coaching and resolving conflicts

Qualifications
-· Masters and/or PhD Degree in Computer Science, Physics, Mathematics or Metallurgy

• Effective verbal and written communication – ideally a Consultancy background with ability to communicate with technical stakeholders and external vendors
• Evidence of continuous learning e.g. professional certificates, nano-degrees in data science related subjects
• Knowledge about mining value chain including experience of building Data Science solutions related to ore processing problems
• Detailed knowledge of Statistics, Data Science, Cloud Computing (PaaS and IaaS) and hands on Machine Learning of at least 4-5 years
• Experience in ML/AI/analytics implementation using best practices in solution design, architectures, documentation and code lifecycle management
• Knowledge about ML algorithms, libraries and frameworks (should be demonstrable via coding test)
• Experience building ML based products, SAAS deployment and integration (should be demonstrable during interview &/or coding test)
• Industry Data Science project delivery experience using Agile sprints
• Experience working directly with various business stakeholders including Data Engineers, Solutions Architects and Product Managers in creating robust solutions
• Compliance to standards (safety, health, environment, regulatory & financial) applicable to the role

Additional Information
-Anglo American is an equal opportunities employer. We are committed to promoting an inclusive and diverse workplace where we value and respect every colleague for who they are and provide equality of opportunity so that everyone can fulfil their potential.