Data Science: Graduate Intern: Job Grade: 07: SLS: Forensic Services: Bellville

Who are we?

Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of the following business units Retail Mass, Corporate, Risk and Savings, Glacier and various business enabling functions. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the four clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives.What will you do?

This role exists in our Sanlam Life and Savings: Forensic Services department that focuses on providing effective fraud risk management services to all business clusters serviced. This is a specialist technical role that works closely with the Forensic Investigators, and various stakeholders within the business, and whose primary responsibilities are to undertake data analytics, investigations and reporting.What will make you successful in this role?

• Extract and create regular MIS reports for the business

• Create new/updated report views

• Undertake adhoc investigations and reports based on business needs/problems

• Build business models

• Undertake data management (structure and storage, transformations)

• Apply data analytics/science

• Stakeholder management Qualification and Experience

• Grade 12

• Related qualification in data science preferable (maths and statistics)

• Relevant accreditations in tools, applications (i.e.: Python, R, SQL, etc)

• 6 months -1 year working experience in data analytics code and data extraction/reporting Knowledge and Skills

• Proficient in MS: Excel, Word, PP, Outlook and Access

• Standard Data storage reading/writing: SQL, flat files including CSV

• GLM modelling and Machine learning techniques

• BI and Big Data tools would be an advantage: Hadoop, MapReduce, Hive, Pig, Data streaming

• Data modelling

• Data storage and transformation

• Database design and management

• Architecture and Infrastructure management and enablement

• Data Science solutions for Big Data problems.

• Data governance and security

• MIS and reporting

• Business modelling and feature engineering Personal Attributes Decision quality - Contributing independently Optimises work processes - Contributing independently Plans and aligns - Contributing independently Tech savvy - Contributing dependently Communicates effectively - Contributing independently Nimble learning - Contributing independentlyCore Competencies Being resilient - Contributing independently Collaborates - Contributing independently Cultivates innovation - Contributing independently Customer focus - Contributing independently Drives results - Contributing independentlyBuild a successful career with us

We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.Turnaround time

The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

**Cloisng date:**Our commitment to transformation

The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.