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Data Scientist and Business Analyst

2 weeks ago

Bellville, Western Cape, South Africa Sanlam Full time
About the Role

We are seeking a highly skilled Data Scientist and Business Analyst to join our team at Santam. As a Data Scientist and Business Analyst, you will be responsible for leveraging statistical analysis, machine learning, and data modelling to drive business value.

Key Responsibilities:
  • Involvement in engagement with stakeholders to understand their business challenges and advise on practical analytics solutions.
  • Collaboration with key stakeholders within the data value chain, external and internal, to ensure that the appropriate data sources and data structures are in place for building analytics solutions.
  • Research, development, and implementation of appropriate statistical/mathematical/machine learning models as needed.
  • Maintenance of up-to-date knowledge of latest technology trends.
  • Effective communication of results and ideas to key decision makers.
  • Generation and maintenance of actuarial data assets and making these available to the rest of the organization.
  • Development and maintenance of outstanding data from the Analytical Base Table and utilization of this to develop predictive models, assisting other Business Units in doing diagnostic and descriptive analytics.
  • Automation of data assets delivered timeously.
  • Application of advanced analytics techniques to solve business problems in cooperation with business units.
  • Pursuit of initiatives to enhance Santam's capability in the Data Science field.
  • Assistance to users across the group in making use of the data science workbench.
Required Skills and Qualifications:
  • Strong programming skills (SQL essential, Python and/or R highly desirable, Spark, Java).
  • Experience with common data science toolkits, such as R, Hadoop, Scala, RapidMiner, Alteryx, SAS, SPSS etc. highly desirable.
  • Experience in Data integration.
  • Machine learning / Artificial Intelligence and Statistical algorithm development essential.
  • Experience with Big Data platforms highly desirable.
  • Experience in Data management and integration such as Ralph-Kimbal dimensional modelling (Star-schema model) or Bill Inmon Snow-flaking model essential.
  • Business acumen: Enterprising & commercial thinking; keeps aware of corporate markets and the state of competitors, identifies business opportunities, views issues in terms of costs, profits, markets and added value.
  • Statistical analysis: Data scientists must have a strong foundation in statistical analysis to effectively identify patterns, trends, and relationships within data.
  • Programming: Proficiency in programming languages such as Python and R is essential for data scientists to analyse data and build predictive models.
  • Data wrangling: Data scientists must be able to gather, clean, and pre-process data to ensure its accuracy and reliability.
  • Machine learning: Knowledge of machine learning algorithms and techniques is necessary to build predictive models and make data-driven decisions.
  • Data visualization: Data scientists should have the ability to create clear and effective visualizations to communicate insights and findings to stakeholders.
  • Communication.
  • Problem-solving.
  • Creativity.
Qualification and Experience:
  • B. Degree in Quantitative Management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable).
  • 7 + years practical experience in an analytical/quantitative environment.
About Us

Santam is the market leader in the general insurance industry in Southern Africa. We are a large, diversified, expanding and transforming company and whilst based in South Africa, we are rapidly moving into a number of emerging markets, both in Africa and Asia.

We are committed to transformation and embracing diversity, aiming to create an inclusive workforce representative of the demographics of our society. Our success is rooted in our passion for our clients, and everything we do is centered on delivering Insurance Good and Proper.