Senior Data Scientist

2 weeks ago

Bellville, Western Cape, South Africa Santam Full time
Involvement in engagement with stakeholders to understand their business challenges and advise on practical analytics solutions
Collaborate with key stakeholders within the data value chain, external and internal, to ensure that the appropriated data sources and data structures are in place for building analytics solutions
Research, develop and implement appropriate statistical / mathematical / machine learning models as needed
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
To generate and maintain actuarial data assets and make these available to the rest of the organization
Develop and maintain outstanding data from the Analytical Base Table and to utilize this to develop predictive models, assist other Business Units in doing diagnostic and descriptive analytics
Ensure automation of data assets delivered timeously
Use advanced analytics techniques to solve business problems in cooperation with business units
Seek out initiatives to enhance Santam's capability in the Data Science field
Assist users across the group to make use of the data science workbench

SKILLS
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
Curiosity

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
Financial acumen

COMPETENCIES
Client Focus
Collaborates
Cultivates Innovation
Drives results
Flexible and adaptable
IT Data Analysis
Data Collection
Advanced analytics to address business requirements
New technologies and methodologies
Stakeholder management

ABOUT THE COMPANY
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.

Our success is rooted in our passion for our clients and everything we do is centered on our delivery of Insurance Good and Proper.

We're about people.

People drive our business so it follows that we want to recruit the best people possible whether they work for us permanently or for a short time as temporary employees.

At Santam we are committed to transformation and embracing diversity.

This commitment is what drives us to achieve a diverse workplace with employment equity as a key goal to create an inclusive workforce, representative of the demographics of our society.

In achieving our employment equity goals we give preference to applicants from the designated groups in alignment with the Divisions Employment Equity targets.

Should you be aware of a qualified individual, please pass this vacancy on to them.

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