Intermediate Data Scientist - Johannesburg - up to R800k …

A long-standing, well-established bank is seeking a highly analytical and proactive Intermediate

Data Scientist

to join their team. The ideal candidate will have strong expertise in working with structured and unstructured data, developing and deploying AI/ML solutions, and delivering actionable insights. This role requires an individual capable of independently identifying opportunities in data and taking end-to-end ownership of analytical projects.

Responsibilities

Develop, test, and deploy ML models (linear, 3-phased, deep learning) for real-time and batch analytics.

Work with unstructured data sources, including location data, images, voice notes, and text.

Conduct data mining to identify trends, patterns, and opportunities upfront.

Design and maintain dashboards (R Shiny, Dash, Power BI) for internal and stakeholder reporting.

Implement and monitor Responsible AI and ML Ops solutions for model governance.

Utilize big data technologies such as Hadoop, Spark (Python and R), I-Spark, and Kafka for processing and streaming large datasets.

Work with cloud platforms, preferably AWS, for data storage, processing, and analytics.

Collaborate with cross-functional teams and communicate findings effectively to technical and non-technical stakeholders.

Manage high-pressure projects with strict deadlines while ensuring data quality and accuracy.

Qualifications and Experience

Honours Degree in a related field (Statistics, Computer Science, Data Science, Mathematics, or equivalent)

Strong analytical skills with a track record of translating data into actionable insights.

Proficient in Python, R, and SAS.

Hands-on experience with Spark, Hadoop, Kafka, and real-time data streaming.

Experience with ML Ops and deploying AI-based solutions end-to-end.

Ability to work independently and proactively identify data opportunities.

Strong communication and presentation skills.

Familiarity with Confluence or similar collaboration/documentation tools.

Experience with dashboards and visualization tools (R Shiny, Dash, Power BI).

Demonstrated evidence of deployed AI/ML solutions in production.

The Reference Number for this position is

NG61113

which is a

Permanent Hybrid position

based in

Johannesburg

offering a cost to company of up to

R800k per annum

negotiable on experience and ability. Contact Nokuthula at



or call her on

011 463 3633

to discuss this and other opportunities.

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