Data Scientist

PBT Group has an opportunity for Data Scientist for a project in Cape Town.

Duties :

• Design, build, test, and deploy complex machine learning and Generative AI models and algorithms that drive analytical solutions across the organisation.
• Collaborate with translators and understand business problems to implement scalable and sustainable solutions.
• Coordinate with business intelligence, Digital Specialists and Data Engineers to deliver holistic analytics solutions.
• Support translators in communicating the design, operation, and output of the analytics models/solutions developed.
• Ensure appropriate analysis and regular solution maintenance testing over time.

Skills and Experience Required :

• 3+ years' experience in a statistical and/or data science role; executing ML-driven analytics use cases E2E (data, ML models, change management, execution, and monitoring) is a big advantage.
• Must have experience in machine learning, statistics, optimization, or related fields.
• Must understand key ML concepts such as ML model training and evaluation, boosting models, bias-variance trade-off, feature engineering, clustering approaches, A/B testing, leakage.
• Programming/coding experience is necessary; specific experience in Python is a plus.
• Experience working with large data sets, simulation/optimisation, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is a plus.
• AI knowledge.

Other skills :

• Business intuition: understand links between available data schema, modeling choices and business considerations.
• Open to work in agile environments with multiple stakeholders.
• Professional and service orientation attitude; team player.
• Good verbal and written communication.
• Quickly learn business needs and translate them into possible analytical solutions.
• Strong work ethic: ability to work at an abstract level and gain consensus.
• Able to build a sense of trust and relationship that creates a comfortable and effective workplace.
• Attitude to thrive in an accelerated environment.

Qualifications / Certification :

• Postgraduate degree in Mathematical Statistics/Data Science, Actuarial Science or Applied Mathematics or related technical discipline (Economics/Engineering/Computer Science acceptable with majors/research in statistics/data science); Masters’ degree is an advantage.