Lead Data Scientist - Predictive Analytics

Placements24; Randburg; Ibrido; ZAR 1.200.000 - 1.800.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health & dental coverage

Vision insurance

Retirement savings plan

Professional development

Descrizione del lavoro

Placements24 is seeking a Lead Data Scientist in Randburg, Gauteng, to guide an analytics team in delivering end-to-end predictive models for the insurance sector. You will drive model development, validation, deployment, and stakeholder communication in a hybrid work setting.

You will mentor researchers, translate business needs into analytics solutions, oversee project timelines, and stay ahead of ML innovations to ensure scalable, robust outcomes that create measurable business impact.

Competenze

• Master's or PhD in Data Science, CS, Statistics, Mathematics or related field.
• Minimum 8 years in data science with at least 3 years in leadership or mentoring.
• Strong coding in Python or R with ML libraries like scikit-learn, TensorFlow, PyTorch.
• Experience with big data tech (Spark/Hadoop/Hive) and SQL.
• Good statistical knowledge, experimental design and A/B testing.

Mansioni

• Lead and mentor a team of data scientists.
• Design and deploy end-to-end data science solutions.
• Develop and apply ML algorithms (regression, classification, clustering, DL).
• Work with large datasets using Spark/Hadoop ecosystems.
• Collaborate with stakeholders to translate business needs into analytics projects.

Conoscenze

Python

R

Machine Learning

Leadership

SQL

Formazione

Master's degree

PhD

Strumenti

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Hive

Descrizione del lavoro

About the Role

Our client, a leader in data-driven innovation within the insurance sector, is seeking an accomplished Lead Data Scientist to join their advanced analytics team in Randburg, Gauteng . This senior role requires a strategic thinker with extensive experience in developing and deploying sophisticated predictive models to solve complex business challenges. You will lead a team of talented data scientists, guiding them through the entire data science lifecycle, from data exploration and feature engineering to model building, validation, and production deployment. The ideal candidate will possess a deep understanding of machine learning algorithms, statistical modeling, and big data technologies, with a proven ability to translate business requirements into actionable data science solutions. This is a fantastic opportunity to shape the analytical capabilities of a forward-thinking organization and drive significant business impact. We are looking for an inspiring leader who can mentor and elevate the performance of their team in Randburg . The role involves a combination of on-site and remote work.

Key Responsibilities

Lead and mentor a team of data scientists in developing and deploying advanced predictive models for the insurance industry in Randburg, Gauteng . Design and implement end-to-end data science solutions, including data ingestion, cleaning, feature engineering, model training, and validation. Develop and apply a range of machine learning algorithms (e.g., regression, classification, clustering, deep learning). Work with large, complex datasets using big data technologies (e.g., Spark, Hadoop). Collaborate with business stakeholders to identify opportunities for data science applications and translate business needs into analytical projects. Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences. Stay abreast of the latest advancements in data science, machine learning, and AI. Ensure the quality, scalability, and robustness of deployed models. Contribute to the strategic direction of the data science function. Manage project timelines and resources effectively.

Requirements

A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. A minimum of 8 years of experience in data science, with at least 3 years in a leadership or mentoring role. Proven expertise in developing and deploying predictive models in a business context. Strong proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with big data technologies (e.g., Spark, Hadoop, Hive) and SQL. Solid understanding of statistical concepts, experimental design, and A/B testing. Excellent analytical, problem-solving, and critical thinking skills. Strong leadership, communication, and stakeholder management abilities. Experience within the insurance or financial services sector is highly desirable. Ability to work effectively in a hybrid environment in Randburg .

Benefits

• Comprehensive health, dental, and vision insurance are provided, along with a generous retirement savings plan.
• Significant opportunities for professional development, including attendance at leading data science conferences and advanced training, are available.
• You will join a collaborative and innovative team environment, working on challenging and impactful projects.
• The company actively promotes a healthy work-life balance.