Lead Data Scientist - Financial Analytics

Placements24; Centurion; Sur place; ZAR 1 500 000 - 2 100 000; Plein temps

Avantages offerts par ce poste

Performance-based bonus

Medical aid

Retirement fund contributions

Professional growth opportunities

Résumé du poste

Placements24 is seeking an experienced Lead Data Scientist to spearhead financial analytics in Centurion. This on-site role leads a team of data scientists, designs advanced ML models, and translates data insights into strategic decisions for a prominent financial entity.

You will collaborate with stakeholders, build robust data pipelines, and stay at the forefront of ML, AI, and big data technologies to deliver business impact.

Qualifications

• Master's or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
• Minimum of 6 years of experience in data science, with at least 2 years in a leadership or team lead capacity.
• Proven expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL).
• Strong analytical and problem‑solving skills; excellent communication and leadership abilities.

Responsabilités

• Lead design, development, and deployment of predictive models and ML algorithms for financial forecasting, risk assessment, and customer analytics.
• Manage and mentor a team of data scientists, providing technical guidance and fostering collaboration.
• Collaborate with business stakeholders to identify data opportunities to improve outcomes.
• Develop and maintain robust data pipelines and analytical infrastructure.
• Perform complex data analysis, identify trends, and derive actionable insights from large datasets.
• Stay current with cutting-edge research and technologies in data science and AI.
• Communicate findings and recommendations to technical and non-technical audiences.
• Ensure ethical and responsible use of data and AI models.

Connaissances

Leadership

Team mentoring

Communication

Analytical thinking

Problem solving

Formation

Master's or PhD in CS/Statistics/Data Science

Outils

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

NoSQL

Description du poste

About the Role

Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their financial analytics initiatives in Centurion, Gauteng. This is an on-site role, fostering close collaboration and team synergy. You will be responsible for designing and implementing advanced machine learning models, driving data-driven decision‑making across the organization, and leading a team of talented data scientists. The role requires a deep understanding of statistical modeling, machine learning algorithms, and big data technologies, coupled with a strong business acumen to translate complex data insights into actionable strategies. This is a crucial position for shaping the future of data intelligence within a prominent financial entity.

Key Responsibilities

• Lead the design, development, and deployment of predictive models and machine learning algorithms for financial forecasting, risk assessment, and customer analytics.
• Manage and mentor a team of data scientists, providing technical guidance and fostering a collaborative environment.
• Collaborate with business stakeholders to identify opportunities for leveraging data to improve business outcomes.
• Develop and maintain robust data pipelines and analytical infrastructure.
• Perform complex data analysis, identify trends, and derive actionable insights from large, diverse datasets.
• Stay current with cutting‑edge research and technologies in data science, machine learning, and artificial intelligence.
• Communicate findings and recommendations effectively to technical and non‑technical audiences.
• Ensure the ethical and responsible use of data and AI models.

Requirements

• Master's or PhD degree in Computer Science, Statistics, Data Science, or a related quantitative field.
• Minimum of 6 years of experience in data science, with at least 2 years in a leadership or team lead capacity.
• Proven expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL).
• Strong analytical and problem‑solving skills.
• Excellent communication and leadership abilities.
• Experience in the financial services industry is highly desirable.

Benefits

• Attractive salary and performance‑based bonus structure.
• Comprehensive medical aid and retirement fund contributions.
• Significant opportunities for professional growth and leadership development.
• Exposure to innovative projects and advanced analytical technologies.
• A dynamic and supportive work environment fostering collaboration.
• Access to extensive datasets and computational resources.