Data Scientist - Financial Services

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Retirement fund

Training opportunities

Leading data science conferences

Job summary

Placements24 in Sandton is seeking a Data Scientist to join a leading financial services analytics team. You will apply advanced statistical modeling, machine learning, and data mining to extract actionable insights from complex datasets and develop predictive models for risk management, fraud detection, and customer segmentation.

Collaborating with business stakeholders, you will translate analytical requirements into practical data science solutions and communicate findings clearly to both

Qualifications

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience as a Data Scientist or in a similar quantitative role.
• Strong proficiency in Python or R and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and large relational databases.
• Proven ability to apply statistical modeling and ML techniques to real-world business problems.
• Excellent analytical, problem-solving, and communication skills; financial services experience is advantageous in Sandton.

Responsibilities

• Develop, implement, and validate predictive models using ML algorithms (regression, classification, clustering, deep learning).
• Perform EDA, feature engineering, and data visualization to uncover trends.
• Clean, transform, and prepare large datasets for analysis and modeling.
• Collaborate with stakeholders to define analytical requirements and translate to data science solutions.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay current with advances in data science, ML, and AI.

Skills

Python

R

SQL

Data visualization

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Education

Master's or Ph.D. in Data Science/Statistics/CS/Mathematics

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL databases

Job description

About the Role

Our client, a leading institution in the financial services sector, is seeking a talented Data Scientist to join their innovative analytics team in Sandton. This role involves leveraging advanced statistical modeling, machine learning, and data mining techniques to extract actionable insights from complex datasets. You will play a crucial role in driving data-informed decision-making, enhancing customer understanding, and developing predictive models for various business applications, including risk management, fraud detection, and customer segmentation. This is a prime opportunity to work with cutting-edge data science tools and methodologies in a dynamic financial environment.

Key Responsibilities

• Develop, implement, and validate predictive models using machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Perform exploratory data analysis, feature engineering, and data visualization to uncover trends and patterns.
• Clean, transform, and prepare large, complex datasets for analysis and modeling.
• Collaborate with business stakeholders to define analytical requirements and translate them into data science solutions.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience as a Data Scientist or in a similar quantitative role.
• Strong proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and working with large relational databases.
• Proven ability to apply statistical modeling and machine learning techniques to solve real-world business problems.
• Excellent analytical, problem-solving, and communication skills, with experience in the financial services industry being a significant advantage in Sandton.

Benefits

• Highly competitive annual salary and substantial performance-based bonuses.
• Comprehensive health insurance, retirement fund, and other premium benefits.
• Opportunities for advanced training, certifications, and attending leading data science conferences.
• Access to state-of-the-art data analytics platforms and tools.
• A stimulating and collaborative work environment focused on innovation and career growth.