Data Scientist

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

Benefits offered by this job

Medical aid

Retirement fund

Professional development

Job summary

Placements24 is seeking a highly analytical Data Scientist for a leading financial services firm in Sandton. You will extract insights from complex datasets, develop predictive models, and drive data-driven decisions, collaborating across departments to deliver strategic initiatives.

The role requires strong statistical/ML expertise, Python or R proficiency with key libraries, SQL experience, and familiarity with big data tools. A dynamic, growth-oriented environment awaits.

Qualifications

• 5+ years of professional experience as a Data Scientist or similar analytical role.
• Proficiency in Python or R with libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistics, ML algorithms, and data modeling.
• Experience with SQL and relational databases.
• Familiarity with big data technologies (Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and preprocess large and complex datasets from various sources.
• Develop and implement advanced statistical models and ML algorithms for predictive analysis, classification, and clustering.
• Design and conduct A/B tests and experiments to evaluate data-driven strategies.
• Visualize and communicate findings to technical and non-technical stakeholders through reports.
• Collaborate with engineering teams to deploy models into production environments.
• Stay abreast of latest trends in data science, ML, and AI.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Tools

Spark

Hadoop

Job description

About the Role

Our client, a leading financial services firm in the heart of Sandton , is seeking a highly analytical and innovative \"Data Scientist\" to join their expanding data analytics team. You will be responsible for extracting valuable insights from large, complex datasets to drive business decisions, develop predictive models, and uncover new opportunities. This role requires a strong foundation in statistical modeling, machine learning, and programming. You will collaborate with various departments to understand their data needs and translate them into actionable data-driven solutions, contributing significantly to strategic initiatives within one of Gauteng 's premier business hubs.

Key Responsibilities

• Collect, clean, and preprocess large and complex datasets from various sources.
• Develop and implement advanced statistical models and machine learning algorithms for predictive analysis, classification, and clustering.
• Design and conduct A/B tests and experiments to evaluate the effectiveness of data-driven strategies.
• Visualize and communicate complex findings and insights to technical and non-technical stakeholders through reports and presentations.
• Collaborate with engineering teams to deploy models into production environments.
• Stay abreast of the latest trends and advancements in data science, machine learning, and artificial intelligence.

Requirements

• Minimum of 5 years of professional experience as a \"Data Scientist\" or in a similar analytical role.
• Proficiency in programming languages such as Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical concepts, machine learning algorithms, and data modeling techniques.
• Experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive annual salary and performance-based bonuses.
• Full-time position with significant career growth potential.
• Comprehensive medical aid, retirement fund, and other financial benefits.
• Generous allocation for professional development, conferences, and continuous learning.
• A sophisticated and dynamic work environment in Sandton .
• Opportunity to work on impactful projects within the financial sector.