Data Scientist

SoluGrowth; Boksburg; On-site; ZAR 30 000 - 70 000; Full time

Job summary

An established industry player is seeking a Data Scientist to join their innovative team. In this role, you will collect and analyze large datasets, applying data science techniques to solve complex financial challenges. Your expertise will contribute to impactful business decisions and help develop predictive models that forecast financial metrics. Collaborating with talented professionals across departments, you will leverage your analytical skills and technical knowledge to drive value for clients. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• 1-2 years of experience in Data Science and machine learning is advantageous.
• Understanding of statistical concepts and machine learning algorithms.

Responsibilities

• Collect, analyze, and interpret large datasets to extract valuable insights.
• Develop and implement predictive models to forecast financial metrics.

Skills

Data Analysis

Machine Learning

Statistical Techniques

Python

R

SAS

Data Preparation

Predictive Modeling

Education

Bachelor’s degree in Data Science

Master’s degree in Data Science

Tools

AWS

Azure

Data Warehousing Tools

Job description

Solugrowth (PTY) Ltd

2025/03/04 Gauteng

Job Reference Number: SG-532

Department: BPO R2R - FA Resourcing

Industry: Information Technology

Job Type: Permanent

Positions Available: 1

Salary: Market Related

Solugrowth is looking for a Data Scientist

Job Description

• Collect, analyze, and interpret large datasets to extract valuable insights.
• Be a vital member of our financial consulting team, leveraging analytical skills and technical expertise to solve complex financial challenges and contribute to impactful business decisions.
• Apply data science techniques to real-world financial problems and develop innovative solutions.
• Collaborate with talented team members across various departments to add value to clients.
• Clean, prepare, and analyze large datasets from sources such as banks, insurance companies, and investment firms.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Use statistical techniques (e.g., regression, hypothesis testing) to assess relationships between variables.
• Utilize Python, R, and SAS for data analysis, extracting actionable insights, and presenting findings to stakeholders.
• Work with cross-functional teams to integrate data science solutions into business strategies and workflows.
• Develop and implement predictive models (e.g., machine learning algorithms) to forecast financial metrics such as risk, returns, and customer behavior.
• Evaluate model performance and refine models as needed.

Job Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field; Master’s preferred. 1-2 years of experience in Data Science and machine learning is advantageous.
• Understanding of statistical concepts and machine learning algorithms.
• Familiarity with cloud platforms (e.g., AWS, Azure) and data warehousing tools.
• Knowledge of financial and predictive modeling techniques (e.g., time series analysis, option pricing).
• Knowledge of deep learning frameworks is a plus.