Data Scientist Talent Pool

Bsky; Johannesburg; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Flexible working arrangements

Professional development opportunities

Job summary

BlueSky is seeking a highly skilled Data Scientist to join our growing team, delivering advanced analytics and ML solutions for large corporate clients.

You will work across cloud-native tools, collaborate with diverse teams, and translate business challenges into scalable data-driven outcomes. The role emphasizes mentorship, knowledge sharing, and staying ahead of trends in data science and cloud computing.

Qualifications

• Bachelor's or Master's in data science, CS, statistics, mathematics, or related field.
• 4–8 years of experience in data science or advanced analytics roles.
• Strong proficiency in Python or R with data science libraries (scikit-learn, pandas, TensorFlow, PyTorch).
• Solid understanding of ML algorithms, statistical modeling, and data visualization.
• Experience with cloud platforms (AWS, Azure, or GCP) and SQL.
• Consulting or client-facing experience is a strong advantage.

Responsibilities

• Collaborate with clients and internal teams to translate business challenges into data science problems.
• Design, develop, and deploy ML models and statistical analyses.
• Build scalable data pipelines on cloud platforms (AWS/Azure/GCP).
• Communicate findings clearly to technical and non-technical stakeholders.
• Mentor junior team members and contribute to knowledge sharing.

Job description

We are BlueSky - Africa's largest Salesforce partner, and a leading design-led digital transformation consultancy, and we're looking for great people to work with.

We're on a mission to be the biggest and best (in the eyes of our people, our competitors and our clients) Cloud Consulting company in Africa by 2030, and we need authentic, talented people to help us reach this goal.

With offices in South Africa and Mauritius, our teams are made up of diverse individuals with a variety of backgrounds and cultures, and we promote diversity and creativity in the way we deliver solutions for our clients.

Role Overview

We are seeking a highly skilled and motivated Data Scientist to join our growing team. You will work on diverse projects for large corporate clients, leveraging advanced analytics, machine learning, and cloud-native tools to deliver actionable insights and scalable solutions.

Key Responsibilities

• Collaborate with clients and internal teams to understand business challenges and translate them into data science problems.
• Design, develop, and deploy machine learning models and statistical analyses.
• Work with cloud platforms (e.g., AWS, Azure, GCP) to build scalable data pipelines and solutions.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Mentor junior team members and contribute to knowledge sharing within the team.
• Stay up to date with the latest trends and technologies in data science and cloud computing.

Required Qualifications & Experience

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 4-8 years of experience in data science or advanced analytics roles.
• Strong proficiency in Python or R, and experience with data science libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).
• Solid understanding of machine learning algorithms, statistical modeling, and data visualization.
• Experience working with cloud platforms (preferably AWS, Azure, or GCP).
• Familiarity with SQL and data engineering concepts.
• Proven ability to work in a consulting or client-facing environment is a strong advantage.

Preferred Skills

• Experience with MLOps and deploying models in production.
• Knowledge of big data tools (e.g., Spark, Databricks).
• Exposure to business domains such as finance, retail, or telecommunications.
• Strong communication and stakeholder management skills.

Why Join BlueSky?

• Work on high-impact projects with top-tier clients.
• Be part of a collaborative, innovative, and cloud-first team.
• Access to continuous learning and professional development.
• Flexible working arrangements and a supportive culture.