Home › Companies › Bsky › Data Scientist Talent Pool
Data Scientist Talent Pool
Bsky · Johannesburg, Gauteng, 2196, South Africa · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Bsky |
| Title | Data Scientist Talent Pool |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | Johannesburg, Gauteng |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-05-22 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Bsky. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Johannesburg. | Open |
| Department jobs | Active postings in Data Analytics. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Bsky |
| Source | 5a0bc5af-52c0-4ab9-9ccc-e8ec9ab0b223 |
| ATS provider | BambooHR |
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.
Full job record
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| Board ID | 5a0bc5af-52c0-4ab9-9ccc-e8ec9ab0b223 |
| Provider | bamboohr |
| Provider Job Key | 162 |
| Title | Data Scientist Talent Pool |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Johannesburg, Gauteng, 2196, South Africa |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Gauteng |
| City | Johannesburg |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://bsky.bamboohr.com/careers/162 |
| Apply URL | https://bsky.bamboohr.com/careers/162 |
| First Seen At | 2026-05-30 05:49:53Z |
| Last Seen At | 2026-06-06 10:24:32Z |
| Last Checked At | 2026-06-06 10:24:32Z |
| Last Changed At | 2026-05-30 05:49:53Z |
| Inactive At | — |
| Source Posted At | 2025-05-22 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=bsky/date=2026-06-06/2026-06-06T10-24-31-097Z-c9d5818cd19fc444876478411c8399ed47fa1ad0c8cf8bc6f91487b6b826c74c.json |
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"description": "<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold;\">Role Overview</span><br>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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold;\">Key Responsibilities</span><br>Collaborate with clients and internal teams to understand business challenges and translate them into data science problems.<br>Design, develop, and deploy machine learning models and statistical analyses.<br>Work with cloud platforms (e.g., AWS, Azure, GCP) to build scalable data pipelines and solutions.<br>Communicate findings and recommendations clearly to both technical and non-technical stakeholders.<br>Mentor junior team members and contribute to knowledge sharing within the team.<br>Stay up to date with the latest trends and technologies in data science and cloud computing.</p>\n<p><br><span style=\"font-weight: bold;\">Required Qualifications & Experience</span><br>Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.<br>4–8 years of experience in data science or advanced analytics roles.<br>Strong proficiency in Python or R, and experience with data science libraries (e.g., scikit-learn, pandas, TensorFlow, PyTorch).<br>Solid understanding of machine learning algorithms, statistical modeling, and data visualization.<br>Experience working with cloud platforms (preferably AWS, Azure, or GCP).<br>Familiarity with SQL and data engineering concepts.<br>Proven ability to work in a consulting or client-facing environment is a strong advantage.</p>\n<p><br><span style=\"font-weight: bold;\">Preferred Skills</span><br>Experience with MLOps and deploying models in production.<br>Knowledge of big data tools (e.g., Spark, Databricks).<br>Exposure to business domains such as finance, retail, or telecommunications.<br>Strong communication and stakeholder management skills.</p>\n<p><br><span style=\"font-weight: bold;\">Why Join BlueSky?</span><br>Work on high-impact projects with top-tier clients.<br>Be part of a collaborative, innovative, and cloud-first team.<br>Access to continuous learning and professional development.<br>Flexible working arrangements and a supportive culture.</p>",
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