Data Scientist (Associate & Intermediate)

BigTalent; Cape Town; On-site; ZAR 500,000 - 900,000; Full time

Job summary

BigTalent is seeking an Associate/Intermediate Data Scientist for client-facing consulting projects in South Africa. You will work on data science models, data wrangling, analytics, and data engineering while deploying solutions for diverse client challenges.

Be ready to apply strong Python coding, an engineering mindset, and cloud experience in a dynamic consulting environment with cross-functional teams.

Qualifications

• Bachelor's or higher degree in a relevant field (Engineering, Computer Science, Data Science etc.).
• Proven experience in applied data science, data engineering and analytics with strong Python coding.
• Familiarity with predictive modeling, deployment and cloud technologies.
• Ability to work in a dynamic consulting environment with constant change and chaos.
• Strong collaboration and teamwork skills in a fast-paced team.
• Client-facing experience and ability to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Work on data science model building, data engineering, analytics and data wrangling.
• Deliver and implement solutions for clients in consulting projects.
• Engage confidently in client-facing roles and understand client needs.
• Apply an engineering mindset and mathematical skills to deploy models.
• Demonstrate solid coding proficiency in Python and good software practices.
• Collaborate with clients to address data challenges and opportunities.

Skills

Python

Data science

Data engineering

Client-facing

Cloud technologies

Communication

Teamwork

Consulting mindset

Education

Bachelor's degree in Engineering/CS/Data Science

Job description

Data Scientist (Associate & Intermediate)

About the job Data Scientist (Associate & Intermediate)

A fast-growing consulting company with projects spanning Britain, the USA, and South Africa is looking for an intermediate Data Scientist. Their clientele includes diverse industries such as retail, financial services, anti-fraud and health tech.

This role includes a focus on data science projects, and delivering and implementing solutions for clients. The successful candidate will thrive in a consulting culture, be excited about constant growth and changes, and have a proactive engineering mindset.

Practical Application: Implement small optimizations using solutions that can provide a solution to client challenges.

Engineering Mindset: Approach problem-solving with a strong engineering lens, leveraging mathematics skills to develop and deploy predictive models.

Technical Skills: Demonstrate solid coding proficiency, particularly in Python, and adhere to good software engineering practices.

Client-Facing Work: Engage confidently in client-facing roles, contributing to consulting projects and collaborating with clients to understand and address their needs.

Data Science Work: Work on data science model building, data engineering, analytics, and data wrangling etc.

Cloud Experience: Demonstrate experience in deploying solutions on cloud platforms.

Requirements:

• Bachelor's or higher degree in a relevant field (Engineering, Computer Science, Data Science etc.)
• Proven experience in applied data science, data engineering, and analytics, with a strong coding base in Python
• Familiarity with predictive modeling, deployment, and cloud technologies
• Ability to work in a dynamic consulting environment, embracing constant change and chaos
• Strong collaboration and teamwork skills, with the ability to work effectively in a diverse and fast-paced team
• Client-facing experience and the ability to communicate technical concepts to non-technical stakeholders