Intermediate Data Scientist - CPT

We Want You:

Do you have experience analysing complex datasets, strong statistical analysis and machine learning skills, and can build predictive models to improve business processes? Join us as an Intermediate Data Scientist in our Cape Town office, where you will apply advanced techniques to solve business problems and drive data-driven strategies. You’ll work with structured and unstructured data, collaborate with cross-functional Teams, and turn raw data into clear, actionable insights that shape business outcomes. This role demands technical expertise, sharp analytical thinking, sound statistical knowledge, and excellent problem-solving skills. If you’re ready to make an impact and work with diverse Teams to deliver real results, apply now.

You Bring:

• At least 2-5 years in data science or related field
• At least 3-5 years’ experience within a development environment
• Strong problem-solving and analytical thinking
• Good written and verbal communication skills.
• Strong attention to detail.
• Strong collaboration and teamwork skills

What You’ll Do:

Job Responsibilities:

Data Analysis and Processing:

• Collect, clean and process raw data for analysis.
• Perform exploratory data analysis (EDA) to identify trends and insights.
• Use statistical methods to summarise key insights from the data.
• Process and transform data to make it suitable for analysis and modelling.
• Ensure data quality by handling missing values, duplicates and inconsistencies.

Machine Learning and AI:

• Implement AI and machine learning algorithms and techniques to solve business problems and improve model performance.
• Develop and fine-tune predictive models using statistical and machine learning techniques.
• Deploy and monitor models in production environments.

Data-Driven Insights and Decision Support:

• Analyse and translate data findings to generate insights that support business decision-making.
• Collaborate with stakeholders to define and implement data-driven strategies, providing data-backed risk assessments for business operations.
• Evaluate different analytical approaches to determine the best strategy for a given problem.
• Participate in knowledge-sharing sessions and contribute to team discussions on data-driven strategies.

Technical Development and Innovation:

• Stay updated on industry trends, tools, and best practices in AI, ML, and Data Science.
• Contribute to the continuous improvement of data science methodologies and frameworks.
• Continuously improve technical skills, develop innovative solutions, and stay updated with advancements in data science, AI, and machine learning.
• Collaborate with software engineers to add AI capabilities to company products.

Behavioural Outputs:

Adaptability and Resilience:

• Demonstrate flexibility and openness to change, adapting to evolving business needs and priorities.
• Maintain a positive attitude and proactive mindset in the face of change, embracing new technologies and methodologies with a growth mindset.
• Collaborate effectively with diverse teams, maintaining a positive attitude in dynamic and fast-changing environments.

Decision-Making Quality:

• Make confident, timely, fact-based decisions drawing on a broad range of resources through collaboration with others.
• Involve the team in decision-making processes, ensuring transparency and alignment with project goals.
• Consider both short-term and long-term implications when making decisions, supporting the team’s and organisation’s sustainability.
• Base decisions and evaluations on a careful, systematic review of relevant facts and information.
• Able to logically defend and explain judgements and decisions.
• Ensures others understand the decision before moving forward.

Develops Talent:

• Collaboratively set performance goals with team members, ensuring clarity around expectations and objectives.
• Provide structured, ongoing feedback to support team members’ professional and personal growth.
• Maintain a forward-looking skills matrix to ensure team members have opportunities to learn and advance their careers.
• Foster an environment of innovation, encouraging creative thinking and calculated risk-taking.
• Support the development of leadership skills within the team by identifying potential leaders and providing growth opportunities.

Resourceful and Improving:

• Find innovative ways, following processes, to overcome challenges by effectively leveraging available tools, data and methodologies.
• Continuously seek new techniques, best practices and emerging trends in Data Science, AI and machine learning.
• Generate new ideas, challenge the status quo, take risks, support change and encourage innovation.
• Actively contribute to team learning by sharing insights, tools and approaches that improve overall performance.

Living our Spirit:

• Encourage open communication and collaboration among team members.
• Foster an inclusive environment where diverse perspectives are valued.
• Recognise and celebrate team achievements and successes.
• Promote a culture of innovation and experimentation within the team.
• Emphasise the importance of continuous learning and personal growth.
• Encourage team members to explore new technologies, tools and methodologies.
• Embrace challenges as opportunities for growth and learning.
• Create a culture where team members feel empowered to voice their ideas and opinions.
• Promote a “raise your hand” mentality, where team members feel comfortable seeking help,
• sharing insights or suggesting improvements.
• Lead by example and demonstrate authenticity in your interactions with team members.
• Create a safe space for honest feedback and constructive criticism.
• Value authenticity over conformity and encourage team members to express their true selves.
• Provide opportunities for skill development, training and career growth for team leads and members.
• Offer mentorship and guidance to support the career aspirations of team members.

The Company We Keep:

At BET Software, we don't just recruit talent, we cultivate it. Our learning and development programmes, our various opportunities for growth, and our well-deserved incentives are what keep our All-Star Team the best amongst the rest.

Please note that only candidates who meet the stipulated minimum requirements will be considered.

If you have not been contacted within 30 days, kindly consider your application to be unsuccessful.