Role overview
This position is for a mid-level Data Scientist with a focus on the Retail business. The successful candidate will play a key role in designing, developing and improving scalable data science solutions and analytical products. The role requires a strong blend of data science, data architecture, data engineering and ML engineering capability, with a focus on innovation, product development and delivering practical business value.
The successful candidate will work closely with stakeholders across the Lightstone Group, as well as with clients outside the group. This will provide broad exposure to a wide range of business challenges, data environments and solution opportunities, while creating strong opportunities to learn new skills and contribute to impactful, data-driven outcomes.
The successful candidate will be responsible for contributing to a range of projects and team initiatives, including:
- Designing and improving data architectures that support advanced analytics, machine learning solutions and scalable product delivery.
- Building, optimising and maintaining robust data pipelines for the ingestion, transformation and delivery of data across multiple internal and external sources.
- Developing, deploying and maintaining machine learning models and analytical solutions in collaboration with business and production stakeholders.
- Investigating and evaluating new data sources, technologies and approaches to unlock new commercial opportunities and strengthen existing products.
- Driving innovation through prototyping and development of new data-driven solutions, products and features.
- Translating business problems into technical solutions and partnering with stakeholders to deliver practical, high-impact outcomes for internal and external clients.
- Supporting and improving existing predictive models, analytical products and decision-support tools.
- Contributing to best practices in code quality, documentation, solution design and deployment processes.
- Providing input into technical direction, architecture decisions and continuous improvement within the team.
- Sharing knowledge through peer coaching, technical discussions, team presentations and broader business updates.
Requirements
Qualifications / Requirements
- BSc Honours / MSc in Statistics, Mathematics, Computer Science, Data Science, Engineering or a related field preferred
Additional Requirements
- Relevant postgraduate qualification advantageous
Experience
- Minimum 3 years of relevant experience in data science, analytics engineering, machine learning engineering or a related field
- Proven experience in designing data solutions, building data pipelines and delivering machine learning or advanced analytics projects in production environments
- Experience in developing innovative data products, analytical solutions or commercially valuable proof-of-concepts
Technical skills
- Very high proficiency in SQL, Python and Power BI
- Strong experience in data architecture and data pipeline design
- Strong experience in machine learning engineering, including model development, deployment and maintenance
- Strong ability to work with, analyse, interpret and communicate complex data
- Experience designing scalable data workflows and integrating multiple data sources
- Solid understanding of statistical concepts and machine learning techniques, with practical application in business environments
- Experience with data modelling, ETL/ELT processes and performance optimisation
- Ability to prototype and productionise analytical and machine learning solutions
- Familiarity with software engineering best practices, version control and testing principles
- Proficient in Microsoft Office suite, with advanced Excel advantageous
- Professional approach to report writing, documentation and technical communication
- Familiarity with Agile concepts and their application in a data science and product development environment
- Experience working with logistical and/or geographic data and related analytical use cases will be advantageous
Non-technical skills
- Strong problem-solving ability and a solutions-driven mindset
- Growth mindset with a positive outlook on life, work and other people
- Passionate about continuous learning, innovation and finding new ways to create business value
- Ability to think strategically while remaining hands-on in delivery
- Client-centric approach when consulting to internal and external stakeholders
- Communicate with confidence, clarity and credibility
- Ability to work well in a team as well as independently
- Ability to estimate work accurately, prioritise effectively and deliver to deadlines
- Strong attention to detail and a passion for data, analytics and innovation, especially in the retail and/or insurance industry
- Comfortable with influencing technical and non-technical stakeholders across teams
Benefits
- Professional Development/Study Assistance
- Training and Progression: There is a strong emphasis on skill development, career progression, and "care and growth"
- Flexibility/Hybrid working arrangement
- Office Perks: In-office benefits have included "wellness days" and "Braai month" celebrations
- Leave: 25-days annual leave entitlement
- 2-month paid sabbatical every 5 years of continued service
- Employee Wellness Programme
Company Overview:
Lightstone is an intelligent solutions company with strong, industry- specific expertise and core capabilities in data management, GIS, analytics and software development. We specialize in delivering integrated, online knowledge solutions, batch and real-time data quality solutions, and a broad range of geo-spatial and analytic projects to a range of property, business to consumer, government and financial services clients.
We hire exceptional people and provide them with the environment where they can excel. Our non-corporate culture encourages flexibility, collaboration and innovation. We pride ourselves in our core values to Encourage Participation, Respond to Changing Needs and Win Together, which are reflected in each development, project, product or service we undertake to deliver.