Current Vacancies at CLS Human Capital Specialists

Job Purpose:

• To contribute to the full software development life cycle, from design and development to testing and deployment.
• The role requires strong problem-solving abilities, a solid technical foundation, and the ability to collaborate across disciplines to deliver cutting-edge digital solutions.

REQUIREMENTS

Minimum education (essential):

• Bachelor’s Degree in Computer Engineering (BEng), Computer Science, or a related field

Minimum applicable experience (years):

• 5+ years of relevant experience in full stack development

Required nature of experience:

• Building responsive front-end interfaces using React and TypeScript/JavaScript
• Styling with Tailwind CSS and DaisyUI, with custom styling when needed
• Backend API development using FastAPI (Python)
• Working with SQL-based cloud data warehouses, particularly Snowflake
• Deploying and maintaining applications in Azure cloud environments
• Using Docker for environment consistency and deployment
• Using Git for version control in collaborative environments

Skills and Knowledge (essential):

• Solid understanding of full stack development practices
• Experience with modern front-end frameworks and RESTful APIs
• Familiarity with DevOps practices and cloud platforms (Azure preferred)
• Strong debugging and performance tuning skills
• Clear communication and collaboration skills

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Job Purpose:

• To lead and contribute to the development of high-quality backend services and interactive front-end applications.
• This includes building and maintaining secure, scalable, and efficient software systems using .Net and Angular, with Flutter experience seen as an advantage.
• The role also involves mentoring junior developers and collaborating with cross-functional teams to deliver solutions aligned with business goals. 

REQUIREMENTS

Minimum education (essential):

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Minimum applicable experience (years):

• 4+ years of professional experience in backend development with a strong focus on .NET technologies. 

Required nature of experience:

• Strong experience developing backend applications using .Net (C#)
• Building responsive front-end applications using Angular
• Working in agile teams and participating in code reviews
• Debugging, testing, and optimising web applications
• Exposure to cloud platforms (e.g., Azure)
• Integrating RESTful APIs and third-party services 

Skills and Knowledge (essential):

• Proficiency in .Net (C#), Angular
• Solid understanding of object-oriented programming and design patterns
• Experience with relational databases and SQL
• Source control management using Git
• Familiarity with CI/CD pipelines

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Job Purpose:  

• To analyse large volumes of structured and unstructured data, develop predictive and classification models, and create data-driven solutions aligned with business needs.
• The role also includes preparing and transforming data for modelling, deploying machine learning models, and collaborating across teams to drive innovation and deliver actionable insights. 

REQUIREMENTS 

Minimum education (essential): 

• Bachelor’s or Honours degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field.

Minimum applicable experience (years): 

• 2–4 years of experience in a data science role, ideally in a fast-paced or product-led environment. 

Key Responsibilities:

Data Analysis & Modelling 

• Analyse large volumes of structured and unstructured data to discover trends, patterns, and actionable insights. 
• Develop, train, and validate predictive and classification models (e.g., regression, decision trees, clustering, recommendation systems). 
• Work with time-series, transactional, and behavioural data to develop advanced insights.

Model Development & Deployment 

• Implement machine learning models using Python, R, or similar languages. 
• Collaborate with engineering teams to productionize models into applications and platforms. 
• Monitor and tune deployed models for performance and accuracy over time.

Data Preparation & Feature Engineering 

• Work with data engineers to define and extract relevant datasets. 
• Perform cleaning, transformation, feature extraction, and normalization of raw data. 
• Conduct exploratory data analysis (EDA) to support modelling or reporting.

Business Alignment 

• Work with business stakeholders to understand challenges and opportunities. 
• Translate business problems into data science solutions and communicate results clearly to non-technical teams. 
• Present findings through dashboards, visualizations, or reports.

Collaboration & Best Practices 

• Work in cross-functional Agile teams to deliver iterative value. 
• Document methodologies, models, and code for team reusability. 
• Contribute to the continuous improvement of data science practices and frameworks.

Skills and Knowledge (essential): 

Technical Skills 

• Proficient in Python (preferred) or R for data science and machine learning tasks. 
• Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch. 
• Solid SQL skills; familiarity with big data tools (e.g., Azure Synapse Analytics, Fabric) is a plus. 
• Experience with data visualization tools (e.g., Power BI, Tableau…). 
• Experience working with APIs, cloud environments (Azure, AWS, or GCP), and Git-based workflows. 

Soft Skills 

• Strong problem-solving skills and a proactive mindset. 
• Good communication and presentation abilities. 
• Team player with the ability to work independently when needed. 
• Attention to detail and a strong analytical mindset.

Desirable: 

• Experience with recommender systems, NLP, or computer vision. 
• Exposure to MLOps or CI/CD practices for machine learning. 
• Domain knowledge in banking, retail, or healthcare industries.  

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Job Purposes:

• The Project Manager will be responsible for planning, coordinating and executing projects across various departments to ensure timely delivery and alignment with business goals.
• This role plays a key part in helping the organisation manage and optimise data-driven solutions for clients across multiple industries.
• The ideal candidate will ensure clear communication, effective resource management, and successful project outcomes from initiation to completion.

REQUIREMENTS

Minimum education (essential):

• National Diploma or Bachelor’s degree in Project Management, Engineering, Information Technology, or a related field

Minimum applicable experience (years):

• 3–5 years in project management
• Exposure to cross-functional teams in modern, digital, or data-centric environments is an advantage

Required nature of experience:

• End-to-end project lifecycle management
• Coordinating cross-functional teams (e.g. developers, pharmacists, analysts)
• Managing budgets, timelines, and risk assessments
• Stakeholder engagement and reporting
• Experience working in compliance with industry-specific regulations (e.g., GxP, GMP, or similar standards)
• Experience using Azure DevOps for project tracking, deployment, and collaboration
• Experience using Jira for sprint planning, task management, and reporting

Skills and Knowledge (essential):

• Strong understanding of project management methodologies (Agile, Waterfall)
• Excellent organisational and time management skills
• High attention to detail and ability to multitask
• Strong leadership and communication skills
• Proficient in using Azure DevOps for project tracking and delivery
• Familiar with Jira for managing tasks and collaborating with teams

Other:

• Proficient in English and Afrikaans
• Own transport and valid driver's licence 

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Job Purpose:

• Responsible for capturing transactions and reconciling accounts
• Assist the finance department with general duties and overflow work
• Perform daily financial admin tasks and ensure accurate supplier processing

Requirements:

Minimum education required (Essential):

• National Senior Certificate (Matric)
• Relevant tertiary qualification in Accounting or Bookkeeping
• Finance diploma or short bookkeeping courses beneficial

Minimum Applicable Experience (Years):

• 2–3 years’ experience in credit reconciliations

Required Nature of Experience:

• Creditors processing and reconciliations
• General ledger reconciliations
• Capturing financial transactions
• Processing supplier invoices and petty cash
• Basic payroll or casual wage processing
• Using accounting software such as Xero, Pastel, or Sage

Skills and Knowledge (Essential):

• Sound accounting knowledge
• Strong administrative and filing skills
• Attention to detail and accuracy
• Proficient in MS Office (Excel, Word, Outlook)
• Communication and problem-solving skills
   

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Job Purpose:

• To manage group accounting functions, including financial reporting, reconciliations, budgeting, and overseeing intercompany transactions.

REQUIREMENTS:

• Minimum education (essential):
• Degree in Accounting or Finance

Minimum applicable experience (years):

• Completed 3 years of articles (SAICA or SAIPA).
• Minimum of 10 years' experience in accounting, including financial reporting, group consolidations, and intercompany transactions.

Required nature of experience:

• Minimum of 10 years' experience in accounting, including financial reporting and group consolidations.
• Extensive experience managing intercompany transactions, reconciliations, and eliminations.
• Strong knowledge of IFRS, local statutory requirements, and tax compliance (VAT and income tax).
• Proven experience with month-end and year-end closing processes across multiple entities.
• Expertise in preparing consolidated financial statements in compliance with IFRS.
• Hands-on experience in budgeting, forecasting, and financial analysis at a group level.

Skills and Knowledge (essential):

• Strong proficiency in IFRS and accounting principles.
• Advanced Excel skills and experience with accounting software.
• Excellent analytical and problem-solving skills.
• Strong interpersonal and communication skills to collaborate with both internal and external stakeholders.