Junior Data Scientist

AB InBev Africa; Sandton; On-site; ZAR 300,000 - 500,000; Full time

Job summary

A leading beverage company seeks a Junior Data Scientist to join its Digital Supply Chain team. The role involves analyzing data solutions, developing machine learning models, and collaborating with various stakeholders to enhance logistics and procurement functions. Candidates should possess a relevant degree and technical skills in data analytics to drive data-driven operational decisions.

Qualifications

• 3-year degree in a relevant field is required.
• Technical skills in PowerBI, Python, SQL, and data processes are essential.

Responsibilities

• Visualize data insights using PowerBI and analyze customer needs.
• Develop ML/AI models and ensure compliance with service standards.

Skills

PowerBI

Python

Excel

SQL

General Data Knowledge

Agile & Scrum

Business Analysis

Education

Relevant 3-year university degree in Logistics, Commerce, Engineering, Information Systems, Mathematics or related field

Job description

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?

The Key Purpose of this role is to be part of the Digital Supply Chain team and will be responsible for analysing and identifying Analytics solutions towards data-driven operations for business needs in the Logistics and Procurement functions across the Zone. The Junior Data Scientist will report to the Digital Supply Chain Product Owner in the Digital Supply Chain team and will be accountable for:

Enabling self-service reporting, Partnering with Logistics & Procurement stakeholders and teams to understand their requirement, document them and explore data-driven approaches of discovering patterns, meaningful relationships, root-cause analyses, exceptions and rules to provide inputs to solution design. Additionally, Work with end-users to understand business KPIs to be delivered, Enable delivery on agreed business requirements and Transforming how we engage with our customers and building the best Analytics landscape in Africa.

Key Roles and Responsibilities:

• Visualizing actionable insights out of large sets of diverse data using PowerBI
• Developing, testing and deploying ML/AI models models using cutting-edge Data Science Algorithms
• Evaluating model performance and monitor existing methodology and model accuracy
• Document model design that can be used to share with business and engineering for sign-off
• Analyzing the customer needs and finding the business solutions to address them using data analytics
• Creating the requirements in the form of user stories with appropriate acceptance criteria
• Groom the Product Backlog based on the prioritization provided by the Supply Chain Analytics Product Owner
• Explores data and discovers patterns, meaningful relationships, anomalies and trends to formulate business rules
• Identify soft & hard benefits of Analytics models, track and report on these to Zone & Global stakeholders
• Identify opportunities for new models that solve business problems
• Ensure data accuracy and consistent reporting by working with the BrewDat team to ensure all relevant data is ingested and readily available for new model development
• Manage the reporting landscape to ensure reports are refreshed timeously, used as agreed with stakeholders and decommissioned when no longer needed
• Ensure compliance with globally aligned service policies, procedures, standards, tools and operating plans. (As per agreed policies)
• As a squad member, responsible for collaboration and embracing the change of agile ways of work, ensuring team accountability and shared responsibility.
  
  

Key Attributes and Competencies:

• Passion for solving problems using data
• Excellent stakeholder management skills and experience
• Proven track record delivering within agreed timelines
• Well-articulated and structured communication skills is a mandate as the person will be pivotal in communicating with business
• Analytical approach / good problem-solving skills using innovation and creativity
• Ability to build productive working relationships – internally and externally
• Strong interpersonal/business skills and time management skills
• Demonstrable problem-solving skills with an ability to manage complexity and ambiguity
• Strong understanding of Agile & Scrum with a proven track record of delivery
• Business Analysis skills
• Requirement documentation and elicitation
• Capable of being entrusted with confidential information
  
  

Minimum Requirements:

• Relevant 3-year university degree in Logistics, Commerce, Engineering, Information Systems, Mathematics or related field
• Technical Skills: PowerBI, Python, Excel, SQL, General Data Knowledge (Data Modelling, Data administration, ETL Operations)
• ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem
• Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud
  
  

Additional Information:

Band: VIII

SAB is an equal opportunity employer and all appointments will be made in line with SAB employment equity plan and talent requirements.