Data Scientist Talent Pool

Our new Data Scientist needs to tick 3 boxes!

Mad programming skills A sound business sense A data driven self-thinker The bottom line? Your primary responsibility will be to turn our heaps of data into actionable insight and improved efficiency.

The team you would be joining is responsible for driving decisions utilizing cloud data warehouse technologies, advanced visualization, data science, along with solid collaboration!

A degree in a quantitative field such as Statistics, Math, Computer Science, Physics or Engineering

2-5 years’ experience in a data science, software development or quantitative analysis role.

The skills below are preferred but not required. We expect more experienced candidates to tick more of these boxes and the successful candidate will learn all of these during their career at Mr Price. Python or R, using libraries like Pandas, NumPy, Scikit-learn, tidyverse, etc

SQL, Relational DBMS and data modelling – to source and transform your inputs and save and explore your outputs.

Exploratory Data Analysis skills – to explore and understand your data.

Applied statistics or machine learning methods e.g. Neural Networks, Decision Trees, Time Series Analyses, Clustering, Regression, Deep Learning.

Optimisation Techniques e.g. Linear Programming, Genetic Algorithms, Simulated Annealing

Big Data processing platforms like Spark

Data Visualisation tools e.g. Excel, PowerBI, Tableau.

Responsible software engineering practices e.g. Version Control (git), Design Patterns, Reproducability, Deployment etc.

Experience LLMs and GenAI – to leverage advanced AI techniques for innovative solutions.

How we work?

The Data Science (DS) team sits within the Mr Price Advance team – alongside our Data Warehouse, Business Intelligence, Special Projects and Robotic Process Automation teams.

The Mr Price Advance team falls within the Mr Price Technology division. The Technology division has various specialisations (e.g. Security, Cloud, Infrastructure) which allows each of us to focus on our own particular strengths. (There’s also the annual Hackathon. So far the DS team has 2nd and 4th places – come help us win this year!)

We have hybrid working arrangements, typically working Mondays and Fridays from home.

Majority of our work (80%+) is project based with the balance (~20%) spent supporting our existing solutions.

You will usually oversee a key part of a project, seek support from your data science team mates as needed, and give regular progress reports to the Head of Data Science.

Apply Machine Learning, Optimisation and AI techniques to our data with the aim of improving our business.

Improve our business through analyses and hypotheses testing.

Communicate insights, results and analyses to stakeholders.

Promote and facilitate data-driven business decisions.

Building relationships & gaining deep knowledge of the Mr Price business