Quantiful is a tech start up and global leader in AI Forecasting delivered through our SaaS Platform ‘QU’.

At Quantiful, we want to do our part to make better use of the world’s precious resources – for now and for future generations.

Waste not, want not, is our purpose. We believe that with the data, tools and talent now available this is more achievable than ever, but it isn’t happening because too many organizations are continuing to look back for answers not forward and are not taking concrete steps to change.

To solve this we have developed the world’s most innovative SaaS product, QU, which uses our analytics platform leveraging data from many sources, from macroeconomic to social media and search.

This data is used to predict demand, consumer trends that helps our clients make better decisions to minimise waste. Our industry-leading experts use advanced algorithms and machine learning techniques not to mention a cutting-edge technology stack.

Working with Quantiful would mean supporting our ongoing delivery of forecasts and software to improve planning outcomes for large enterprises around the world to achieve our purpose- waste not, want not.

We are looking for exceptional students to join our high performing team in permanent graduate positions.

These positions form an integral part of our business and have added substantial value to Quantiful in the past, so we look to continue this important program.

We are looking for a bunch of smart and cheerful students who can take on responsibility and can also enjoy a relaxed Friday evening with the team.

The graduate position is only available to students graduating with a Masters degree or higher.

Apply for one or more of the following positions:

• Data Science
• Data Engineering

For each of the above roles we are looking for:

• Strong academic performance
• Strong communication skills, with a good sense of humour
• Curiosity and passion for problem solving using data and machine learning

Key Dates:

• 18th September 2022 - Submissions close and short list selected
• 19th September - 10th October 2022 - Interviews and test
• 12th October 2022 - Team meet & greet
• 17th October 2022 - Graduates selected
• 21st November 2022 (can be negotiated) - Start date

Data Science Graduate

As a data science graduate, you may be involved in:

• Running repeatable, controlled machine learning experiments on the cloud
• Building out our scalable machine learning platform
• Researching new data sources and modelling approaches
• Building ML forecasting models including data cleaning, feature engineering and modelling, delivering the results through visualisations and presentations

Required

• Studying a technical degree including, but not limited to, Engineering Science, Data Science, Statistics, Computer Science or Software Engineering
• Some programming experience in Python and SQL
• Strong written and verbal communication skills

Nice to haves

• Working knowledge of APIs, handling JSON and other data formats (XML, csv)
• Experience in using cloud-based infrastructure, e.g. AWS
• Experience in using version control system, e.g. Git
• Personal projects to showcase your skills around data
• Other relevant work experience or MOOCs

Data Engineering Graduate

As a data engineering graduate, you may be involved in:

• Setting up automated pipelines for ETL and machine learning using big data on AWS
• Writing data transformations using Python and queries using SQL
• Building DevOps tools in Python, Bash and Docker

Required

• Studying a technical degree including, but not limited to: Software Engineering, Engineering Science, Computer Science, Compsys Engineering, Statistics
• Strong programming skills in Python and SQL
• A keen interest in Data Engineering, data warehousing and Cloud technology
• Working knowledge of Git

Nice to haves:

• Familiarity with YAML/JSON/CSV
• Familiarity with Cloud Technology (especially AWS), Containers & Serverless Architectures
• Familiarity with DevOps practices and Infrastructure as Code
• Experience working with Databases
• Personal projects to showcase your skills