Everything you need to know about Quantiful's Summer Internship Program 2021/22
Applications for summer 2021/22 have now closed
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 over summer 21/22 as either interns (400 hours) or in a permanent graduate position.
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. If you are graduating with another degree, the intern position is still available and potentially leads to a full-time position.
Apply for one or more of the following positions:
- Data Science
- Data Engineering
- Software 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
- Potential of becoming a multi-year intern, or as in many cases a permanent employee of Quantiful
Key Dates:
18th August 2021 - Submissions close and short list selected
19th August - 15th September 2021 - Interviews and test
17th September 2021 - Team meet & greet
20th September 2021 - Interns selected
29th November 2021 - Start date
25th February 2022 - Proposed finish date
Applications for summer 2021/22 have now closed
Position descriptions:
Data Science Internship
As a data science intern, 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
Required:
- Studying a technical degree including, but not limited to, Engineering Science, Statistics, Computer Science or Software Engineering
- Have some programming experience in Python
- Working knowledge of relational databases for data retrieval
- Strong background in maths
- 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
Applications for summer 2021/22 have now closed
Data Engineering Internship
As a data engineering intern, 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, preferably in Python
- Working knowledge of Git
- Reasonable background in maths
Nice to haves:
- Working knowledge of REST APIs, handling YAML/JSON/CSV
- Experience in using cloud-based infrastructure, particularly AWS
- Experience working with SQL and noSQL database software
- Experience with Bash and Docker
- Experience processing big data using technologies such as Apache Spark
- Personal projects to showcase your skills & other relevant work experience or courses.
Applications for summer 2021/22 have now closed
Software Engineering Internship
As a software engineering intern, you may be involved in:
- Developing our SaaS Web Portal for use by Demand Planners & Product Managers
- Building dashboard visualizations to deliver high value insights to our customers
Required:
- Studying a technical degree including, but not limited to, Engineering Science, Computer Science or Software Engineering
- Have strong programming experience, preferably in JavaScript or Java
- Interested in working in web development (frontend and backend)
- Experience using front-end frameworks (Ideally React/Redux/D3.js)
Nice to haves:
- Experience building REST APIs
- Knowledge of SQL
- Experience working with Node.js frameworks (Express or similar)
- Proficient understanding of code versioning tools (Git/GitHub)
- Experience using Serverless / SAM (IaC)
- Unit Testing (Jest, Mocha, etc)
Applications for summer 2021/22 have now closed
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