Data Science and Machine Learning Engineer - Intern

12 Oct 2018
10 Nov 2018
Contract Type
Full Time
*Experience:* 0-3 years

*Company and role description:*

Tenzo, a Techstars company, is a restaurant and retail intelligence platform, delivering actionable insights to in-store employees in real time on their mobile device to improve bottom line performance. Using advanced analytics and big data techniques, we improve performance across multiple levers, specifically focused on optimising labour, customer experience and forecasting demand.

As we grow, we’re looking data scientists to help build out our existing A.I. capability. We’re looking for someone who has the enthusiasm to help us build new features, and the drive to deliver a high-quality product to our customers. You should be able to help us think about how to take machine learning techniques and apply them to business problems to help our clients generate value.

Technically, we’re looking for experience with:
- A variety supervised learning techniques: for example, Random Forest, CNNs, RNNs, and applying them to real world business problems
- Time series forecasting is a significant plus (both traditional and machine learning methods).
- Manipulating large data sets
- Python/Pandas/Numpy is a must, with R experience also useful

We’re looking for people who’ve demonstrated substantial success in what they’ve done to date, with academic experience in machine learning (e.g., Masters, PhD, Postdoc) a plus.

In addition to understanding the core machine learning technologies, we are looking for someone to help us shape the engineering team and overall company culture. Hackers and hobbyists welcome!

This internship is part-funded by the ERDF as part of the CAP-AI Innovation Internship Programme, run by Capital Enterprise.

To apply for this role, please send over your CV and Covering letter and let us know why you’re the perfect candidate.

*Issue date:* 21st June 2018
*Deadline:* 1st July 2018

*Tag:* #CAPAI

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