Data Scientist - £55k - Gateshead (1 day a week from their offices)
Why would you want to work here?
- The size of the data
- You’ll have access to data from 300 different companies from industries such as retail, fashion and airline
- Blank canvas
- You'll have a big influence on what they do and how they do it
- Ownership of the tech
- You'll have full access to all the data. You won’t have to jump through hoops.
- You'll be encouraged to try different things and it doesn't matter if you fail as long as you learn from it
- You’ll only work from their offices one day a week
- You’ll have a training budget + there’s financial support for certs and quals you want to pursue
Other perks
- 25 days annual leave (increases to 30 with service)
- Extra day off on your birthday
- Pension scheme where they contribute up to 5%
- Bonus schemes
- Flexible 35 hour working week
- Free parking, snacks and refreshments
- Free breakfasts, buffets and team events
- Tech & Cycle to work schemes
- EAP including 24/7 GP access
What you’ll be doing
- Collaborating with the product, engineering and ops teams to tell them what’s possible and put it into action
- Optimising their data product offering
- Building, training, and deploying machine learning models into production
- Extracting actionable insights by mining and modeling data to answer challenging questions
- Highlighting key signals and trends deep within the underlying data
Who you’ll be doing it for
A Software Development company that specialises in online shopping behaviours.
Founded in 2012, they now have over 100 employees.
They help over 500 companies - including Vodafone, Nike and Ikea - to reach, retain and re-engage with their website visitors.
Have you ever tried to buy something online but then got distracted and forgot to complete the purchase?
This company makes it as easy as possible for you to complete your purchase at a time that suits you without having to start the process from scratch.
Who you’ll be doing it with
Their Data Intelligence team - a Data Analytics Manager and two Data Engineers.
What tools you’ll be using
- Snowflake
- DBT Cloud
- Looker
- Python
The experience you need
- Knowledge of Data Science techniques, including at least two of:
- Recommendations
- Segmentation
- Forecasting
- Hypothesis testing
- Optimisation
- Experience of building end-to-end machine learning solutions and deploying them into production using cloud platforms
- Track record of identifying and highlighting key insights, signals, and trends deep within the underlying data to unlock commercial value
- Experience of using analytical tools and languages such as Python and/or R
How to apply
Click "Apply" and/or book a call in Tom Smith's diary