BI Data Modeler - United Kingdom - G's Group

Description

Data Scientist

Our company is an incredibly exciting place to work, at the forefront of modern farming and food production, G's is one of the largest fresh produce providers in the UK, producing over one billion packs of healthy products a year.

We have an exciting opportunity for a Data Scientist to join our Innovation team, who will be working with our growers to develop models to describe how crops are growing.

Through this role, you will make a significant contribution to improve our farming processes, and ultimately help deliver affordable food to the end consumer.

You will join a fantastic team which is keen to help, support and get the best out of you.

Develop quantitative and qualitative models to describe how crops are growing in the field.

Create the basis of a digital twin for salad crops using time series forecasting and mechanistic models and articulate these in ways growers can better understand how their management affects crop result.

Evaluate quality factors related to crop maturity.
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.

Encourage G's Growers to make smarter decisions by creating customised implementations of current models by crop and, when necessary, by crop variety.

Minimum 2 years' experience in statistical modelling, machine learning and time series forecasting, particularly applied to modelling of crop maturity and growth
Experience using standard data engineering tools, including SQL.
Experience using standard data science development tools, including Anaconda, JupyterLab, and Python programming.

Hours of Work:
Monday – Friday - 40 hrs/week
31 Days holiday per year including bank holidays.
~ Salary sacrifice pension scheme available
~ Cinema and Sky Store discounts
~ Supermarket & other retailer discounts
~ Health Cash Plan
~ Holiday discounts
~ Life assurance & income protection
~ Employee referral scheme
~ Employee Assistant Programme
~ Cycle to Work
~ Electric car salary sacrifice scheme.
~ Learning, development, and training opportunities including mentoring.
~ Regular social and charity events
~ Engagement in local community & early careers events
~ We politely request no contact from recruitment agencies or media sales.