Data Scientist Remote
Job description
Job Vacancy: Data Scientist
Role: Data Scientist
Location: UK - flexible
Salary: £30,000 - £38,000
Hours: 40 hours per week
Map of Ag is an exciting technology company focused on data science and insights in the agriculture sector. We offer services to all levels of the agrifood supply chain, including suppliers, farms, agrifood processors, retailers and industry professionals.
Map of Ag are looking to recruit an experienced Data Scientist, to join our product development team.
The successful candidate will employ a range of cutting-edge data science techniques and technologies to build, maintain and validate data solutions and insights that support the Client Services and Product teams.
Job Role
The day-to-day activities for this role will include:
- Designing and creating interactive analytics reports using Microsoft Power BI, in order to provide easy insight into large datasets for colleagues & clients.
- Designing and creating intelligent surveys that ensure a smooth and efficient collection of real-world data.
- Efficient processing and mining of large datasets from various sources using intelligent criteria and mapping rules.
- Manipulating datasets and building/maintaining models to add value and generate key performance indicators.
- Supporting the Account Management team to ensure they have information & reports available to share with clients as required.
- Analysing the datasets collected to respond to specific queries from colleagues & clients.
Key Skills
The following skills would be required for this role:
- Experience with Microsoft Power BI is highly desirable.
- Experience designing intelligent surveys is highly desirable but not essential.
- Strong Python and MS Excel capabilities. Knowledge of JavaScript, R, SQL, VBA, git, machine- learning or optimisation algorithms preferred but not essential.
- Ability to utilize statistical & data analysis methodologies to extract hidden insights from large complex datasets with excellent attention to detail. Mechanistic or empirical modelling experience desirable but not essential.
- Capable of working effectively within an agile team environment with evidence of excellent organizational and documentation skills.
- Excellent communication skills and able to liaise with a variety of colleagues and stakeholders, including account managers and IT developers.
Apply
For further information on the role please call Phil Shine on 01768 868472. To apply please email your
CV and a short covering letter to [email protected].
Job Types: Full-time, Permanent
Salary: £30,000.00-£38,000.00 per year
Benefits:
- Company pension
- Gym membership
- On-site parking
- Work from home
Schedule:
- Monday to Friday
- No weekends
Education:
- Master's (preferred)
Work Location: Remote
