National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist

Map of Ag
Penrith
3 weeks ago
Create job alert

Map of Ag is an exciting technology company focused on data science and insights in the agriculture sector. From offices in Penrith and York, 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 Senior Data Scientist, to join our data analytics team. The successful candidate will lead complex data initiatives and play a key role in shaping our analytical capabilities. You will lead project delivery, mentor other data scientists, and ensure that our data solutions are robust, scalable, and impactful.


Key Responsibilities


  • Lead the design and implementation of analytical models and processes across key projects.
  • Directing the technical aspects of projects they are involved in including the selection of tools, implementation methodology and processes to ensure successful delivery
  • Guiding other members of the analytics team to provide code reviews, direction, support and be their point of contact for technical questions



  • 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
  • Work closely with Product and Client Services to align analytics outputs with business needs.
  • Ensure clear documentation and effective communication of findings and recommendations.


Skills & Experience


  • 4+ years' experience in a data science or applied analytics role, with clear progression in responsibilities.
  • Experience solving domain-specific problems, preferably in agriculture, or sustainability
  • Capable of working effectively within an agile team environment with evidence of excellent organizational, documentation and project management skills
  • 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 is desirable
  • Excellent communication skills and able to liaise with a variety of colleagues and stakeholders, including account managers and IT developers
  • STEM degree or equivalent professional experience required

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.