Senior Data Scientist

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VSNi has a vision “to see the challenges of global food production eradicated through the effective application of data, analytics and technology.” To support our ambition, we are driving a culture that values flexibility, collaboration, growth, and respect.

How we deliver our ambition is to develop and sell analytical software and data management solutions to support bio-scientists in many disciplines across the globe, be they in educational, not for-profit, or commercial settings. Our technical software and platform products are complemented by a growing consultancy and training proposition. Currently, commercial plant and animal breeders are our primary focus, but at the right time we expect to expand into other sectors such as retail or pharmaceuticals.

VSNi’s heritage stretches back over 20 years as one of the world’s foremost providers of statistical software to the biosciences. Now we are on a transformation journey to become a fully digitised ‘software-as-a-service’ vendor expanding our offering into data management and workflow optimisation as well as analytics. This means making our products available via cloud-computing to our customers, but also taking advantage of digital tools to deliver an enhanced online and offline customer experience, improving back-office activities to drive improved sales and marketing and customer support performance, growing the business in an effective, efficient, and highly measurable way.

Interested to know more? Here’s what we're looking for :

Job Title :

Title : Senior Data Scientist

We are seeking a highly skilled and research-oriented Senior Data Scientist (AI / ML) to design, build, and optimize scalable data pipelines and advanced analytical models. The ideal candidate will combine data engineering expertise, machine learning proficiency, and strong analytical thinking to drive innovation in Agricultural Technology, Horticulture, and Drug Discovery domains. You will collaborate closely with data scientists, product managers, and engineering teams to translate complex data challenges into actionable, data-driven solutions that power AI-enabled decision systems and predictive intelligence platforms. We value individuals with a proven track record of delivering results across frontend, backend, automation, and ML domains. You should be able to take ownership of tasks, drive them to completion, and lead cross-functional teams with clarity and confidence. Strong leadership and people management skills are essential, as you'll mentor others and help shape the technical culture of the organization.

Key Responsibilities :

Model Research & Development

• Research, design, and develop statistical learning and deep learning models for complex data analysis and predictive modeling.
• Implement and validate advanced AI / ML algorithms in domains such as crop health analysis, molecular discovery, or environmental modeling.
• Evaluate and adopt emerging AI / ML frameworks and techniques relevant to company R&D goals.

Data Engineering & Infrastructure

Collaboration & Strategy

Innovation & Continuous Improvement

Required Experience :

Education :

Domain Knowledge (preferred)

What is on offer for you

Location

Remote working