AI Data Scientist

The duties of the post will include:

• Analyse and map data flows across supply chain, sales, and customer processes to identify inefficiencies and optimisation opportunities.
• Develop, test, and deploy machine learning models for product recommendation and cross-selling, customer segmentation and churn prediction, and inventory forecasting and supplier risk scoring.
• Clean, transform, and integrate diverse datasets from ERP, CRM, and other systems to create actionable analytics pipelines.
• Work closely with internal stakeholders (e.g., sales, procurement, operations) to understand business needs and align data science solutions with strategic goals.
• Create interactive dashboards and decision support tools (e.g., in Power BI or Tableau) to visualise insights and improve decision-making.
• Build internal capability by documenting workflows, delivering training, and supporting the adoption of new tools by non-technical users.
• Collaborate with academic supervisors to ensure technical rigour and contribute to research outputs (e.g., journal articles or case studies). Acting as project lead, to progress the project(s) and ensure milestones are met to a timely manner.
• Embedding technology, training and upskilling company staff.
• Participating in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.

Benefits

As a KTP Associate, the post will offer the following benefits:

• A personal development budget of £5,340 (exclusive of salary).
• A combined Travel & Subsistence and Consumables budgets of over £4,000.
• Management training and mentoring by an Innovate UK KTP Adviser.
• An interesting and challenging role, with exposure to a variety of stakeholders.
• Full access to university resources to complete the project.
• World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

This is a full-time, on-site role based at our Watford HQ. Upon successful completion of a 6-month probation period, the position will transition to a hybrid working model exact arrangement to be confirmed at the time.

Typical arrangement at Storm Tech. 3 days on-site and 2 days remote per week.

The University of Essex in partnership with Storm Technologies offers an exciting opportunity to a graduate with the relevant skills and knowledge to transform business operations and processes by leveraging AI and data insights, identifying inefficiencies, and implementing systems that drive data-driven decision-making, while fostering a culture of continuous improvement within the organisation.