AI Data Scientist (KTP Associate)

KTP

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.

Further information is available at: https://iuk-ktp.org.uk/

THE PROJECT 

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.

DUTIES OF THE POST

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.

KEY REQUIREMENTS

Qualifications / Training:

• A postgraduate degree in one of these areas: Data Science; Artificial Intelligence / Machine Learning; Business Analytics; Computer Science; Information Systems.

Experience / Knowledge:

• Proven experience in applied machine learning, including supervised and unsupervised learning techniques.
• Strong data manipulation and analytical skills using Python and basic ML libraries such as Numpy, Pandas, Matplotlib, SciPy, and Scikit-Learn.
• Solid understanding of data governance, data quality, and integration principles.
• Skills in risk assessment, stakeholder management, and quality assurance.
• Experience in deploying AI/ML models in real-world commercial settings
• Familiarity using cloud platforms such as Microsoft Azure.
• Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and similarity-based retrieval.
• Practical understanding of Retrieval-Augmented Generation (RAG) workflows, including integration of external knowledge sources into LLM pipelines.
• Experience in working with LLMs and developing Agentic AI models.
• Experience in version controlling such as Git.

Skills / Abilities:

• Excellent communication skills, with the ability to translate complex technical ideas into actionable business insights.
• Ability to work independently while integrating into a wider team.
• Enthusiasm for innovation and continuous improvement.

LOCATION

Storm Technologies

The Boulevard

2 Blackmoor Lane

Croxley Business Park

Watford

Hertfordshire

WD18 8YW

Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here.

Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email resourcing@essex.ac.uk.

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