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Research assistant – forecasting and scenario analysis

Edinburgh
Edinburgh Napier University
Research assistant
€60,000 - €80,000 a year
Posted: 12 June
Offer description

Research Assistant – Forecasting and Scenario Analysis

Join to apply for the Research Assistant – Forecasting and Scenario Analysis role at Edinburgh Napier University.


Pay Range

This range is provided by Edinburgh Napier University. Your actual pay will depend on your skills and experience — discuss with your recruiter for more details.


About the University

Edinburgh Napier Business School is dedicated to empowerment, enterprise, and employability. It is one of Scotland’s largest Business Schools, with a focus on applied research that is policy and practice relevant both nationally and internationally.


The Role

We are recruiting a Research Assistant to support a project integrating predictive analysis of sales and stock data into The Bicycle Association’s Market Data Service (MDS), aimed at enhancing cycling products supply chain management.

This role offers an excellent opportunity for early-career academics to support a high-impact project influencing stock decisions based on demand variability.

Responsibilities include developing and implementing forecasting models (preferably related to inventory or supply chain management), analyzing data, and creating user-facing tools to communicate demand scenarios for stock planning.

You will collaborate with stakeholders to understand data, forecast needs, and develop actionable insights, contributing to your professional growth and network expansion in academia and industry.


Candidate Requirements

* Masters in a quantitative discipline such as Analytics, Data Science, Statistics, Mathematics, or related fields.
* Experience with forecasting models, especially in inventory or supply chain contexts.
* Strong knowledge of statistical forecasting techniques and proficiency in Python (Pandas, NumPy, Scikit-learn, Prophet) or R.
* Excellent analytical and problem-solving skills with the ability to interpret complex data.


Additional Details

For full duties, click here. Benefits include 46 days annual leave, a generous pension scheme, flexible working, and professional development opportunities.

Contract: Fixed-term, 7 months.

Hours: Full-time, 35 hours/week.

Note: The university cannot sponsor international workers on the Skilled Worker visa; applicants must have the right to work in the UK.

We are committed to diversity and inclusion, holding various awards and accreditations.


Job Details

* Seniority level: Associate
* Employment type: Full-time
* Job functions: Research, Finance, and related fields
* Industry: Higher Education
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