NexAura — a UK-based AI and technology company helping organisations use data, artificial intelligence, and automation to improve decision-making, operational performance, and business outcomes — is seeking a skilled Mid-Level Data Scientist for a fully remote contract role in the UAE. This commercially focused position supports the development of price elasticity and demand forecasting solutions, working with commercial, operational, and technical stakeholders to analyse historical data, identify demand drivers, and build reliable models that directly support pricing, planning, and business decision-making.
About NexAura — Practical AI for Real Business Outcomes
Company: UK-based AI and technology company — delivering practical, commercially focused analytics, BI, forecasting, and AI-enabled products
Client Focus: Advanced analytics, business intelligence, forecasting, and AI solutions for organisations across multiple sectors
Working Style: Fully remote — UAE-based candidate working collaboratively with a UK-based team and international stakeholders
Culture: Commercial awareness meets technical depth — rigorous analytics that are both analytically robust and practically usable for the business
Why This Mid-Level Data Science Role Stands Out
Price Elasticity Specialisation: Rare opportunity to develop and own price elasticity and demand forecasting models with direct commercial decision-making impact
Fully Remote from UAE: Contract flexibility with full remote working — partnering with a UK-based AI team on commercially significant modelling challenges
Commercial + Technical Balance: Translate model outputs into actionable business recommendations — not just technical outputs but genuine commercial intelligence
Sector Breadth: Retail, e-commerce, consumer goods, or pricing-sensitive sector experience brings significant additional value to this engagement
Position Overview
This Mid-Level Data Scientist at NexAura develops and evaluates price elasticity models to understand how pricing changes affect customer demand, builds demand forecasting models using historical sales, pricing, promotional, and operational data, identifies key demand drivers, seasonal patterns, trends, and external factors, prepares and validates datasets for modelling, compares statistical and machine-learning approaches for the most appropriate solution, tests model accuracy and business relevance, translates model outputs into clear commercial recommendations, works with stakeholders to define modelling requirements and success criteria, and documents methodologies, limitations, and recommendations throughout the engagement.
Why This Role Matters: As Mid-Level Data Scientist at NexAura from the UAE, you build the price elasticity and demand forecasting models that tell businesses exactly how pricing, promotions, and market conditions drive their sales — combining Python and SQL analytical rigour with genuine commercial awareness to produce insights that shape pricing strategy, inventory planning, and revenue management decisions. Working remotely with a forward-thinking UK AI team on commercially meaningful problems, this role offers data scientists the rare satisfaction of seeing their models drive real business outcomes.
Key Responsibilities
Price Elasticity Modelling & Demand Forecasting
- Develop and evaluate price elasticity models to understand how pricing changes affect customer demand across products, categories, and markets
- Build demand forecasting models using historical sales, pricing, promotional, and operational data from commercial and transactional datasets
- Identify key demand drivers, seasonal patterns, trends, and external factors that influence business performance
- Compare different statistical and machine-learning approaches to identify the most appropriate and robust modelling solution for each use case
Data Preparation, Model Validation & Analytics
- Prepare, clean, and validate structured commercial, transactional, and operational datasets for modelling and analysis
- Apply regression analysis, time-series forecasting, feature engineering, and model validation methods to ensure accuracy and business relevance
- Test model accuracy, stability, and business relevance using suitable cross-validation and holdout testing methods
- Use SQL to extract, transform, and analyse data from multiple sources — ensuring data integrity throughout the analytical workflow
Stakeholder Communication, Documentation & Deployment
- Translate model outputs into clear, actionable commercial recommendations for pricing, planning, and business decision-making stakeholders
- Work with commercial, operational, and technical stakeholders to define modelling requirements, assumptions, and success criteria
- Document methodologies, model logic, limitations, and recommendations with rigour and clarity
- Support the deployment, monitoring, and ongoing improvement of analytical models in production environments
Essential Requirements
Essential Requirements
- At least 3 years of professional experience in data science, advanced analytics, or a closely related role
- Strong experience using Python or R for data analysis, statistical modelling, and machine learning
- Practical experience developing forecasting, predictive modelling, or econometric solutions in commercial settings
- Good understanding of regression analysis, time-series forecasting, model validation, and feature engineering
- Experience working with structured commercial, transactional, or operational datasets
- Strong SQL skills and the ability to extract, transform, and analyse data from multiple sources
- Ability to explain complex analytical findings clearly to both technical and non-technical stakeholders
- Strong problem-solving skills and the ability to work independently in a fully remote environment
- Good written and verbal English communication skills
Desirable Experience
- Previous experience working in retail, e-commerce, consumer goods, or another pricing-sensitive sector
- Experience developing price elasticity, pricing optimisation, or promotional effectiveness models
- Familiarity with retail concepts — seasonality, promotions, product hierarchies, substitution, and cannibalisation
- Experience with cloud data platforms or productionising machine-learning models
About NexAura — AI and Analytics for Real-World Business Impact
NexAura is a UK-based AI and technology company that helps organisations use data, artificial intelligence, and automation to improve decision-making, operational performance, and business outcomes. Working with clients across sectors to develop practical, commercially focused solutions in advanced analytics, business intelligence, forecasting, and AI-enabled products, NexAura combines deep technical capability with a genuine focus on commercial practicality. The Mid-Level Data Scientist remote contract role in the UAE offers experienced data scientists the opportunity to build price elasticity and demand forecasting solutions that drive real pricing, planning, and strategy decisions for NexAura’s clients — remotely and independently from the UAE.
Career Excellence: Build commercially impactful price elasticity and demand forecasting models for NexAura’s UK AI team — fully remote from the UAE.
Who Should Apply?
- Data Scientists with Forecasting Experience: 3+ years building demand forecasting, price elasticity, or predictive analytics models in Python or R
- Econometric & Statistical Modellers: With regression, time-series, and model validation expertise applied to commercial or transactional business data
- Retail & E-Commerce Analytics Specialists: With pricing, promotional, seasonal, or product hierarchy modelling experience in consumer-facing industries
- SQL & Python Analytics Engineers: Comfortable extracting and transforming large structured datasets from multiple commercial data sources
- Remote UAE-Based Data Scientists: Ready to work independently with a UK-based AI team — strong communication, documentation, and self-management skills
Recently Opening Job👇
