Data Index

Job Description

Role Overview

You will spearhead quantitative pricing analytics within a high-volume retail and e-commerce landscape where pricing strategies directly impact customer conversion, profit margins, and inventory health. As a senior leader in the analytical space, you are expected to maintain extreme technical rigor: all methodologies must be scientifically defensible, assumptions must be clearly articulated, and results must remain repeatable across various business planning cycles.

The company manages a multi-category retail portfolio characterized by high-frequency promotions and a blend of digital and physical store demand signals. Pricing strategies are scrutinized in weekly commercial leadership forums and integrated into monthly financial disclosures; therefore, maintaining historical comparability is vital. You will serve as a trusted advisor to commercial and finance executives, communicating statistical uncertainty with clarity to ensure informed, decisive action.

Technical Details

Databricks SQL: Used for developing curated analytical data layers and ensuring reproducible feature engineering.
Python: The primary environment for advanced modeling and simulations, with all code versioned via GitHub.
R: Employed for specialized statistical diagnostics and rigorous model validation.
PyMC: Used for Bayesian modeling and providing credible interval reporting for executive-level estimates.
Airflow: Orchestrates scheduled model execution and manages controlled data backfills.
Great Expectations: Ensures data quality through automated checks on input freshness, referential integrity, and financial reconciliation.
Data Scale: Managing datasets in the tens of terabytes, covering extensive order, price, and promotional histories.
SLA Management: Delivery of insights must align with weekly price-adjustment windows and monthly financial closing deadlines.

Responsibilities

Establish the quantitative architecture for pricing experiments and price elasticity modeling. This includes defining segment logic, controlling for confounding variables, and interpreting data amid promotions and supply chain limitations.
Develop robust forecasting and simulation tools to facilitate scenario planning, highlighting the trade-offs between margin preservation and volume growth across different pricing structures.
Uphold rigorous evaluation protocols, including out-of-time (OOT) testing, sensitivity audits, and stability assessments.
Maintain a transparent log of all methodological updates so leadership can distinguish between shifts caused by model refinement versus actual market volatility.

Operations and Stakeholders You will be a key participant in weekly pricing forums, collaborating closely with finance, commercial, and operational heads. Your primary output will be concise evidence dossiers that detail assumptions, data breadth, and confidence intervals. When data limitations exist, you will define those boundaries clearly and propose strategic data enhancements to reduce future uncertainty.

Security and Data Handling Work is conducted under strict data minimization principles with restricted access to sensitive customer fields. All outputs for leadership circulation must be aggregated. A confidentiality agreement regarding pricing and margin data is a mandatory condition of employment.

Job Data Table

Category	Details
Company Name	Data Index
Location	Leeds, United Kingdom
Locality	Leeds (Hybrid)
Country	United Kingdom
City	Leeds
Region	West Yorkshire
Job Type	Full-time / Permanent
Salaries	Negotiable (Competitive for Senior/Principal roles)
Experience Level	Senior / Principal
Travel	Occasional UK travel for quarterly planning
Language	English
Benefits	Matched pension, 27 days holiday, Private medical, Learning allowance

Skills & Competency Table

Key Skill	Level
Bayesian Modeling (PyMC)	Expert
Price Elasticity & Demand Forecasting	Expert
Python & Databricks SQL	Expert
Statistical Diagnostics (R)	Advanced
Data Engineering (Airflow/Great Expectations)	Advanced
Stakeholder Management (C-Suite/Finance)	Expert

Salaries Pay Calculator Table

Annual Salary	Bonus (Est.)	Total Compensation	Notes
£75,000	£7,500	£82,500	Lower end for candidates growing into the role.
£90,000	£13,500	£103,500	Median for Principal Quants in Northern UK hubs.
£110,000+	£22,000+	£132,000+	Upper tier for deep quantitative ownership.

Job Summary

This Principal Quantitative Analyst role in Leeds leads the pricing strategy for a multi-category retailer. You will build Bayesian forecast models and simulations using Python and Databricks to optimize margin and volume. The role requires balancing technical rigor with commercial influence, presenting evidence-based pricing decisions to senior finance and commercial stakeholders.

5 FAQs

What is the primary tech stack? The role focuses on Databricks SQL, Python (PyMC), R, and Airflow for orchestration.
Is this a fully remote role? No, it is a hybrid arrangement requiring roughly two days per week in the Leeds office for stakeholder sessions.
What kind of data volume will I handle? You will be working with tens of terabytes of historical order and pricing data.
What is the holiday entitlement? The package includes 27 days of holiday plus standard UK bank holidays.
How long is the notice period? The organization can accommodate notice periods of up to 12 weeks.

Expert Analysis

In 2026, retail pricing has moved beyond simple “rule-based” adjustments to Dynamic Bayesian Inference . For a Principal Quant, success is measured by the ability to quantify “Opportunity Cost.” By using PyMC for credible intervals, you allow the business to understand the risk profile of a price hike before it impacts the monthly P&L.

Location & Logistics Guide

Leeds is a major UK center for data and financial services. The office is centrally located, offering a hybrid balance. Two days on-site are dedicated to “Weekly Pricing Forums,” which are essential for aligning analytical outputs with immediate commercial actions. Travel to other UK sites is rare and quarterly. Wikipedia URL:https://en.wikipedia.org/wiki/Leeds

Career Path

A Principal Quantitative Analyst can advance to Head of Pricing Strategy , Director of Data Science , or Chief Analytics Officer (CAO) . Given the heavy overlap with finance and inventory, this role also provides a gateway into Commercial Finance Leadership or Revenue Management executive positions within the global retail sector.

To apply for this job please visit www.dataindex.co.uk.