Data Scientist Consultant

About Centric Software:

Centric Software is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.

Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.

Data Scientist Consultant Retail Planning and Pricing About the Team Our combined Retail Planning and Pricing team brings together business consultants, customer success and support specialists, project managers, architects, and data science and engineering experts. We help retailers and brands connect planning and pricing decisions across the product lifecycle, from pre-season planning and assortment decisions to in-season demand forecasting, allocation, replenishment and price optimisation.

Working as a global team, we combine retail expertise with AI-powered technology to help customers improve inventory performance, revenue, margins and operational efficiency.

About the Role We are looking for a Data Scientist or Senior Data Scientist with a consulting mindset to help retailers and brands make better decisions about inventory, promotions and pricing. You’ll combine analytical expertise with direct customer engagement, building and validating models that turn complex data into practical business decisions. You’ll work with international teams throughout customer onboarding and solution delivery.

What You Will Do Partner with project managers, consultants and customers throughout onboarding projects.

Translate business processes and customer requirements into data transformations and modelling approaches.

Act as the key technical contact for data science and data engineering topics, explaining complex concepts clearly to non-technical stakeholders.

Maintain accurate, stable and well-documented data flows.

Design, prepare and analyse A/B tests to evaluate outcomes and answer business questions.

Train and validate statistical and machine learning models to measure the impact of pricing, promotions and inventory decisions.

Prototype solutions with Product Management and develop efficient, well-tested Python code.

Align customers and partners on data formats and transmission schedules.

Track project-specific effort and maintain complete, reliable solution documentation.

What You Bring At least 3 years of experience in data analytics, ideally in retail or consumer products.

Excellent SQL skills and strong analytical and problem-solving ability.

Hands-on Python experience, including Pandas, Num Py and Stats models.

Strong communication skills in English and the ability to explain data concepts to non-technical audiences.

A degree in computer science, data science, mathematics, statistics, physics, economics or a related field.

Additional Experience The following would be an advantage:

Experience with big data environments such as PySpark.

Familiarity with statistical modelling or behavioural price effects.

Additional languages beyond English.

Why Join UsJoin a global team working at the intersection of retail, enterprise software and applied AI. You’ll have the opportunity to contribute to business-critical customer outcomes, develop your expertise and collaborate with colleagues across our…