Data Scientist

Harnham; Manchester; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading company in digital media is seeking a Data Scientist to optimise advertising inventory and pricing strategies. This role involves developing predictive models and collaborating with various teams to enhance revenue performance. Ideal candidates will have strong statistical skills and experience in data manipulation using SQL and Python.

Qualifications

• Experience with commercial, sales, or inventory datasets.
• Strong statistical modelling and predictive analytics expertise.

Responsibilities

• Develop predictive and statistical models for inventory management.
• Analyse inventory turnover and sales rates for decision-making.
• Create dynamic pricing models based on various data factors.

Skills

Statistical Modelling

Predictive Analytics

SQL

Python

R

Stakeholder Management

Job description

Data Scientist

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Senior Recruitment Consultant | Data Science, MLOps, AI | North of England and Midlands

Data Scientist – Inventory & Pricing Analytics

Location: Manchester (Hybrid – 2 days onsite)

The Company

A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the core of their strategic direction, they are expanding their team and hiring a Data Scientist to focus on optimising one of their largest revenue streams—advertising inventory.

The Role

As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies.

This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management.

Key Responsibilities:

• Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance.
• Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions.
• Create dynamic pricing models based on supply, demand, seasonality, and campaign data.
• Deliver actionable insights that maximise revenue opportunities across multiple media channels.
• Collaborate with commercial, sales, and supply teams to embed data-driven decision-making across the business.
• Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy.

Skills & Experience:

• Strong statistical modelling and predictive analytics expertise.
• Proficiency in SQL and Python (or R) for data manipulation and model development.
• Experience working with commercial, sales, or inventory datasets.
• Strong stakeholder management skills with the ability to translate complex data into clear commercial recommendations.

Register your interest by sending your CV to Daniel Abbasi via the apply link in the page.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst

Industries

• Staffing and Recruiting

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