Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist - Pricing Optimization (REMOTE)

Harnham
Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Pricing Optimization (REMOTE)

Salary:Up to £75,000

Location:LONDON



COMPANY PROFILE

Join the team as a Data Scientist focused on Pricing Optimization, where you will create and deliver advanced analytics models to enhance pricing strategies and improve customer value. This role involves executing data science projects with agile methodologies to maximize revenue and business efficiencies.




ROLE AND RESPONSIBILITIES

  • Model Development:Develop and enhance pricing models, including demand forecasting, price elasticity assessments, and revenue optimization strategies, under the guidance of the data manager.
  • Segmentation Improvement:Contribute to creating and refining customer and product segmentations to tailor pricing strategies effectively across the business.
  • Model Deployment:Deploy pricing models into production for utilization by cross-functional analytical teams.
  • Behavioral Analytics:Deliver complex descriptive and predictive analytics to understand customer response to pricing strategies.
  • External Awareness:Stay informed about analytics trends in retail pricing and competitor technologies to bring valuable insights to the organization.
  • Stakeholder Collaboration:Build relationships with stakeholders, translating their pricing objectives into impactful data science products.



REQUIRED SKILLS AND EXPERIENCE

  • Programming and SQL Skills:Proficient in Python or R with strong SQL abilities, particularly in data manipulation for pricing analysis.
  • Analytical Expertise:Excellent analytical and statistical skills, with hands-on experience in predictive modeling, pricing strategies, and time series analysis.
  • Cloud Platform Experience:Experience with cloud-based analytical platforms like Databricks, Snowflake, and Google BigQuery, particularly in pricing optimization contexts.
  • Commitment to Accuracy:Strong focus on accuracy, attention to detail, and rigor in analysis, ensuring reliable pricing insights.
  • Data Governance and Quality:Understanding of the importance of data governance and maintaining high data quality standards in pricing models.
  • Curiosity and Commercial Insight:Curious about pricing challenges, with the ability to extract maximum value from data science through effective storytelling, visual support, and efficient workload management using Jira/Confluence.



SALARY AND BENEFITS

  • Salary range:Up to £75,000.
  • Hybrid working model.
  • Bonus



HOW TO APPLY

To be considered for this role, please submit your CV to Luc Simpson-Kent through the application link provided on this page.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.