Data Scientist

Data Scientist Salary: Up to £55,000 Location: Brighton COMPANY PROFILE Join our team as a Data Scientist focused on Pricing Optimization, where you will create and deliver advanced analytics models to enhance pricing strategies, improve customer value, and drive recommendation systems and demand forecasting. This role involves executing data science projects with agile methodologies to maximize revenue, optimize pricing, and enhance customer experience across the business. ROLE AND RESPONSIBILITIES Model Development: Develop and enhance pricing models, including demand forecasting, price elasticity assessments, recommendation systems, 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 and recommendations effectively across the business. Model Deployment: Deploy pricing and recommendation models into production for utilization by cross-functional analytical teams. Behavioral Analytics: Deliver complex descriptive and predictive analytics to understand customer response to pricing and recommendation strategies. External Awareness: Stay informed about analytics trends in retail pricing, recommendation systems, and competitor technologies to bring valuable insights to the organization. Stakeholder Collaboration: Build relationships with stakeholders, translating their pricing and recommendation 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 and recommendation analysis. Analytical Expertise: Excellent analytical and statistical skills, with hands-on experience in predictive modeling, pricing strategies, recommendation systems, and time series analysis. Cloud Platform Experience: Experience with cloud-based analytical platforms like Databricks, Snowflake, and Google BigQuery, particularly in pricing optimization and recommendation contexts. Commitment to Accuracy: Strong focus on accuracy, attention to detail, and rigor in analysis, ensuring reliable pricing and recommendation insights. Data Governance and Quality: Understanding of the importance of data governance and maintaining high data quality standards in pricing and recommendation models. Curiosity and Commercial Insight: Curious about pricing and recommendation 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 £55,000. 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.