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Data Scientist
2 months ago
We are seeking a highly skilled Data Scientist to join our team at Harnham, where you will play a key role in driving business growth through advanced analytics and data-driven decision making.
Key Responsibilities- Pricing Model Development: Design and implement pricing models that optimize revenue and customer value, leveraging your expertise in demand forecasting, price elasticity assessments, and recommendation systems.
- Segmentation Improvement: Collaborate with cross-functional teams to create and refine customer and product segmentations, ensuring tailored pricing strategies and recommendations.
- Model Deployment: Deploy pricing and recommendation models into production, ensuring seamless integration with 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, bringing valuable insights to the organization.
- Stakeholder Collaboration: Build relationships with stakeholders, translating their pricing and recommendation objectives into impactful data science products.
- 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 Range: Up to £55,000.
- Hybrid Working Model: Enjoy a flexible work environment that balances remote work with in-office collaboration.
- Bonus: Opportunities for performance-based bonuses.
