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Data Science Leader
1 month ago
Senior Data Scientist
Salary: Up to £80,000
Work Arrangement: Hybrid - 3 days a week in the office
Company Overview: Our client is a dynamic company that leverages data and machine learning to deliver at a rapid speed. They are seeking an ambitious Lead Data Scientist to join their team and help them scale their Data Science Personalisation/Pricing Forecasting Team.
Key Responsibilities:
- Utilize programming languages such as Python, SQL, and others to implement statistical/Forecasting methods effectively addressing specific business problems.
- Develop robust Forecasting/Personalisation/Search/Recommendation/Pricing models and perform data-driven analyses to support strategic decision-making processes.
- Innovate and enhance existing methodologies by creating new data sources, conducting rigorous testing, and fine-tuning of Forecasting & Personalisation/Search model parameters.
- Play a pivotal role in designing and developing automated forecasting systems, leveraging cutting-edge technologies.
- Build customer-facing reporting tools with intuitive interfaces, providing comprehensive insights and metrics to track forecast/Personalisation/Search performance and elucidate variance.
- Collaborate closely with researchers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable feedback.
- Present critical data in a clear and concise format, facilitating a quick understanding of inputs and outputs of forecasting systems and contributing to the continual improvement of their performance.
Requirements:
- Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more.
- Experience working with object-oriented programming languages.
- Experience in Forecasting/Pricing & AB testing.
- Leadership
- Expertise in utilizing SQL for data acquisition and transformation.
- Outstanding quantitative modeling and statistical analysis abilities.
Benefits:
- Salary range: up to £80,000.
- Bonus
- Hybrid working model.
How to Apply:
To be considered for this role, please submit your CV to the application link provided on this page.