Negotiable
Undetermined
Undetermined
United Kingdom
Summary: The Data Science Manager will lead the development and deployment of advanced analytics and AI/ML solutions, focusing on delivering actionable insights and scalable data products. This role requires collaboration with data engineers and effective communication of analytical findings to meet business needs. The ideal candidate will have extensive experience in data science and machine learning, particularly in predictive analytics and marketing applications.
Key Responsibilities:
- Design and implement AI/ML and Generative AI models for predictive analytics and marketing applications.
- Explore solutions using LLMs, embeddings, and RAG pipelines.
- Collaborate with data engineers on data quality, feature engineering, and pipeline optimization.
- Translate business needs into analytical solutions and communicate findings effectively.
Key Skills:
- Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field.
- 5+ years of experience in data science and machine learning.
- Strong proficiency in Python, SQL, and open-source tools.
- Experience with Generative AI frameworks and production-ready model deployment.
- Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker).
- Knowledge of predictive modeling and handling unstructured data.
- Experience with consumer goods or marketing analytics.
- Strong communication and stakeholder management skills.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Data Science Manager
We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products.
Key Responsibilities
- Design and implement AI/ML and Generative AI models for predictive analytics and marketing applications.
- Explore solutions using LLMs, embeddings, and RAG pipelines.
- Collaborate with data engineers on data quality, feature engineering, and pipeline optimization.
- Translate business needs into analytical solutions and communicate findings effectively.
Requirements
- Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field.
- 5+ years of experience in data science and machine learning.
- Strong proficiency in Python, SQL, and open-source tools.
- Experience with Generative AI frameworks and production-ready model deployment.
- Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker).
- Knowledge of predictive modeling and handling unstructured data.
Preferred
- Experience with consumer goods or marketing analytics.
- Strong communication and stakeholder management skills.