Company:
Harnham
Location: London
Closing Date: 17/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
SENIOR DATA SCIENTIST
LONDON (HYBRID - 3 Days Per Week) UP to £70,000
COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers!
They are looking for a Senior Data Scientist to join their Data Science team!
RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements
REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL
NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page.
KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity
LONDON (HYBRID - 3 Days Per Week) UP to £70,000
COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers!
They are looking for a Senior Data Scientist to join their Data Science team!
RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements
REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL
NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page.
KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity
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