Our client is a Private Equity firm and is looking for a senior data scientist to support one of their portfolio companies in personalising consumer journeys through machine learning solutions for pricing models and product recommendations.
Key Responsibilities:
Conceptualise, design, and implement state-of-the-art ML models for dynamic pricing strategies and personalised product recommendations.
Develop, implement, and deploy machine learning models that leverage our unique combination of user behaviour and subscription data to improve consumer value from our products.
Engineer and maintain large-scale consumer behavioural feature stores while ensuring scalability and performance.
Develop and maintain data pipelines and infrastructure to support efficient and scalable ML model development and deployment.
Requirements:
You will have 6+ years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.
M.S. or Ph.D. in Machine Learning, Data Science, Computer Science or related degree; or equivalent work experience.
Proficient in Python, SQL, intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, PyTorch etc.
Experience with various ML techniques and frameworks, e.g., data discretisation, normalisation, sampling, linear regression, decision trees, deep neural networks, etc.
Strong understanding of statistical analysis and data visualisation techniques.
Details:
Start Date : ASAP
Duration : 3 months
Day rate : Up to £500 LTD depending on experience
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