Description
Client Overview:
Our client is a Private Equity firm 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
Location: Remote