Role Overview
We are looking for an experienced Senior Data Scientist with strong expertise in predictive modelling, machine learning, and customer analytics.
What You Will Do
A hands-on Data Scientist who has built and deployed machine learning models using large-scale customer or transactional datasets and can translate analytical insights into business outcomes.
Why It Might Be a Fit
Strong hands-on experience in Python, SQL, and PySpark, expertise in Machine Learning algorithms, and experience with Azure Databricks and Azure Data Factory.
Requirements
- Strong hands-on experience in Python, SQL, and PySpark
- Expertise in Machine Learning algorithms, including classification, regression, clustering, and predictive modelling
- Practical experience with Spark MLlib, TensorFlow, and Keras
- Experience with Azure Databricks and Azure Data Factory (AWS experience is also relevant)
- Knowledge of customer analytics, including churn prediction, Customer Lifetime Value (CLV), propensity modelling, and customer segmentation
- Experience building and deploying scalable ML pipelines
- Exposure to MLOps, model monitoring, Git, and CI/CD
- Strong analytical, problem-solving, and stakeholder communication skills
To apply for this job please visit linkedin.com.
Follow us on social media