Role Overview
We are looking for a Data Scientist to join our Marketing, Digital, and Transformation General Manager’s team. The ideal candidate will have a strong background in computer science, statistics, mathematics, or a related field, with at least 7 years of experience in the insurance, banking, fintech, or financial services sector.
What You Will Do
The candidate will be responsible for managing the end-to-end machine learning life cycle, including data collection, preprocessing, feature engineering, model selection, hyperparameter optimization, model evaluation, and deployment.
Why It Might Be a Fit
The candidate will also be responsible for developing, validating, and deploying predictive, classification, segmentation, and clustering models for real-world problems, and for conducting exploratory data analysis and transforming findings into meaningful insights for technical and non-technical stakeholders.
Requirements
- Strong background in computer science, statistics, mathematics, or a related field
- At least 7 years of experience in the insurance, banking, fintech, or financial services sector
- Advanced knowledge of Python programming
- Experience with data processing, model development, and working with large datasets
- Strong SQL skills
- Experience with statistical analysis, data mining, and probability theory
- Experience with machine learning life cycle from preprocessing to production
- Experience with data visualization tools such as Power BI, Tableau, or similar, and/or MLOps tools and applications such as MLflow, Airflow, or Docker
Benefits
- Flexible benefits
- Comfortable dress code policy
- Company-matched BES
- Access to exclusive discounts and benefits
- Sports and social clubs
- Regular training and competitions
- Range of activities and events
To apply for this job please visit linkedin.com.
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