Mid-level Data Scientist
Posted 68ds ago
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Job Description
Mid-level Data Scientist at EY supporting digital transformation in the finance sector. Collaborating with multidisciplinary teams on challenging projects involving data analysis and innovative solutions.
Responsibilities:
- Collaborate with multidisciplinary teams, communicating effectively to achieve shared objectives.
- Work on solving complex problems, developing creative and innovative solutions.
- Use critical thinking to analyze data, identify patterns, and make evidence-based decisions.
- Pursue continuous learning, adapting to new technologies and trends to enhance your skills and contribute to project success.
Requirements:
- Bachelor’s degree completed or in progress in Computer Science, Mathematics, Statistics, Economics, Business Administration, Engineering, or related fields;
- Advanced experience in Python, particularly for AI applications;
- Experience with data pipelines, ETL, Apache NiFi, and Apache Kafka;
- Knowledge of major modeling frameworks;
- Experience in Machine Learning development;
- Preferably experience in the financial sector (e.g., banks and insurers), technology companies, consultancies, or startups;
- Data Science certifications (e.g., IBM Data Science, AWS Certified Machine Learning, Google Professional Data Engineer);
Benefits:
- Visit go.ey.com/benefits to explore our range of benefits


















