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14 Yodlee Jobs
Associate Lead - Data Science
2-6 years
Thiruvananthapuram
1 vacancy
Associate Lead - Data Science
Yodlee
posted 5mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Apply advanced statistical techniques and machine learning/deep learning algorithms to large datasets to develop models that optimize financial decision-making and operational efficiency.
- Analyze and interpret complex data from various sources (structured and unstructured) to identify trends, anomalies, and actionable insights.
- Build, train, and validate machine learning/deep learning models, ensuring their performance meets business needs.
- Continuously improve and optimize existing models by integrating new data sources and refining algorithms.
- Collaborate with cross-functional teams, including managers, engineers, and other data scientists, to define and prioritize data-driven solutions.
- Communicate insights and findings to stakeholders in a clear and concise manner through reports, visualizations, and presentations.
- Apply cutting-edge techniques such as Multi-agent systems (MAS), GenAI models to financial use cases.
- Stay updated with the latest developments in data science, AI, and financial technology.
- Bachelors or Master s degree in Data Science, Statistics, Computer Science, or a related field.
- 2+ years of hands-on experience in data science, preferably in financial services or fintech environments.
- Strong proficiency in Python and experience with machine learning frameworks (TensorFlow,PyTorch) and ML libraries.
- Knowledge of SQL and experience working with large-scale databases and data warehouses.
- Excellent analytical skills, with the ability to draw meaningful insights from complex data.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Familiarity with financial data and experience in the wealth management industry.
- Experience working in Amazon SageMaker and Bedrock.
- Knowledge of AWS AI/ML services and proficiency in PySpark.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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