Experience
9 - 14 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Data Science Lead
Job Type
Not specified
Job Description
Requirement Name / Title Data Science Lead No of Positions 2 Band C1 Experience 9+ years Work Location Chennai/Kochi/Pune Shift General Shift Notice Immediate to 30 Days Mandatory Skills Data Science, ML, DL, Python for Data Science, Tensorflow, Pytorch, Django, SQL, MLOps Preferred Skills NLP, Gen AI, LLM, PowerBI, Advanced Analytics, Banking exposure Job Description / Roles Responsibilities (in Detail) Strong understanding of Data Science, machine learning and deep learning principles and algorithms.
Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention.
Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards
Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
Optimize model performance and scalability for real-time inference and deployment.
Experiment with different hyperparameters and model configurations to improve AI model quality.
Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines Standards
Working knowledge ane experience in ML Ops is a must and engineering background is preferred
Excellent command of data warehousing concepts and SQL
Knowledge of personal banking products is a plus
Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention.
Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards
Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques
Optimize model performance and scalability for real-time inference and deployment.
Experiment with different hyperparameters and model configurations to improve AI model quality.
Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines Standards
Working knowledge ane experience in ML Ops is a must and engineering background is preferred
Excellent command of data warehousing concepts and SQL
Knowledge of personal banking products is a plus
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