Data Science Lead

V2 Solutions; Hinoba-an; On-site; PHP 1,657,000 - 3,646,000; Full time

Job summary

V2 Solutions is seeking a Data Science Lead with 9+ years of experience to lead advanced analytics initiatives in a banking context. You will design and implement ML/DL models using Python, TensorFlow, and PyTorch, drive personalization and segmentation, and ensure responsible AI practices and scalable deployment.

The role requires strong SQL skills, data warehousing knowledge, and familiarity with ML Ops. Shift is general, with immediate to 30 days notice, and attractive growth opportunities.

Qualifications

• 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

Responsibilities

• 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

Skills

Data Science

Machine Learning

Deep Learning

Python for Data Science

TensorFlow

PyTorch

Django

SQL

MLOps

Tools

Python

TensorFlow

PyTorch

Django

SQL

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