Data Scientist

Wenger & Watson; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Wenger & Watson in Bengaluru seeks an experienced data science leader to own end-to-end AI/ML initiatives, from problem framing to production deployment.

You will define technical strategy, oversee model development (NLP/LLMs/GenAI), ensure Responsible AI governance, and mentor senior data scientists across regions.

Qualifications

• 8–12 years of experience in data science or related analytics roles.
• Own and drive end-to-end AI/ML solutions from problem definition to production deployment.

Responsibilities

• Define and lead technical strategy for model selection and evaluation metrics.
• Design and deliver advanced AI solutions (NLP, LLMs, GenAI, RAG).
• Act as primary technical authority guiding data scientists and ML engineers.
• Establish success criteria, production readiness, and governance standards.
• Collaborate with engineering for secure, scalable deployments (MLOps/CI/CD).
• Mentor senior data scientists and drive full-stack data science delivery.

Skills

Python

ML/DL frameworks

TensorFlow

PyTorch

Scikit-learn

NLP

LLMs

MLOps

CI/CD

Leadership

Education

Master's in Statistics/Math/CS (Data Science)

Engineering degree in Data Science/AI

Tools

Azure

AWS

SQL

Job description

• 8-12 years of experience in data science or related analytics and statistical modelling roles.
• Own and drive end-to-end AI/ML solutions-from problem definition and experimentation to production deployment and continuous optimization
• Define and lead technical strategy, including model selection, evaluation metrics, and trade-offs across performance, scalability, and constraints
• Design and deliver advanced AI solutions (including NLP, LLMs, GenAI, and RAG) aligned with business outcomes
• Act as the primary technical authority, guiding data scientists and ML engineers while proactively identifying and resolving risks
• Establish and sign off on success criteria, including model evaluation metrics, quality benchmarks, and production readiness standards
• Ensure Responsible AI compliance, including governance, explainability, documentation, and audit readiness
• Collaborate with engineering teams to enable secure, scalable, and reliable production deployments using MLOps and CI/CD best practices
• Lead and mentor senior data scientists, driving full-stack data science delivery and fostering strong problem-solving and algorithmic thinking
• Apply deep technical expertise in Python, ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn), and large-scale data processing
• Leverage strong foundations in statistics, data engineering, and cloud platforms (Azure/AWS) for production-grade solutions
• Translate business requirements into technical solutions and influence cross-functional stakeholders to drive strategic outcomes

Preferred

• Experience working within large investment banking or financial services organizations.
• Experience defining enterprise AI governance, ethics guidelines, risk frameworks, or regulatory compliance programs.
• Published research, patents, or conference presentations in AI, ML, NLP, or related fields.
• Experience leading multi-team or matrixed delivery organizations across regions and time zones.
• Industry reputation as a technical expert or AI thought leader.

Education:

• Master's degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence.
• Proficiency in programming languages such as Python, R, and SQL