Required Skills:
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 solid problem‑solving and algorithmic thinking
Apply deep technical expertise in Python,



ML/DL frameworks (TensorFlow, PyTorch, Scikit‑learn), and large‑scale data processing
Leverage solid 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

📌 Data Scientist Bengaluru
🏢 Wenger and Watson
📍 Bengaluru