Manager, Data Science

We are the ARD AI Team within the Analytics, Research & Data organization under Enterprise Data & AI. Our team brings together expertise in Applied Research, Data Science, Machine Learning, and Generative AI to build intelligent solutions that power critical capabilities across Enterprise Technology. We provide an innovation-driven environment where ideas can be explored, rapidly prototyped, validated with customers, and scaled into enterprise-grade solutions. By combining cutting-edge AI with strong business partnership, we turn emerging technologies into impactful products that deliver measurable value.

At ARD AI, you will do more than experiment with new technologies. You will help design and build transformative AI solutions that solve meaningful business challenges, enhance client experiences, and drive strategic outcomes for the firm.

The ARD AI Team is seeking a highly motivated Data Scientist to join a team that is focused to solve business problems in collaboration with our partners in Enterprise Technology. In this role, you will research, build, and deploy innovative AI-native solutions to create measurable business value. You will work closely with data scientists, engineering managers, and business stakeholders to employ AI technology into scalable solutions.

• As a Data Scientist, you will leverage Machine Learning, Predictive Modeling, NLP, Generative AI, and Deep Learning to build AI-native solutions that drive business value.
• Apply customer-centric thinking to solve complex business problems through innovative, data-driven approaches.
• Foster a culture of continuous learning, experimentation, and knowledge sharing while developing scalable, production-ready AI solutions.
• Collaborate with cross-functional teams to identify opportunities and accelerate AI adoption across the organization.

The Skills that are Key to this role

• Hands-on experience developing and deploying Machine Learning, Deep Learning, and Generative AI solutions.
• Strong understanding of the end-to-end predictive modeling lifecycle, including EDA, feature engineering, model development, validation, experimentation, deployment, and monitoring.
• Proficiency in Python and SQL, with experience using tools/frameworks such as Streamlit.
• Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
• Experience designing and orchestrating agentic AI workflows and applications.
• Strong understanding of prompt engineering, context engineering, and LLM application development.
• Ability to translate business needs into AI/ML solutions through close collaboration with stakeholders.
• Strong communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical audiences.
• Demonstrated curiosity, adaptability, and a passion for learning in a fast-paced, collaborative environment.

• Experience fine-tuning Large Language Models (LLMs) and building Retrieval-Augmented Generation (RAG) applications.
• Familiarity with Vector Databases, Embedding Models, and Transformer architectures.
• Experience with the LangChain ecosystem (LangChain, LangGraph, and LangSmith) or equivalent for building and operating AI agent solutions.
• Experience designing evaluation frameworks (Evals) for LLM and agentic AI systems.
• Understanding of MLOps/LLMOps practices, including CI/CD pipelines, deployment, monitoring, and lifecycle management of AI solutions.
• Exposure to Responsible AI, model observability, and governance practices.

• Bachelors/Masters degree in engineering, Computer Science, Mathematics, Computational Statistics, Machine Learning or related technical fields.
• 4+ years of hands-on work experience as a data scientist developing and deploying Machine Learning, Deep Learning, and Generative AI solutions.

Shift timings: 11:00 pm - 8:00pm

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