Data Science Lead - R01551980 (Co-Pilot, AI Foundry)
Data Science Lead
Primary Skills
Sagemaker Studio, Vertex AI, Data Robot, SageMaker, Privacy (Federated Learning, Privacy preserving Algorithms), Model Provisioning: Kubernetes, Kibana, Databricks ML, Model Monitoring, Explainability (SHAPE, LIME, SHAPLEY), Azure ML, Bias Detection/Correction in Data, Big Query ML, Azure Synapse ML, Deployment Strategies (A/B, Blue green, Canary), Model testing, Integration testing, Domino Datalabs, Model Experimentation Job requirements
Job Title: Data Scientist Location: Bangalore / Gurgaon/Pune Notice- 0 to 30 days
Job Summary:
We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will have hands-on experience with Copilot Studio, M365, Power Platform, AI Foundry, and integration services. You will work closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and enable digital transformation.
Key Responsibilities:
• Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry. • Leverage M365 tools and services to integrate data-driven solutions within the organization’s digital ecosystem. • Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI). • Build, maintain, and optimize data pipelines and integration services to ensure smooth data flow across platforms. • Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects. • Communicate complex analytical insights in a clear and impactful manner to technical and non-technical audiences. • Continuously research and evaluate new tools and technologies to improve existing processes and solutions.
Required Skills and Qualifications:
• Overall 5-12 years of experience • Proven experience working with Copilot Studio, M365, Power Platform, and AI Foundry. • Strong knowledge of data integration services and APIs. • Proficiency in data modeling, data visualization, and statistical analysis. • Experience with cloud platforms such as Azure or AWS is a plus. • Excellent problem-solving and critical-thinking skills. • Strong communication and collaboration abilities. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Preferred Skills:
• Experience with additional AI and machine learning frameworks. • Familiarity with agile methodologies and collaborative tools. • Certifications in Power Platform, Azure AI, or M365 are a plus.
