IN_Senior Associate_AI Data Engineer_Data and Analytics_Advisory_Hyderabad

• Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems. 

• Establish and promote best practices in modeling, experimentation, and analytical rigor. 

• Convert real-world healthcare challenges into scalable data science solutions. 

• Collaborate with global stakeholders to influence product and business strategy. 

• Mentor and enhance the technical capabilities of the data science team. 

• Keep up to date with the latest advances in ML and healthcare analytics. 

• Conduct exploratory data analysis using visualizations to understand data patterns and structures. 

• Perform statistical analysis and hypothesis testing to validate assumptions. 

• Develop, deploy, evaluate, and fine-tune machine learning models for business challenges. 

• Design and implement scalable data pipelines, ETL workflows, and data integration strategies into Snowflake/Data Lake platforms. 

• Utilize advanced statistical and machine learning methods to derive actionable insights. 

• Lead AI research projects focused on innovative data analysis techniques. 

• Qualifications: 

• 4+ years of hands-on experience building data analytics, data engineering, and machine learning solutions. 

• Strong expertise with Azure Stack services and Snowflake. 

• Proficient in SQL with deep knowledge of dimensional modeling. 

• Experience creating interactive dashboards using Power BI or Tableau. 

• Familiarity with advanced statistical analysis, machine learning, and predictive modeling. 

• Programming proficiency in R or Python preferred. 

• Excellent communication skills with the ability to simplify complex technical concepts for diverse audiences. 

• Experience with AI Automation projects, including Generative AI or Agentic AI, is a plus. 

B.E