Company:
Mercer

Description:

Develops Data acquisition processes
• Prepares data for consumption by BI and ML/AI
• Uses data to discover tasks that can be automated
• Translates business requirements in to Data Science solutions leveraging strong business acumen
• Demonstrates expertise in three core pillars of data science tool kit - Data Modeling & Transformation, Data Storytelling and Data Visualization
- Responsible for Machine Learning: builds, calibrates, and tests machine learning models
- Responsible for Transformation: feature creation, data cleansing and re-expression
- Responsible for Visualization: exploratory data analysis, intuitive presentation of findings
- Duties include Data Science storytelling in Power BI, PowerPoint and other platforms
• Deploys standard data mining protocol to be sure all subsequent analytics, modeling, A.I., and machine learning algorithms operate on unbiased and relevant data
• Adequately deploys a strategy for models and analytics and operationalize them to applications and data lake/warehouse
• Maintains health and procedures of active machine learning models for continued success
• Collaborating with Azure Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
• Fosters collaboration between DevOps and data science teams within organization to build ML Ops practices
• Leads the team of data engineers and data visualisation experts

Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X.

Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.