SaT_DS_Senior Analyst

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Senior Analyst – Data Science

Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors.

The opportunity

We are looking for Senior Analyst – Data Science, proficient in Machine Learning and Python Programming who will be responsible for developing and delivering solutions applying Machine Learning and other Advanced Analytics techniques which will be used to implement the EY SaT mergers and acquisitions methodologies.

Your Key Responsibilities
• Develop and implement several Machine Learning and Time Series Forecasting Models
• Develop and implement Linear and Non-Linear Optimization Models; Present Scenario Analysis
• Troubleshoot, isolate and remediate code bugs.
• Work on and manage mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project leaders to analyse resource needs and gaps and devise alternative ways forward.
• Provide expert reviews for all projects within the assigned subject.

Skills And Attributes For Success
• Able to work creatively and analytically in a time-limited, problem-solving environment
• Loyal and reliable with high ethical standards
• Flexible, curious and creative, open for new things and able to propose innovative ideas
• Good interpersonal skills
• Team player, open, pleasure to work with and positive in a group dynamic
• Intercultural competence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
• Ability to manage multiple competing priorities simultaneously to meet tight deadlines and drive projects to completion – independently with minimal supervision

To qualify for the role, you must have
• Experience on Projects focusing on Data Science and Communicating results to clients
• Minimum 4 years of relevant work experience in developing and implementing Machine Learning Models- experience of deployment in Azure is preferred
• Conceptually Strong in areas of Linear and Non-Linear Regression, Statistics ,Time Series Forecasting, Linear and Non-Linear Optimization
• Experience in working with Natural Language Processing Techniques
• Minimum of 4-6 years of programming in Python
• Familiar with PowerBI
• Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management
• Willingness to mentor team members
• Solid analytical, technical