People Consulting-Analytics-Staff
People Consulting-Analytics-Staff
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Job Description
At EY were all in to shape your future with confidence.
Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Analytics Consultant Chennai
Data Engineer specializing in Machine Learning is responsible for designing building and maintaining the data infrastructure that supports machine learning initiatives. The Data Engineer will develop and optimize data models implement data integration processes and ensure data quality and accessibility for analytics and machine learning applications. The ideal candidate will have a strong background in data engineering experience with ML frameworks and a passion for transforming data into actionable insights.
To qualify for the role you must have
- Bachelors degree in business
- Proven experience as a Data Engineer in a software development environment.
- Strong understanding of Data Integration
- Excellent communication facilitation and coaching skills.
- Ability to work collaboratively in a fast-paced environment.
- Proficient in Python and Machine Learning
Ideally you will also have:
Python Development:
- Develop test and maintain high-quality Python code
- Utilize advanced Python features including classes and object-oriented programming to create efficient and reusable code.
- Leverage data manipulation libraries such as Pandas and NumPy to process and analyze large datasets effectively.
- Machine Learning Integration:
- Collaborate with cross-functional teams to integrate ML models into existing systems and applications.
- Apply knowledge of basic ML algorithms including Linear Regression Logistic Regression and Random Forest to solve real-world problems.
- Identify key outcomes of ML models and communicate findings to stakeholders in a clear and concise manner.
Statistical Analysis:
- Conduct statistical hypothesis testing to validate model results and ensure the reliability of conclusions drawn from data.
- Interpret the results of statistical analyses and present insights in a client-facing manner ensuring that complex concepts are easily understood by non-technical audiences.
Cloud Technologies:
- Utilize Azure Cloud services and Azure Databricks for data processing model training and deployment.
- Optimize cloud resources to enhance performance and reduce costs associated with ML projects.
EY Building a better working world
EY is building a better working world by creating new value for clients people society and the planet while building trust in capital markets.
Enabled by data AI and advanced technology EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance consulting tax strategy and transactions. Fueled by sector insights a globally connected multi-disciplinary network and diverse ecosystem partners EY teams can provide services in more than 150 countries and territories.
Employment Type
Advisor
