Senior Associate Data Engineer Advisory OneCloud Pan India
Job Description
- Hands-on experience Data Analytics tools with cloud platforms (AWS, Azure, GCP)
- AI/ML, NLP, or deep learning
- Familiarity with MLOps practices for deploying and monitoring models in production.
- Collect, clean, and explore structured and unstructured datasets.
- Design, build, and validate machine learning models.
- Develop and select relevant features to improve model performance and accuracy.
- Apply statistical methods to analyze business problems and validate hypotheses.
- Stay up to date with the latest data science techniques, libraries, and industry trends.
- Work closely with data engineers, analysts, product managers, and business teams.
- Deploy models into production environments and monitor their performance over time.
- Python
- PyTorch or TensorFlow
- Sklearn
- Reward contributions
- Support wellbeing
- Offer inclusive benefits
- Flexibility programmes
- Mentorship
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Operations
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Job Description & Summary: Data Scientist with 3+ years of experience in leveraging data to deliver actionable insights and build scalable machine learning models. The ideal candidate will have strong statistical and analytical skills, a deep understanding of data science workflows, and proficiency in Python, SQL, and machine learning libraries like Scikit-learn, TensorFlow, or PyTorch.
Responsibilities:
- Collect, clean, and explore structured and unstructured datasets to uncover patterns, trends, and insights.
- Design, build, and validate machine learning models for classification, regression, clustering, recommendation systems, etc.
- Develop and select relevant features to improve model performance and accuracy.
- Apply statistical methods to analyze business problems and validate hypotheses.
- Stay up to date with the latest data science techniques, libraries, and industry trends.
- Work closely with data engineers, analysts, product managers, and business teams to integrate data science solutions into products and workflows.
- Deploy models into production environments and monitor their performance over time.
Mandatory skill sets:
Python, PyTorch or TensorFlow, Sklearn
Preferred skill sets:
- Hands-on experience Data Analytics tools with cloud platforms (AWS, Azure, GCP)
- AI/ML, NLP, or deep learning
- Familiarity with MLOps practices for deploying and monitoring models in production.
Years of experience required:
4 to 10 years
Education qualification:
B-Tech/M-Tech
Education
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
Required Skills
Python (Programming Language)
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
