Data Scie

PwC; Hyderabad, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC in Hyderabad is seeking a data science leader to drive analytics initiatives and deliver actionable insights. You will guide teams in applying advanced analytics and statistical techniques to solve business problems.

You will develop data-driven strategies using machine learning, predictive modeling and AI, while overseeing data pipelines to support large-scale processing. Excellent English communication and collaboration with stakeholders are essential.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 4+ years of experience in data science or analytics.
• Proficiency in English (oral and written).

Responsibilities

• Lead data science initiatives turning raw data into actionable insights for decision-making
• Guide teams in applying analytics and statistics to solve complex business problems
• Develop and implement data-driven strategies using ML, predictive modeling and AI
• Oversee data pipelines and data lakes for large-scale data processing
• Collaborate with stakeholders to identify data science opportunities for growth
• Use R and MATLAB to develop and refine data models and algorithms
• Promote innovative technologies and methodologies within data science teams
• Ensure data quality and integrity via rigorous validation and troubleshooting
• Mentor junior staff and foster a culture of continuous learning
• Engage in strategic planning to align data science projects with goals

Skills

Data science algorithms

Machine learning

Deep learning

Natural language processing

Data-driven decision making

Education

Bachelor's degree

Tools

R

MATLAB

Job description

Responsibilities

- Leading data science initiatives to transform raw data into actionable insights for informed decision-making
- Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
- Developing and implementing data-driven strategies using machine learning, predictive modeling, and artificial intelligence
- Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
- Collaborating with stakeholders to identify opportunities for leveraging data science to drive business growth
- Utilizing programming languages such as R and MATLAB to develop and refine data models and algorithms
- Promoting the use of innovative technologies and methodologies within data science teams
- Confirming data quality and integrity through rigorous data validation and troubleshooting processes
- Mentoring junior staff and fostering a culture of continuous learning and development within the team
- Engaging in strategic planning and execution to align data science projects with organizational goals

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in data-driven decision making and predictive modeling
- Managing data pipelines and confirming data quality
- Leveraging programming languages such as R and MATLAB
- Applying natural language processing and neural network methodologies