Job Description
Summary
KPMG India is hiring a Senior Data Science professional for its Bangalore office, offering an exciting opportunity to work with cutting-edge analytics, AI/ML models, and data-driven solutions. This role is ideal for candidates with expertise in data analysis, predictive modeling, and advanced statistical techniques. As a Senior Data Science specialist at KPMG India, you will collaborate with cross-functional teams, develop innovative data solutions for clients, and contribute to high-impact projects across multiple sectors. Enhance your career with exposure to global analytics practices and industry-leading methodologies.
✅ Job Details at a Glance
| Job Title | Senior – Data Science |
|---|---|
| Location | Bangalore, Karnataka, India |
| Job Type | Full-time |
| Experience Required | 3–6 years in Data Science / Analytics |
| Education Required | B.E / B.Tech / Postgraduate in Data Science, Statistics, Computer Science, or related field |
| Shift | Day Shift |
| Industry | Data Analytics, Artificial Intelligence, Machine Learning, Business Consulting |
| Tools/Skills Required | Python, R, SQL, Machine Learning, AI Modeling, Data Visualization, Big Data Tools, Predictive Analytics |
| Reporting To | Data Science Team Lead / Manager |
📋 Key Responsibilities
- Develop and implement advanced machine learning and statistical models to solve complex business problems.
- Extract, clean, and transform large datasets to generate actionable insights for clients.
- Design and deploy predictive and prescriptive analytics solutions.
- Collaborate with cross-functional teams to understand client requirements and deliver tailored data solutions.
- Create interactive dashboards, visualizations, and reports to communicate analytical findings to stakeholders.
- Ensure data quality, model validation, and adherence to best practices in analytics workflows.
- Stay updated with emerging trends in AI, machine learning, and data science methodologies.
- Mentor junior data scientists and analysts, guiding them in modeling, analysis, and coding practices.
🧱 Skills & Expertise
- Strong knowledge of Python, R, SQL, and data manipulation tools.
- Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and statistical modeling.
- Solid understanding of data structures, algorithms, and predictive analytics techniques.
- Familiarity with big data platforms (Hadoop, Spark) and cloud analytics services is a plus.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and collaborate in fast-paced, client-focused environments.
🎓 Qualifications
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, or related field.
- 3–6 years of professional experience in data science, analytics, or AI/ML roles.
- Experience in developing production-ready models and handling large datasets.
- Certification in data science, machine learning, or AI is an added advantage.
🚀 Why Join KPMG India?
- Work in a global professional services firm delivering cutting-edge analytics and AI solutions.
- Gain exposure to high-impact client projects across multiple industries.
- Opportunity to mentor junior analysts and lead data-driven initiatives.
- Collaborate with international teams and leverage global analytics frameworks.
- Develop expertise in data science, machine learning, and business consulting solutions.
🔔 Apply Now
Elevate your career as a Senior Data Science professional at KPMG India, Bangalore.
👉 Apply now on the official KPMG India Careers page