Data Scientist, Gandhinagar
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Job Nature: Full time
India
15k - 25k
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod temporinc ididunt ut dolore magna aliqua.
India
15k - 25k
About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services. Requirements- Strong proficiency in statistical analysis, data mining, and machine learning, NLP techniques. Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in programming languages such as Python, and familiarity with libraries like NumPy, Pandas, and SciPy. Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly, and BI tools like Tableau or Power BI. Experience with SQL and NoSQL databases. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work with large, complex datasets. Strong communication and collaboration skills for effectively working with cross-functional teams, including data engineers, software developers, and business stakeholders. Qualification Bachelor’s degree in Engineering (B.Tech/BE), Computer Applications (MCA), or a related field is required. A Master’s or Ph.D. in a Data Science, Machine Learning/AI or relevant field is highly preferred and will be considered a strong advantage. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying data science solutions. Experience with deep learning techniques and frameworks. Knowledge of natural language processing (NLP) and computer vision techniques.
0 Years
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