at KPMG India
Full TimeRoles & responsibilities
We are seeking a skilled Data Scientist to join our growing team. The ideal candidate will have a passion for harnessing data to solve complex problems, drive decision-making, and create value. You will work closely with cross-functional teams to analyze data, develop predictive models, and contribute to data-driven strategies that support our business objectives.
Key Responsibilities:
•Data Analysis & Modeling: Analyze large datasets to extract insights and build predictive models to solve business problems. •Machine Learning Development: Design, implement, and evaluate machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. •Data Wrangling: Clean, transform, and prepare data from multiple sources for analysis and modeling purposes. •AutoML Implementation: Utilize AutoML tools to streamline model selection and hyperparameter tuning, enhancing model performance and efficiency. •Cloud Computing: Leverage cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage, processing, and deployment of machine learning models. •Collaboration: Work closely with cross-functional teams including data engineers, product managers, and stakeholders to define project requirements and translate business needs into data solutions. •AI Impact Assessment: Evaluate and implement AI technologies that can enhance data science processes and outcomes, keeping abreast of industry trends and emerging technologies. •Documentation & Reporting: Document methodologies, model performance, and insights for stakeholders, ensuring transparency and reproducibility of analytics processes.Mandatory technical & functional skills
•Proficiency in programming languages such as Python or R and SQL. •Experience with machine learning and deep learning libraries and frameworks, including TensorFlow, Keras, and Scikit-learn. •Strong knowledge of data wrangling tools and techniques (e.g., Pandas, NumPy). •Familiarity with cloud computing services (Preferably Azure) for data storage and processing. •Understanding of AutoML tools and frameworks to automate model selection and hyperparameter tuning. •Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) to present insights effectively. •Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.Preferred technical & functional skills
—Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders —Ability to work independently with minimal supervision, and escalate when neededKey behavioural attributes/requirements
—Ability to mentor junior developers —Ability to own project deliverables, not just individual tasks —Understand business objectives and functions to support data needsRoles & responsibilities
We are seeking a skilled Data Scientist to join our growing team. The ideal candidate will have a passion for harnessing data to solve complex problems, drive decision-making, and create value. You will work closely with cross-functional teams to analyze data, develop predictive models, and contribute to data-driven strategies that support our business objectives.
Key Responsibilities:
•Data Analysis & Modeling: Analyze large datasets to extract insights and build predictive models to solve business problems. •Machine Learning Development: Design, implement, and evaluate machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. •Data Wrangling: Clean, transform, and prepare data from multiple sources for analysis and modeling purposes. •AutoML Implementation: Utilize AutoML tools to streamline model selection and hyperparameter tuning, enhancing model performance and efficiency. •Cloud Computing: Leverage cloud platforms (e.g., AWS, Google Cloud, Azure) for data storage, processing, and deployment of machine learning models. •Collaboration: Work closely with cross-functional teams including data engineers, product managers, and stakeholders to define project requirements and translate business needs into data solutions. •AI Impact Assessment: Evaluate and implement AI technologies that can enhance data science processes and outcomes, keeping abreast of industry trends and emerging technologies. •Documentation & Reporting: Document methodologies, model performance, and insights for stakeholders, ensuring transparency and reproducibility of analytics processes.Mandatory technical & functional skills
•Proficiency in programming languages such as Python or R and SQL. •Experience with machine learning and deep learning libraries and frameworks, including TensorFlow, Keras, and Scikit-learn. •Strong knowledge of data wrangling tools and techniques (e.g., Pandas, NumPy). •Familiarity with cloud computing services (Preferably Azure) for data storage and processing. •Understanding of AutoML tools and frameworks to automate model selection and hyperparameter tuning. •Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn) to present insights effectively. •Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.Preferred technical & functional skills
—Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to peers and stakeholders —Ability to work independently with minimal supervision, and escalate when neededKey behavioural attributes/requirements
—Ability to mentor junior developers —Ability to own project deliverables, not just individual tasks —Understand business objectives and functions to support data needsThis role is for you if you have the below
Educational qualifications
-Bachelor's degree in Computer Science or a related field (or equivalent work experience).Work experience
•9+ Years of Experience
