Data Science and Machine Learning Lead

3 days ago

Gurgaon, Haryana, India KPMG India Full time

About KPMG India

KPMG entities in India are professional services firms, affiliated with KPMG International Limited. Established in August 1993, our professionals leverage the global network of firms, conversant with local laws, regulations, markets, and competition.

We have offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada.

Equal Employment Opportunity Information

We strive to provide equal opportunities for all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status.

We value diversity and request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal will not be prejudicial to you.

Job Responsibilities

  • Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
  • Create Proof of Concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects
  • Influence machine learning strategy for Digital programs and projects
  • Make solution recommendations that balance speed to market and analytical soundness
  • Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
  • Develop analytical/modeling solutions using commercial and open-source tools (Python, R, TensorFlow)
  • Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations
  • Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories
  • Create algorithms to extract information from large, multiparametric data sets
  • Deploy algorithms to production to identify actionable insights from large databases
  • Compare results from various methodologies and recommend optimal techniques

Required Skills and Qualifications

  • Bachelor of Science or Bachelor of Engineering at a minimum
  • A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to cycle hypothesis through the discovery phase of a project
  • Advanced skills with statistical/programming software (R, Python) and data querying languages (SQL, Hadoop/Hive, Scala)
  • Good hands-on skills in feature engineering and hyperparameter optimization
  • Experience producing high-quality code, tests, documentation
  • Experience with Microsoft Azure or AWS data management tools (Azure Data Factory, Data Lake, Azure ML, Synapse, Databricks)
  • Understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and/or deep learning methodologies
  • Proficiency in statistical concepts and ML algorithms
  • Good knowledge of Agile principles and process
  • Ability to lead, manage, build, and deliver customer business results through data scientists or professional services teams

Estimated Salary: ₹1,200,000 - ₹1,800,000 per annum, depending on experience and qualifications

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