Job Title - Data Science Consultant S&C GN
Management Level :Consultant
Location:Bangalore / Gurugram / Mumbai / Hyderabad / Chennai
Must have skills:Gen AI / ML, SQL, Python, Azure / AWS, ML Ops
Good to have skills:Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product
Job
Summary:We are seeking a highly skilled and motivated
Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as
Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product. This role requires
hands-on technical expertise, and
client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics.
Key Responsibilities
. 1.Data Science and Engineering
Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks.Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data.Build MLOps pipelines for model training / retraining, monitoring, and scalability2.Dashboard and Reporting
Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau.Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making.3.Cloud Platform Expertise
Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects.Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale.4.Generative AI Expertise
Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndexDrive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications.Architect deployment solutions, including API development and seamless integration with existing systems.Required
Qualifications
Experience:4+ years in data scienceEducation:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field.Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest ProductTechnical Skills
Programming:Proficiency in Python, SQL and Pyspark.GenAI Expertise:Hands-on experience in building GenAI based applications and solutionsExperience in deploying GenAI application in production.Cloud Platforms:Experience with Azure / AWS / GCPVisualization Tools:PowerBI / TableauPreferred Skills
Strong analytical and problem-solving skills with a results-oriented mindset.Good communication and stakeholder management capabilities.Very good in generating business insights and presenting to stakeholders.
Qualifications
Experience:4-8 years in data science
Educational Qualification:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.
Employment Type: Full Time, Permanent
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