Data Science Consultant

As a Data Science Consultant at S&C GN, you will be a key contributor to innovative projects and impactful solutions in various domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals, and Forest Product. Your role will involve hands-on technical expertise, client delivery management skills, and the execution of cutting-edge projects in Generative AI, data science, and cloud-based analytics. Your responsibilities will include: Data Science and Engineering: - Performing advanced analytics using Python, SQL, and Pyspark with machine learning frameworks. - Developing predictive models, recommendation systems, and optimization solutions tailored to business needs. - Managing and preprocessing large, complex datasets to ensure efficient pipelines and advanced feature engineering. - Building MLOps pipelines for model training/retraining, monitoring, and scalability. Dashboard and Reporting: - Developing dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. - Presenting results and recommendations to stakeholders, utilizing data storytelling to drive decision-making. Cloud Platform Expertise: - Designing and implementing end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. - Leveraging cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. Generative AI Expertise: - Leading the development of Generative AI-based applications and solutions using frameworks like LangChain, LlamaIndex. - Driving model evaluation strategies with advanced metrics (e.g., BLEU, ROUGE, FID) and optimizing performance for production-grade applications. - Architecting deployment solutions, including API development and seamless integration with existing systems. Required Qualifications: - Experience: 4+ years in data science. - Education: Bachelor's/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 Product. Technical Skills: - Programming: Proficiency in Python, SQL, and Pyspark. - GenAI Expertise: Hands-on experience in building GenAI-based applications and solutions, deploying GenAI applications in production. - Cloud Platforms: Experience with Azure/AWS/GCP. - Visualization Tools: PowerBI/Tableau. Preferred Skills: - Strong analytical and problem-solving skills with a results-oriented mindset. - Good communication and stakeholder management capabilities. - Ability to generate business insights and present them effectively to stakeholders. Note: This role requires 4-8 years of experience in data science and a Bachelor's/master's degree in computer science, statistics, applied mathematics, or a related field. Join us at Accenture and be part of our dynamic team.,