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Develop genomic prediction models and data pipelines to improve plant breeding using ML and analytics.
Design grading criteria and evaluate data science work (EDA, ML pipelines, A/B tests) to improve AI model performance in a fully remote role.
Premium Graduate is Australia’s leading graduate employability specialist connecting students and graduates to top host companies around Australia. Since 2014 we have successfully transitioned over 10000 early career…
Job Title: Senior Manager, Data Science - Instamart Team: Data Science Years of Exp: 8 - 12 Location: Bangalore, India About the Team & The Role The Swiggy Data Science team is a vibrant group of scientists,…
Build AI and time-series models to optimize ferry operations and coastal services, turning data into predictive insights and digital products.
Build and maintain ML and GenAI models for financial clients using Python, prompt engineering, and predictive analytics to solve business problems.
Build predictive maintenance and fleet-optimization models from mining-equipment sensor data using Python, ML, and time-series techniques; create dashboards to guide operational decisions.
Build and deploy ML models (XGBoost, TensorFlow) to optimize financial decisions, using Python, SQL, and AWS for data pipelines and experimentation.
Lead the design and deployment of production-grade AI/ML solutions, including generative AI, LLMs, and agentic systems, to drive measurable business impact in Johnson & Johnson’s MedTech supply chain.
Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
Leads advanced data science projects, building ML/DL models and pipelines to extract insights and drive business decisions in a large financial institution.
Lead a data-science engine for adtech, building ML models (multi-armed bandits, ranking, LTV) in AWS to optimize ROAS and lead quality for insurance and advertiser verticals.
Lead a team of data scientists to design experiments, build predictive models, and shape AI product strategy through rigorous analytics and go-to-market insights.
Lead a team to design, build, and deploy AI/ML systems including generative models and vector databases, using Python, PySpark, SQL, and cloud platforms.
Lead a team to design, build, and deploy generative AI and ML models that solve real business problems while mentoring engineers and guiding stakeholders.
Lead AI/ML strategy and research for next-gen networking, focusing on GenAI, Graph ML, and cloud-scale systems to shape product vision and technical roadmap.
Build and own product analytics at a fast-growing Canadian insurtech startup, running A/B tests, pricing analysis, and dashboards to shape new insurance products and optimize existing ones.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve fintech problems like health analytics and operations modernization.
Lead a data-science team to build and deploy ML models that drive client impact, distilling complex problems into actionable insights.
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