14.0 - 24.0 years

0 - 0 Lacs

hyderabad, bangalore, chennai

On-site

Meteorologists study the weather and atmosphere and use scientific research and mathematical models to predict patterns and forecast changes in weather conditions. This involves investigating and researching into the physical nature of the laws governing air movement, pressure and temperature changes to determine the causes which bring about the various atmospheric conditions. Work activities In weather forecasting, typical work activities involve: Using sophisticated computer systems to collate the flow of data from satellite images, radar, remote sensors and weather stations all over the world. Using physical and mathematical models to analyse and interpret the results to make short- and long-range weather forecasts. Presenting weather information to a wide range of communities, including aviation, shipping, the utilities, the armed forces, farmers, the insurance industry, the emergency services and the general public. Liaising with colleagues and clients from around the country and worldwide. Studying air flow, clouds and precipitation, and climate change. Developing mathematical representations to help predict atmospheric processes and improve the accuracy of forecasts. Monitoring and predicting climate change, pollution, ozone depletion and their effects on the global environment. Researching seasonal forecasting, ocean forecasting and climate prediction. Presenting findings to colleagues, governments and policy makers.

Posted 2 days ago

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Senior Data Scientist Brakes India

5.0 - 7.0 years

15 - 20 Lacs

Chennai

Work from Office

About the Company: Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization. About the Role: We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business. Responsibilities: The Senior Data Scientist will Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. Work closely with stakeholders to define project goals and deliver actionable insights. Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. Present findings and recommendations to both technical and non-technical audiences. Prepare clear documentation for methodologies and results. Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. Mentor data scientists and support in organizational skilling in AI. Qualifications: Masters or bachelors degree in computer science, Data Science, Statistics, or a related field. Required Skills: 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, SQL Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). Experience with deep learning frameworks and natural language processing (NLP). Understanding of business process and ability to translate business needs into technical requirements. Experience in AI/ML deployment Manufacturing industry is highly desired. Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills. Experience in setting up CoEs or analytics practices is a plus. Why Join Us? Opportunity to be part of an Advanced Analytics CoE setup. Work on cutting-edge AI & ML projects in manufacturing. Direct impact on business-critical decisions and process optimization. Collaborative work culture with a focus on innovation and growth.

Posted 3 weeks ago

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