Data Scientist (Python, ML, SQL) in Bengaluru, India - Jobeax
Vacancy description
Data Scientist (Python, ML, SQL) in Bengaluru, India
IMI
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
IMI plc We are a global specialist engineering company that creates breakthrough solutions. We are seeking a highly skilled and motivated Data Scientist with AI expertise and 6+ years of experience to join the Digital Solutions team. The role will drive business value through advanced analytics, machine learning, artificial intelligence, and data-driven decision support across enterprise processes. The successful candidate will partner with business stakeholders, data engineers, software developers, and digital transformation teams to identify opportunities, design AI-powered solutions, and deploy scalable models into production. The role requires a strong blend of hands-on data science, Generative AI, cloud technology, stakeholder engagement, and practical delivery experience. AI & Machine Learning Development Design, develop, and deploy machine learning and AI solutions to address complex business challenges. Build predictive, prescriptive, and classification models using structured and unstructured data. Develop and optimize Generative AI solutions, including LLM-based applications, RAG architectures, AI assistants, and intelligent automation workflows. Evaluate, monitor, and continuously improve model performance and accuracy. Data Science & Analytics Perform exploratory data analysis to identify trends, opportunities, and business insights. Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, governance, and compliance standards are maintained across analytical solutions. Support deployment, monitoring, and lifecycle management of AI and machine learning models. Digital Innovation & Automation Identify opportunities to leverage AI, automation, and advanced analytics to improve productivity and business performance. Drive innovation initiatives utilizing emerging technologies such as Generative AI, Agentic AI, Computer Vision, NLP, and Intelligent Automation. Contribute to enterprise AI strategy, standards, and best practices. Present findings, recommendations, and AI roadmaps to leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science libraries. Strong experience with machine learning, deep learning, and statistical modelling. Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering. Experience with Microsoft Azure cloud platform, AWS and Google Cloud would be added advantage. Knowledge of MLOps, model deployment, monitoring, and automation frameworks. Ability to solve complex business problems using data-driven approaches. Strong quantitative reasoning and statistical analysis capabilities. Ability to align AI initiatives with business outcomes and ROI objectives. diversity is very important to us, and we want to receive applications from people
... (spatial autocorrelation / Moran's I), and catchment/trade-area analysis.- Python geospatial stack: Hands-on with GeoPandas, Shapely, Rasterio, GDAL/OGR, and spatial SQL via PostGIS (or BigQuery GIS). Comfortable manipulating vector and raster data at scale.- Machine learning for tabular/spatial problems: Solid grounding in regression ...
... YOLO or other object-detection models - Dataset annotation tools - REST APIs and Postman - pytest or other automated testing frameworks - Linux/Ubuntu - Docker - SQL/databases - Simulation environments - Robotics, drones, autonomous systems, or sensor data - MAVLink / ROS / ROS 2 You do not need to know everything listed above ...
... in:- Data Operations- Production Data Engineering- Data Platform Support- Data Pipeline Monitoring & Troubleshooting- Not looking for purely development-focused Data Engineers or DevOps/SRE https://jobeax.com/link/V6ZwWogXLIs5s3d8 Stack:Snowflake, dbt, Apache Airflow, Fivetran, Cloud Storage, SQL, Python, Bash, CI/CD, Git, ...
... in:- Data Operations- Production Data Engineering- Data Platform Support- Data Pipeline Monitoring & Troubleshooting- Not looking for purely development-focused Data Engineers or DevOps/SRE https://jobeax.com/link/V6ZwWogXLIs5s3d8 Stack:Snowflake, dbt, Apache Airflow, Fivetran, Cloud Storage, SQL, Python, Bash, CI/CD, Git, ...
... Develop analytics dashboards and reporting solutions using Amazon QuickSight.- Implement CI/CD pipelines and Infrastructure as Code (IaC).- Monitor and maintain data platforms using observability and monitoring tools.- Collaborate with Data Scientists, ML Engineers, and Backend Developers.- Support AWS cloud migration and ...
... expertise in Python and SQL, along with experience in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) - Experience with real-time data processing, anomaly detection, and time-series forecasting in production - Experience working with large datasets and big data technologies like Spark and Kafka ...
... end-to-end data architecture on Azure covering ingestion, storage, transformation, governance, and consumption layers.- Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, ...
... CI/CD tools and supporting ML productionization while mentoring fellow team members. 5+ years of experience in data engineering with significant hands-on work in Databricks - Strong proficiency in PySpark, Spark SQL, Delta Lake, and Delta Live Tables - Advanced skills in Python and SQL - Experience with Unity Catalog, cluster ...
Advanced SQL & T-SQL : Expert-level database query optimization, view creation, and deep structured analytical querying Advanced Programming : Hands-on capability in Python for exploratory data analysis (EDA), hypothesis testing, and implementing fundamental Machine Learning (ML) models Microsoft BI Stack : Solid foundation ...
... with RAG, GANs, VAEs and other Generative AI models . - Strong knowledge of NLP and Computer Vision techniques. - Good understanding of statistics, probability, data mining and data cleaning . - Strong experience with SQL and Python ML packages such as Scikit-learn, XGBoost and Keras. - Experience in building data pipelines ...
... report performance tuning, and implementing Row-Level Security (RLS).Secondary Skills:- Experience with AI/ML integration platforms (e.g., Azure OpenAI, Copilot, Python/R scripts for predictive analytics in Power BI).- Knowledge of cloud data engineering & tools (Azure Data Lake, Synapse, Databricks) and automated pipeline integrations.- ...
... solutions in production. - Experienced in providing technical solutions and working closely with architecture and dev teams to derive the desired outcome. - Strong SQL skills. - Should be well versed with agile framework like Kanban, Scrum, and SAFe (Optional) LLM, ML, NLP, Python, AWS, Snowflake, SQL Aligning with our brand ...
... https://jobeax.com/link/3PYgDWHIOUvCkACq to Have : - Experience with Python or R for statistical analysis, data wrangling, or ML-adjacent workflows.- Familiarity with dbt or similar data transformation tools and modern analytics engineering practices.- Background in healthcare technology, AI/ML products, or regulated data environments.- Experience ...
... abiding by performance constraints, for efficiency and scalability. Comfortably lead designing and building of development to production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo. Expertise in JSON, XML, text parsing using Dataflow, Python, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...