Data Scientist (Python, ML, SQL) in Bengaluru, India
AngelONE
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Angel One is one of India's fastest growing fin-techs, on a bold mission to make investing simple, smart, and inclusive for every Indian. With over 3+ crore clients, we're building at scale – and building for impact.
Our Super App helps clients manage their investments, trade seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science.
Be part of a team that's scaling sustainably, thinking big, and building for the next billion.
Tech Systems that run at Scale: From AI to real-time data infra, you'll work on tech that's ahead of the curve and solve problems that truly matter. Build one of India's Leading Fintech Platform: We're not just disrupting finance – we're shaping how billion Indians access wealth. Empowered Growth: We invest in your growth and empower you to explore your full potential. Exceptional Benefits: Our comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more.
Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming skills with minimum 3-6 years of experience in Python Experience working with databases and expert knowledge of SQL Proficiency in statistical ML algorithms and statistics analysis methods Good knowledge of machine learning tools such as Scikit-Learn, Pytorch/Tensorflow Experience in Deep Learning applications is a plus Experience with Big Data technologies, e.g.: Spark, Hive, and Presto, and ETL pipelines is a plus
Diversity, Equity and Inclusion at Angel One At Angel One, our culture is rooted in Diversity, Equity, and Inclusion. As an equal opportunity employer, we welcome people from all backgrounds, irrespective of caste, religion, gender, marital status, sexuality, disability, class, or age. We believe everyone's unique experiences and viewpoints make us stronger together.
... Taboola's mission to deliver performance at scale. 1+ years of professional experience in an enterprise software environment - 1+ years of hands-on experience with HTML, CSS, JavaScript, ReactJS, and Python - Experience with databases such as MySQL or Oracle - Strong ability to understand and implement web-based integrations - ...
... on it with a slick UX. 7+ years of professional software engineering, with Python as your primary language. This is a Python role, not a backend role where Python happens to be in the stack. - FastAPI, or a similar async Python framework such as Starlette, plus SQLAlchemy. Strong SQL and relational database skills. You ...
... MLflow) and containerization (Docker) - Experience with time-series forecasting, computer vision applications, or hybrid modeling approaches (physics-informed ML, combining domain knowledge with ML) - Familiarity with Agile development methodologies - Knowledge of data engineering, data warehousing, and SQL - Experience ...
... operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide. Job Title: Data Scientist – Azure Generative AI (GenAI) We are seeking a highly skilled and innovative Data Scientist with hands-on experience in Azure AI services , particularly ...
... highly preferred). Experience working in cross-functional and cross-Business-Group environments. Basic SQL knowledge. Basic ETL knowledge (Alteryx and/or KNIME). Basic Microsoft Power Automate skills. Basic Bosch Digital File Service knowledge. Understanding of data interfaces, data validation, and automation concepts.
... ETL tooling such as SSIS, Azure Data Factory, or equivalent, along with scripting (PowerShell/Python) for data validation and automation. Good understanding of data quality, de-duplication, cleansing, and validation techniques. Working knowledge of cloud data platforms (Azure SQL, Azure Synapse, or AWS RDS/Redshift) and hybrid ...
... Requirements Requirements Design and develop scalable backend services and RESTful APIs using Flask or FastAPI, or Django (DRF). Develop robust integration with SQL (PostgreSQL preferred) and NoSQL databases like MongoDB. Optimize performance and scalability of applications handling large volumes of data. Write clean, modular, ...
... looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All ...
... about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools for collaborative development experience writing SQL and working with relational ...
... contribute to organizational initiatives, innovation programs, and knowledge-sharing https://jobeax.com/link/NWRTOHArny83GSG0 :- 5 to 8 years of experience in Data Science, Machine Learning, and Analytics.- Strong proficiency in Python, SQL, Statistics, and Machine Learning algorithms.- Hands-on experience with Generative ...
... Experience with cloud-native data platforms and services such as: AWS: S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshift Azure: ADLS, ADF, Event Hubs, Synapse, Databricks, Azure SQL Strong programming skills in Python, Scala, or Java . Experience in Fraud Analytics, data lakes, ML pipelines, and modern data platform architectures.
... for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions for high-volume batch and real-time workloads, including data ingestion, transformation, ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
... trends in ML/AI and proactively apply emerging techniques where https://jobeax.com/link/xsE6UjgkMYiS07j0 candidate profile :- 3 years of hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, ...
... obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work ...
... Responsibilities Design, develop, test, and maintain applications using Python . Develop reusable, scalable, and maintainable Python code. Write complex and optimized SQL queries , stored procedures, joins, subqueries, and CTEs. Work with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server . Develop and integrate ...
... Responsibilities Design, develop, test, and maintain applications using Python . Develop reusable, scalable, and maintainable Python code. Write complex and optimized SQL queries , stored procedures, joins, subqueries, and CTEs. Work with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server . Develop and integrate ...
... mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current ...