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.
... and scalable data infrastructure and data products in complex environments Development experience in one or more object-oriented programming languages (e.g. Python, Scala, Java, C#) Experience with SQL and noSQL database fundamentals, query structures and design best practices, including scalability, readability, and reliability ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... Computer Science, IT, Data Science, Mathematics, or a related field (Recent graduates from batch [Year] are welcome). Python: Solid foundational knowledge of Python programming (data structures, loops, functions, basic libraries like Pandas). PostgreSQL (SQL): Basic understanding of relational databases, table design, and ...
... ability to design, build, and operate Data Lakes or Data Warehouses. Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect). Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell). Strong command of at least one primary language (Scala, Python, etc.) and SQL. Experience with data catalog and metadata ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
... and lead our push into streaming and real-time fraud detection. We run on AWS and make extensive use of Scala Spark, dbt, and Terraform. Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and ...
... team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... Warehousing - 2+ years of hands-on experience with SSAS Tabular Models - Experience designing data ingestion and orchestration pipelines using Kafka, Snowflake, and Python - Hands-on experience with DBT for data modeling and pipeline development - Strong knowledge of SQL, ETL/ELT, Azure Data Factory, APIs, Azure Functions, and ...
... Troubleshoot and debug data-related issues. Required Skills Strong proficiency in Python. Experience with data libraries like Pandas, NumPy. Hands-on experience with SQL and relational databases. Knowledge of data visualization tools (Matplotlib, Seaborn, or similar). Experience in building data pipelines or ETL processes. Familiarity ...
... demonstrate technical and non-technical information, ideas, procedures, and processes Prior experience in an SAP and/or Informatica driven environment Ability to use SQL to analyze data Bachelor's degree related to Information Systems, Business or other relevant academic discipline with a minimum 4 years job experience in IT or ...
... a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, Kafka, SQL, Data Mesh, Starburst. Infrastructure and Cloud: Kubernetes, OpenShift, Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering ...
... optimize model performanceRequired Skills:- Strong experience in Python- Hands-on experience in Machine Learning, NLP, or Deep Learning- Good understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, and data pipelines- Familiarity with SQL and data processing- ...
... models - Hands-on experience working with large language models, building agents, prompt engineering, or model fine-tuning techniques. - Strong proficiency in Python & Data Science Toolkit - Extensive experience with Python-based data science tools and machine learning frameworks. Benefits & Perks - Excellent group health ...
Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...
Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...