Data Scientist (Python, ML, SQL) in Bengaluru, India - Jobeax
Vacancy description
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.
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... will be a plus Track record in managing deliveries of advanced analytical solutions in an agile & iterative model. - Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings ...
... defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid classical ML foundations — clustering (k-means, HDBSCAN, hierarchical), embeddings ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... Proficiency in Python, Pandas, NumPy, Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science or a related discipline. - Proficiency in generative AI and large language models. - Strong programming skills in languages such as Python or R. - Experience ...
... trees, ensemble methods, deep learning, neural networks, causal analysis). Practical experience in the full machine learning lifecycle from problem formulation, data acquisition, data cleaning to model building and deployment at enterprise https://jobeax.com/link/AsTDTp6i8kJTEE83 in Python or R, ML frameworks (PyTorch, TensorFlow, ...
... from building new infrastructure and services through to customer facing web and native mobile applications. We are hiring passionate AI Software Engineers (Data Scientists) with experience in Python Programming Language, Machine Learning and Generative AI to join our technology team. As a key member, you will play a crucial ...
Job Summary We are seeking an experienced Demand Forecasting Data Scientist with strong expertise in time series forecasting, machine learning, and supply chain analytics . The ideal candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... experience in deploying models to production. - Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure. - A track record of owning client communication and explaining results to non-technical stakeholders. - Experience in guiding and managing a team of data scientists.
... Scikit-learn) and statistical analysis. Time series models (Prophet, XGBoost, LSTM for Azure ML). Model performance tracking and retraining strategies using Azure ML. Exposure to AI based solutions in areas of Search, product meta-data generation or discovery. Experience in designing and implementing Data Science best practices ...
... based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, ...
LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...
... stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience. Knowledge of Python programming for data ...
LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...
Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions. ...
... 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, Lending, or Fintech. - Production-grade fluency in Python and advanced, highly analytical SQL. - Modern Stack Experience: Hands-on experience scaling data workflows over frameworks like Snowflake, Databricks, Spark, ...