Data Scientist (Python, ML, SQL) in Bengaluru, India
FundsIndia
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, risk-return patterns, and fund-level insights that support advisors and investors in making better decisions. Forecasting model- build predictive models that helps forecast revenue, churn, redemption etc Customer personalization and growth - develop segmentation, recommendation, and engagement models that tailor the investor experience and improve conversion, retention, and SIP continuity. 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 in statistics and machine learning.
Experience building dashboards, performance reports, or measurement frameworks that stakeholders actually use.
Clear, confident communicator who can explain technical findings to non-technical audiences and defend a recommendation in the room.
IITs, IIMs, ISI, BITS Pilani, or equivalent top-tier institutes) in a quantitative discipline - Computer Science, Statistics, Mathematics, Engineering, or Economics.
... Statistics, or a related field. - 8-15 years of experience in data analysis or a similar role. - Proficiency in Databricks and Spark for big data processing. - Strong SQL skills for data querying and manipulation. - Experience with data visualization tools like Tableau or Power BI. - Knowledge of Python or R for data analysis and ...
... Science, Data Science, Mathematics, Statistics, or related fields. A strong academic pedigree is highly preferred. Overview: We are seeking a talented and motivated Data Scientist to join our team. The ideal candidate will have 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. ...
... Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a https://jobeax.com/link/zVhzh4YeJ9DeO7c3 Skills :- Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.- Strong understanding of statistical methods, predictive modeling, and algorithm design.- Familiarity with ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...
... Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks ...
... and optimize complex SQL queries views and stored procedures for performance and accuracy Perform data validation quality checks and reconciliation to ensure data integrity Troubleshoot and resolve data pipeline failures and performance issues Collaborate with data analysts data scientists and business teams to understand ...
... bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, ...
Work Experience Required: 8 - 12 Years - Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) - Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. - Good understanding in statistics, and ability to design statistical ...
... statistics, machine learning, predictive modelling, and experimentation.- Strong hands-on experience with Python, SQL, Pandas, NumPy, Scikit-learn and relevant ML frameworks.- Experience with cloud-based data and ML platforms is preferred.- Strong understanding of model deployment, MLOps, and production analytics.- Excellent ...
# AI Engineer / Data Scientist - GenAI & Agentic AI- Experience : 5-7 Years- Location : Bangalore- Joining : Immediate to 15 Days- Job Summary :We are looking for a hands-on - AI Engineer / Data Scientist- with strong experience in - Generative AI, Agentic AI, LLMs, RAG, and Python- to design, develop, deploy, and optimize ...
... standards are followed. Work with DevOps teams for deployment and CI/CD implementation. Prepare technical documentation and support releases. Strong proficiency in Python programming. Experience with frameworks such as Django, Flask, or FastAPI. Hands-on experience with databases like MySQL, PostgreSQL, MongoDB. Experience with ...
Partner with Product to spot high-leverage ML opportunities tied to business metrics. build reliable features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering ...
... Expert proficiency in Python (including OOP and design patterns) for data science. Comfortable coding in Jupyter Notebook and VS Code. Hands-on experience with ML libraries (scikit-learn, TensorFlow, PyTorch) and data libraries (pandas, NumPy). Familiarity with big data tools (Spark, Dask, etc.) and version control (Git). ...
... 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 ...
... experience. - Strong hands-on development experience using Python. - Experience building backend services, APIs, and microservices. - Strong fundamentals in data structures, algorithms, and software design principles. - Experience working with SQL and database technologies. - AI / GenAI - Preferred Qualifications - Experience ...
... 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 ...
... 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, ...