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.
... 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 ...
Data Scientist Bangalore | 3+ Years Experience Role Overview Looking for a Data Scientist with strong expertise in Machine Learning, Python, SQL, and Optimization to build scalable, production-ready analytical solutions. Key Skills Machine Learning – Regression, Classification, Clustering, Forecasting, Recommendation Systems ...
... overfitting, vanishing gradients, dead ReLUs, etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training ...
... composable platform, Aera empowers organizations to optimize and automate all types of decisions, across every business area. We are looking for an Associate Data Scientist who is exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will ...
... (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 ...
... technologies - Ability to explain GenAI to non-technical audiences across many different industries. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. - Experience in ML Engineering and MLOps, MLFlow - Strong understanding of statistical and machine learning concepts - Experience ...
... technologies - Ability to explain GenAI to non-technical audiences across many different industries. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. - Experience in ML Engineering and MLOps, MLFlow - Strong understanding of statistical and machine learning concepts - Experience ...
... 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 ...
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 ...
... 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 ...
... 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 ...
... NLP/ASR, or document intelligence - Proven ability to present complex model outputs to non-technical audiences credit committees, CXOs, regulators - Strong Python and SQL ; fluency with cloud-based data pipelines and experiment tracking - Experience with low-resource or multilingual models Prior experience in an early-stage ...
... 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, ...
... security, monitoring, and production https://jobeax.com/link/RSANcQiA8tApkKIk Skills & Experience :- 6 - 12 years of professional AI/ML experience.- Expert Python and SQL skills.- Hands-on experience with LLMs, Generative AI, RAG, LangChain, LangGraph, Agentic AI, Prompt Engineering, and Vector Databases.- Experience with ...
... https://jobeax.com/link/72xljNf4GfrhBYcv Skills:- 3 - 5 years in MLOps, LLMOps, ML Engineering, or AI Engineering.- Strong Python.- Hands-on Databricks and/or Azure ML.- Experience with Deep Learning, LLMs, SLMs, RAG, and Hugging Face.- Experience deploying PyTorch and TensorFlow models.- Strong Kubernetes, Databricks, and GPU ...