Data Scientist/Python Developer in Bengaluru, India

... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...

... 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, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...

30k

... 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 with a team of expert Data Analysts/Scientists/Engineers and a team of expert and dedicated developers. The key focus of this role is ...

• Hybrid
• On-site

... 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 ...

• Remote

Private Work at office Immediate start Remote job Home office Flexible hours

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...

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 ...

... production-ready code and perform data analysis with Python and SQL Create workflows for model development and apply feature engineering methods Use Azure AI Search to make data and models easier to consume for business needs Coordinate with developers and project managers using GitLab and Jira Refine data pipelines and tune model performance ...

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 ...

... with the development of reliable, production-ready data products for maritime and commodity-flow analytics. The successful candidate will work extensively with Python and PySpark, use R where appropriate, and collaborate with product managers, industry analysts, data scientists and technology partners. The role also contributes ...

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, ...

• Hybrid

13k

... The company had 2025 revenue of approximately $8.8 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit . Role Description Data Scientists at Eastman provide actionable insights using advanced analytics to help the company make better and faster decisions. Our centralized Data & Analytics ...

... 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, ...

... Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand data issues and Conduct root cause analysis. Prepare Ageing report on the pending issues and follow up to closure Key Skill SQL / Python / Java / Data Governance Drive ...

• Full-time

Full time Local area

• Remote
• Full-time

... 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 ...

About the Role : We are looking for a Data Scientist who combines strong machine learning fundamentals with a hands-on, exploratory mindset. In this role, you will own the full lifecycle of machine learning solutions - from framing the business problem and exploring data to building models and deploying them into production. ...

• Remote
• Contract

About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...