Bengaluru Karnataka Medical research scientist Jobs – 160 Open Jobs Today

Credit Data Scientist & AI Agents
Rippling —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- SQL
- Bachelor's degree
9d
Sr Eng, Cybersecurity
Baxter —Bengaluru, Karnataka
- Azure
- B.Sc
- English
- Paid time off
Eng II, V&V
Baxter —Bengaluru, Karnataka
- Data analysis skills
- English
- Research
- Paid time off
Senior Staff AI Scientist
GE HEALTHCARE —Bengaluru, Karnataka
- Microsoft Access
- Doctoral degree
- Computer Science
Lead Data Scientist
SatSure Analytics India —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Paid time off
Principal Applied Science Manager - Foundation Models, Agents & Trust Systems
Microsoft —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
9d
Director of AI/ML Research & Development
SatSure Analytics India —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
- Health insurance
- Paid time off
Engineer II, Software Test
Thermo Fisher Scientific —Bengaluru, Karnataka
- Full-time
- Medicine
- Azure
- Computer Science
4h
Vice President (Performance and Rewards) Analytics
HSBC Global Services Limited —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Management
- Python
2d
Senior/Lead Data Scientist
Sense Talent Labs, Inc. —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Senior Product Manager
SatSure Analytics India —Bengaluru, Karnataka
- Remote
- Master's degree
- Project management
- Bachelor's degree
- Health insurance
- Paid time off
Software Engineer II, Reinforcement Learning Environments
Handshake —Bengaluru, Karnataka
- Full-time
- System design
- Research
- AWS
- Health insurance
Quick apply
13d
Sr Eng, Systems
Baxter —Bengaluru, Karnataka
- English
- Research
- Electrical experience
- Paid time off
Eng II, Electrical
Baxter —Bengaluru, Karnataka
- English
- Research
- Bachelor's degree
- Paid time off
Digital EHS Senior Implementation Engineer
AECOM —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Spanish
- Engineering
- English
- Health insurance
- Paid time off
Sr. Mgr, Data Science
Lam Research —Bengaluru, Karnataka
- Azure
- Management
- Computer Science
Engineer II, Software
Baxter —Bengaluru, Karnataka
- Research
- APIs
- AI
- Paid time off
5d
Senior Data Scientist (8 to 11 Years)
Fractal Analytics —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Associate
Samasource Impact Sourcing —Bengaluru, Karnataka
- English
- Research
- Bachelor's degree
- Health insurance
- Cell phone reimbursement
Sr Eng, V&V
Baxter —Bengaluru, Karnataka
- Computer Science
- English
- Research
- Paid time off

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Credit Data Scientist & AI Agents

Rippling -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
9 days ago

Qualifications

Statistics
Statistics
R
Slack
Master's degree
SQL
Bachelor's degree
Machine learning
Data science
SaaS
AI
Python
Data Science
Analytics

Full job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.8B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About the role

As a Credit Risk Data Scientist on the Financial Risk Data Science team at Rippling, you will play a key role in leveraging advanced analytics and data-driven insights to identify, assess, and mitigate credit risks across our financial products. The primary focus of this role is to develop, own, and manage data and models that drive risk strategies across Rippling products, such as Corporate Card, Bill Pay, Payroll, and Employer of Record. Experience with risk machine learning models is a plus.

What you will do

Develop data-driven credit management strategies: Work with the Credit Strategy team to use advanced analytics in designing and enhancing strategies that identify high-risk indicators within a population and across multiple financial products, including credit limit assignment, onboarding, and deterioration over time.
Analyze financial health patterns and risk trends: Perform deep analysis on bank transactions, payroll, and other data sources to score customer credit risk, identify concentration risks, and translate these findings into actionable risk mitigation strategies.
Collaborate across teams: Work closely with Credit, Product, and Engineering teams to align data initiatives with business goals, ensuring that analytics-driven decisions are integrated into product development and operational workflows.
Measure success and adjust strategies: Manage KPI reporting on credit strategies and collaborate with stakeholders to set and deliver against ambitious targets.
Own credit risk data structures: Assemble data from internal and external sources into organized structures and define features that power credit risk management strategies.
Develop new credit risk models: Evolve existing indexes and predictive models, and develop extensions or new models to support new strategies and product launches.

What you will need

3-6 years of experience in data science and analytics: Demonstrated experience using analytics and data science techniques to solve risk-related challenges, particularly in financial technology, payments, or SaaS industries.
Expertise in data analysis: Proficient in extracting insights from large datasets, with hands-on experience using tools such as Python, R, SQL, and other data analysis platforms to create robust risk detection strategies.
Strong knowledge of credit risks: Deep understanding of commercial credit, including areas such as bank-based underwriting, financial statement analysis, and/or insurance premium setting.
Data-driven approach to decision-making: Experience in developing data-driven strategies that address risks while balancing the impact on customer experience and operational efficiency.
Effective cross-functional collaboration: Proven ability to collaborate with product, risk, and engineering teams to drive fraud risk initiatives.
Educational background: Bachelor's degree in a relevant field such as Data Science, Mathematics, Statistics, or Operations Research. A Master’s degree is preferred.

Nice to have

Experience with machine learning models: Familiarity with building and deploying machine learning models for risk assessment.
Experience in SaaS or FinTech environments: Prior experience working in fast-paced, tech-driven environments with a focus on financial services or SaaS is beneficial.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

Apply Now

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medical research scientist jobs in bengaluru karnataka

Credit Data Scientist & AI Agents

Sr Eng, Cybersecurity

Eng II, V&V

Senior Staff AI Scientist

Lead Data Scientist

Principal Applied Science Manager - Foundation Models, Agents & Trust Systems

Director of AI/ML Research & Development

Engineer II, Software Test

Vice President (Performance and Rewards) Analytics

Senior/Lead Data Scientist

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Software Engineer II, Reinforcement Learning Environments

Sr Eng, Systems

Eng II, Electrical

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Sr. Mgr, Data Science

Engineer II, Software

Senior Data Scientist (8 to 11 Years)

Associate

Sr Eng, V&V

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