Total 22 Science / R&D / Research job vacancies in Bangalore

About Jai Kisan: At Jai Kisan, were not just building a neo-bank were redefining the financial landscape in rural India. As a team of innovators and problem-solvers, we're transforming the way rural communities, farmers, and small businesses interact with money, providing them with the financial tools and opportunities they need to thrive. Since our inception in 2019, we've developed a comprehensive financial ecosystem that addresses the unique needs of rural India. From supply chain finance to our rapidly growing consumer lending product (Jai Kisan Farmer app hyperlink), we empower small businesses with access to credit and a full suite of tailored financial services including payments, savings, deposits, and insurance. We're on an exciting journey of 10x growth, and we're looking for driven individuals passionate about building impactful solutions to join us in shaping the future of rural finance in India. If you're ready to make a transformative impact, Jai Kisan is the place for you. Designation: Data Science - II Job Type: WFO (5 days) Location: Bangalore, Karnataka About the Role

The Client Services Data & AI team strives to create an open, trusting data culture where the cost of curiosity – the number of steps, amount of time, and complexity of effort needed to use operational data to derive insights – is as low as possible.  We govern Client Services’ operational data and metrics, create easily usable dashboards and data sources, and analyze data to share insights.

We are a part of the Client Services Global Business Operations function and work with all levels of stakeholders, from executive leaders sharing insights with the C-Suite to customer-facing colleagues who rely on our assets to incorporate data into their daily responsibilities.

This specialist role makes data available from new sources, builds robust data models, creates and optimizes data enrichment pipelines, and provides engineering support to specific projects.  You will partner with our Data Visualizers and Solution Designers to ensure that data needed by the business is available and accurate and to develop certified data sets.  This technical lead and architect role is a force multiplier to our Visualizers, Analysts, and other data users across Client Services.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

As part of Core LLM Team, we build and evolve Generative AI based solutions, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

Applied research scientists/engineers are expected to find innovative and cost-effective solutions to key problems, deliver high quality code, and work with product managers/machine learning engineers/performance, quality engineers to take the product to market.

The Staff ML Scientist will work with a team to conduct world-class Applied AI research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to Visa's strategic vision as a world-leading data-driven company. The successful candidate must have strong academic track record and demonstrate excellent software engineering skills. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. 

Essential Functions

• Formulate business problems as technical data problems while ensuring key business drivers are collected in collaboration product stakeholders.

• Work with product engineering to ensure implement-ability of solutions. Deliver prototypes and production code based on need.

• Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.

• Build needed data transformations on structured and un-structured data.

• Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, analytics, and statistical techniques.

• Devise and implement methods for adaptive learning with controls on efficiency, methods for explaining model decisions where vital, model validation, A/B testing of models.

• Devise and implement methods for efficiently monitoring model efficiency and performance in production.

• Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.

• Contribute to development and adoption of shared predictive analytics infrastructure.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Sr. Data Scientist II, Personalization Data Science

Bangalore, India

Full-time

Job Family Group: Global Data Science

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. 

Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. 

The Global AI & Data Innovation team under the Global Data Office is creating the next generation of scalable and responsible AI, ML and Data Innovations and products to solve client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, program managers focused on generating value for the payments ecosystem. We are dreaming of the next generation of AI features and products.

This position is in the Data Science vertical under the Global AI and Data Innovation team. In this role, you will be an individual contributing to develop AI driven products and services, specifically focused on development of models and signals to deliver personalized customer experiences. These personalization models and signals will power Data Tokens and many other personalization-related use cases. The ultimate goal is to better link consumers with products and services, with benefits for every party in the payments ecosystem (consumers, businesses). 

Responsibilities include: 

Overall design, development and delivery of personalization models and signals to fuel AI products and services on a global scale

Technical Acumen:

- Execute data science capabilities in the personalization space

- Design and develop large-scale data science systems

- Foster innovation and experimentation within the team

Data Science:

- Apply advanced data science techniques to drive business impact

- Stay up-to-date with industry trends and emerging technologies

- Develop and maintain expertise in multiple programming languages and data science tools

Collaboration:

- Work closely with cross-functional teams to integrate data science capabilities

- Communicate complex technical concepts and results to stakeholders

- Influence business decisions with data-driven insights

Technical Expertise:

- Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)

- Stay current with industry trends and advancements in data science tools and technologies (e.g.,   TensorFlow, PyTorch, scikit-learn)

Strategy:

- Execute personalization data science strategy aligned with business goals

- Identify opportunities for data science to drive business impact

Communication:

- Communicate complex technical concepts and results to stakeholders

- Present data science capabilities and results to senior leadership and business partners

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Your Career

Prisma Cloud, a part of the Palo Alto Networks family, is at the forefront of protecting cloud applications. As cloud adoption rapidly expands, so do its threats. Our mission is to ensure every business can operate securely in the cloud. As a Principal Security Researcher at Prisma Cloud, you will be an integral part of our journey to identify, research, and develop risk and incident detection rules to safeguard customers from threats and misconfigurations in the cloud.

Are you passionate about using cutting-edge technology to help protect the world against cyber threats? Do you live and breathe the cyber security world? Join our dynamic team focused on research, development, release, and maintenance of risk and incident detection rules to safeguard customers from threats and misconfigurations in the cloud. Lead and perform groundbreaking cyber security research while working side by side with top-notch engineering and product management teams.

Your Impact

• Designing, developing, and maintaining detection checks to protect against attacks and ensure cloud security compliance
• Conducting research on emerging cloud services and potential vulnerabilities from a security perspective
• Investigating cloud attack techniques, tactics, and identifying detection methods based on misconfigurations, events, and flow logs
• Proposing and implementing security signatures to enhance our defense mechanisms
• Actively contributing to ongoing process enhancements in security content development, automation, and deployment practices
• Engaging in public outreach forums to advocate for best practices and represent our company's commitment to excellence
• Bonus - Establishing industry thought leadership by publishing insightful blogs on security research

Your Career

Palo Alto Networks is looking for a Sr Accounts Receivable Analyst to help drive external and internal customer service quality and accounts receivable process efficiencies through the Company’s continued high pace of growth. This person will perform accounts
receivable tasks while working with key stakeholders, support projects, and participate in process improvements in a fast-paced
environment.

Your Impact
● Oversee monthly accounts receivable close procedures, including journal entries, GL reconciliations, transaction uploads to
SAP, and close presentations.
● Conduct data analysis, support, and continuously improve reporting management processes, emphasizing data quality and
accuracy.
● Prepare balance sheet reconciliations and flux analysis for month-end close.
● Perform accounts receivable analytics and trends to support monthly and quarterly reporting.
● Ensure compliance with SOX 404 key controls.
● Support external and internal audit deliverables.
● Review order upload templates for SAP order creation to support post-acquisition billings.
● Resolve invoice disputes and billing inquiries by thoroughly reviewing customer concerns, promptly addressing issues, and
ensuring resolutions that align with company policies and customer expectations.
● Collaborate effectively with Credit and Collections, Operations, Sales, Tax, and IT departments to resolve accounts
receivable issues.
● Collaborate with cross-functional business partners to implement best practices, automation, and continuous process
improvements.
● Support accounts receivable-related system implementations and perform or review user acceptance testing.
● Assist with ad hoc reporting, analysis, and special projects.

Job Description and Responsibilities

Team Summary

Visa Consulting & Analytics (VCA) team is a key part of the Global Solutions organization, a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions.

Visa is looking for Sr. Data Scientist (Manager level), who will be the responsible for leading data science engagements with our partners and supporting end-to-end delivery. 

What a Data Science – Manager (Sr. Data Scientist) does at Visa:

The Data Science – Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa’s Bangalore office.

The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.

• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations

• Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques

• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients

• Enhance existing analytic techniques by promoting new methodology and best practices in analytics

• Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions

• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.

• Collaborate with cross-functional teams to build and automate re-usable and scalable solutions

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data.

Projects you will be a part of:

The nature of projects this role will play a key role in vary. This would include collaborating with Visa Consumer Solution team, Open data solution, Merchant team, to solve their most strategic business problems. Here are some sample problems

• Benefit measurement: how to evaluate if a campaign promotion is making positive ROI? Does it generate positive impacts to the campaign participating merchants? How about the overall impacts to Visa? How to identify proper test and control group so that make more scientific inference? What do you recommend to program managers to optimize the offerings? How to collaborate with different stakeholders to commercialize the benefit platform?

• Loyalty: how to work with stakeholders to improve the existing loyalty platform by leveraging various AI models?

• Buy-Now-Pay-Later:  what does the typical BNPL adopter look like?  Who has the higher chance to take the instalment offers, on which transaction(s)?

• Open data:  how to support stakeholders for potential joint development with 3rd party

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Team Summary

Visa Consulting & Analytics (VCA) team is a key part of the Global Solutions organization, a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative, and advanced analytic solutions.

Visa is looking for Data Science – Manager (Sr. Data Scientist), who will be the responsible for leading data science engagements with our partners and supporting end-to-end delivery. 

What a Data Science – Manager (Sr. Data Scientist) does at Visa:

The Data Science – Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa’s Bangalore office.

The individual will be accountable for supporting and driving the design, development, and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.

• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.

• Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques.

• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques, new data engineering pipeline development and management - fit for purpose to the needs of our clients

• Enhance existing analytic techniques by promoting new methodology and best practices in analytics.

• Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions.

• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.

• Collaborate with cross-functional teams to build and automate re-usable and scalable solutions.

Why this is important to Visa:

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data engineers, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative, and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data.

Role Requirements and Responsibilities:

In this role, you will be instrumental in a diverse range of projects, varying according to Visa's client needs and specifications. You will collaborate closely with VCA AP regional teams including market data science teams, the hub team in Singapore, and Visa's clients, to address their most pressing business challenges.

As part of the project team, you'll contribute to the design, development, and delivery of data analytics and data engineering solutions, alongside an array of stakeholders. This could involve developing new solutions, automating existing ones, and engaging in the long-term maintenance & delivery of client deliverables.

You'll take on the responsibility of liaising with market data science teams to understand their needs, analyze and develop the requirements. This could comprise building necessary data pipelines, designing local data warehouses/marts, and developing analytical/statistical reports and deliverables. Moreover, you'll cater to different data presentation techniques and automate processes for frequent or recurring deliveries, based on client requirements.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Your Career

Prisma Cloud, a part of the Palo Alto Networks family, is at the forefront of protecting cloud applications. As cloud adoption rapidly expands, so do its threats. Our mission is to ensure every business can operate securely in the cloud. As a Principal Security Researcher at Prisma Cloud, you will be an integral part of our journey to identify, research, and develop risk and incident detection rules to safeguard customers from threats and misconfigurations in the cloud.

Are you passionate about using cutting-edge technology to help protect the world against cyber threats? Do you live and breathe the cyber security world? Join our dynamic team focused on research, development, release, and maintenance of risk and incident detection rules to safeguard customers from threats and misconfigurations in the cloud. Lead and perform groundbreaking cyber security research while working side by side with top-notch engineering and product management teams.

Your Impact

• Designing, developing, and maintaining detection checks to protect against attacks and ensure cloud security compliance
• Conducting research on emerging cloud services and potential vulnerabilities from a security perspective
• Investigating cloud attack techniques, tactics, and identifying detection methods based on misconfigurations, events, and flow logs
• Proposing and implementing security signatures to enhance our defense mechanisms
• Actively contributing to ongoing process enhancements in security content development, automation, and deployment practices
• Engaging in public outreach forums to advocate for best practices and represent our company's commitment to excellence
• Bonus - Establishing industry thought leadership by publishing insightful blogs on security research

ABOUT THIS JOB 

We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies. 

RESPONSIBILITIES

·   Managing clients and their respective projects custom research team in matters of market research based on experience in the Technology & telecommunications, FMCG industry,.

·  Reporting to a project lead, you will be responsible for the successful execution of customized quantitative studies, including project costing, questionnaire design, project management and execution, analysis and report writing.  

Client Management  

· Managing clients and their respective projects from beginning to end, including making actionable recommendations to support key business objectives  

· Consistently exceeding client expectations from project inception through completion  

Project Management  

· Successfully manage multiple projects simultaneously, all in different design/analysis stages  

· Proactively anticipating, troubleshooting, overcoming, and/or escalating challenges to your project lead in a timely manner  

· Coordinating project task activities between your project team and internal support/operations team(s)  

·  Consulting (Questionnaire Design, Analysis, Reporting & Writing)  

·  Assist in the development of strong and captivating proposals to meet client needs, based on short research briefs and/or elaborate RFPs; including assisting with costing structure, methodological design, analytical framework, etc.  

· Designing questionnaires/focus group screeners/interview guides to meet the specific or unique client objectives  

·Synthesis and communication of both primary and secondary research findings into actionable insights according to the client’s objectives  

· Full reporting and analysis (via PowerPoint): Interpreting and analysing multivariate data, drawing insightful conclusions and providing recommendations, where applicable.  

·  Provide "in office" research, administrative and operational support to senior staff  

·  Be directly accountable for work conducted for their nominated clients in terms of analyses, charting, etc and perform quality checks on all reports for alignment to request accuracy and correctness  

A LITTLE BIT ABOUT YOU 

 Experience in Primary Quantitative Market Research with practical knowledge of research methodologies 

· Proactive 

· Strong interpersonal skills 

· Very Good Influencing & Persuading Skills 

Your Career

We are seeking a talented and driven Security Research Engineer to join our team. In this role, you will be responsible for conducting extensive research on SaaS applications and developing next-generation solutions to protect data within these applications. You will also play a key role in building tools and automations to streamline our research operations.

Your Impact

• Conduct in-depth research on SaaS applications to identify vulnerabilities and develop innovative solutions for data security
• Lead the development of advanced solutions for safeguarding data in SaaS environments
• Develop tools and automations to enhance research operations and streamline processes
• Independently drive and execute self-directed research projects
• Collaborate effectively with cross-functional teams and communicate research findings clearly through presentations and documentation

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Synopsis of the role

Join our Model Risk Management group as a Data Scientist, where you'll play a pivotal role in ensuring the accuracy and reliability of our models. Collaborate with cross-functional teams to assess, validate, and enhance AI and ML models that serve the needs of our clients and help consumers live their financial best.

• Ability to understand BFSI business problems and consult client on the appropriate solutions

• Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs.

• Contribute to Building the BFSI Analytics practice through on- going identification of new opportunities.

• Provide hands-on support to the project team in developing ML models.

• Work with the Equifax bureau in India to build bureau-based Analytics capabilities and use the new age technology to implement those solutions

• Develop best practices and streamline the process in order to improve the efficiency of the team.

• Manage a team of junior data scientists and develop the capabilities within the team in AI and ML areas.

What experience you need

• Understanding of key business and risk KPI’s for retail banking products

• 8+ years’ experience in handling BFSI analytics/implementing models/Big data/Cloud solution architect

• Credit risk modeling development experience is a must.

• R/Python coding experience is a must have technical skill

• Regulatory modeling development experience is good to have ( ECL, Stress testing & IFRS9)

• Highly analytical with experience of working in teams.

• Self-starter with high energy levels and ability to work in a fast paced environment.

• In-depth business & risk understanding.

• Adaptability to work in project based engagements across different kinds of banking clients.

• Team management experience would be preferred

What could set you apart

• Energetic & international work environment

• Young, enthusiastic and highly collaborative teammates. Learn from and work with some of brightest minds in the banking lending, credit risk and marketing analytics space - both in India & International

• Fabulous opportunity to work with some of our largest blue-chip customers

• Chance to use cutting-edge statistical/modelling tools across literally hundreds of data assets

• Offices located in the center of Bangalore & Mumbai

• Opportunity to make an impact in the fastest growing Data & Tech bureau

• Equifax D&A University: skill lab, group & individual learning

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

Function:

Schedule:

Job Description

Role Purpose:

Provide full-service management of key client accounts through marketing research information, analysis and reports and identify new opportunities for developing business in Customised Research.

Primary responsibility would include developing business, especially across key FMCG clients in West by reaching out to them, understanding their challenges, sharing NIQ solutions and evolving the brief along with the clients to win business

Other responsibilities would include developing and delivering the proposals to win the business and work with the Customer Success Team to deliver the findings presentations to the clients.

Accountabilities:

Accountable for success of the team by ensuring revenue target as well as team development

Client Management

• Provides advice and consultation to clients and staff
• Handles complicated client queries or complaints
• Develops strategic understanding of industry trends, competition and opportunities of Nielsen
• Demonstrated recognition by client as an “expert” related to research knowledge areas
• Presents results of study to the client’s top management
• Ensures the smooth collection of debt from clients

Project Management

• Designs and plans research projects following client briefing and needs
• Supervises all stages of project management and monitors performance by working with the Customer Success team which will ensure the day today work is done
• Provides advice on the execution of projects, informs clients on progress and gives specific instructions to other departments regarding the collection and electronic processing of information

Thought leadership

• Introduce new solutions and thought leadership pieces to the team
• Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on.
• Very good understanding of Qualitative- should have worked on multiple methodologies, culture work is an added advantage
• Should have worked on Qual + Quant projects understanding the ways

Business Management

• · Develops the business (profit and loss responsibilities)
• · Strong Leadership Competencies (360-degree assessment), proven successful business record, and demonstrated ability to effectively work with diverse teams
• · Provide top management with thorough review of internal and client financials including budget and forecast
• · Provide top management with thorough review of internal and client financials including budget and forecast

Role Expectations

Scope

1. Would manage the end-to-end relationship with all clients with a focus on the FMCG clients

2. Would be responsible for revenue generation, client servicing and collections. Joint responsibility of the deliverables along with the customer success team

3. Would be supported by the customer success team – which will take on the responsibility of end to end completion & delivery of the project

You Career

We are seeking a talented and driven Data Security Research Engineer to join our team. In this role, you will be responsible for conducting extensive research on SaaS applications and developing next-generation solutions to protect data within these applications. You will also play a key role in building tools and automation to streamline our research operations.

Your Impact

• Conduct in-depth research on SaaS applications to identify vulnerabilities and develop innovative solutions for data security
• Lead the development of advanced solutions for safeguarding data in SaaS environments
• Develop tools and automations to enhance research operations and streamline processes
• Independently drive and execute self-directed research projects
• Collaborate effectively with cross-functional teams and communicate research findings clearly through presentations and documentation