Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Palantir Foundry Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Lead Data Engineer Project Role Description :Design, build and enhance applications to meet business process and requirements in Palantir foundry.Work experience :Minimum 6 years Must have Skills :Palantir Foundry , PySpark, TypeScript (for customizing Workshop Forms & UI)Good to Have Skills :Experience in Pyspark, python and SQLKnowledge on Big Data tools & TechnologiesOrganizational and project management experience.Job & Key Responsibilities :Responsible for designing , developing, testing, and supporting data pipelines and applications on Palantir foundry.Configure and customize Workshop to design and implement workflows and ontologies.Configure and customize Workshop applications, including designing Forms, Workflows, and Ontology-based interactions.Write TypeScript to create dynamic and interactive Forms in Workshop for user-driven data entry and validation.Collaborate with data engineers and stakeholders to ensure successful deployment and operation of Palantir foundry applications.Work with stakeholders including the product owner, data, and design teams to assist with data-related technical issues and understand the requirements and design the data pipeline.Work independently, troubleshoot issues and optimize performance.Communicate design processes, ideas, and solutions clearly and effectively to team and client. Assist junior team members in improving efficiency and productivity. Technical Experience :Proficiency in PySpark, Python and Sql with demonstrable ability to write & optimize SQL and spark jobs.Hands on experience on Palantir foundry related services like Data Connection, Code repository, Contour , Data lineage & Health checks.Good to have working experience with workshop , ontology , slate.Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.Experience in TypeScript to create and customize Forms in Workshop, including form validation, user interactions, and data binding with Ontology.Experience in ingesting data from different external source systems using data connections and sync.Good Knowledge on Spark Architecture and hands on experience on performance tuning & code optimization.Proficient in managing both structured and unstructured data, with expertise in handling various file formats such as CSV, JSON, Parquet, and ORC.Experience in developing and managing scalable architecture & managing large data sets.Good understanding of data loading mechanism and adeptly implement strategies for capturing CDC.Nice to have test driven development and CI/CD workflows.Experience in version control software such as Git and working with major hosting services (e. g. Azure DevOps, GitHub, Bitbucket, Gitlab).Implementing code best practices involves adhering to guidelines that enhance code readability, maintainability, and overall quality. Educational Qualification:15 years of full-term education Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Talend ETL Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and maintain data pipelines for efficient data processing.- Ensure data quality and integrity throughout the data lifecycle.- Implement ETL processes to extract, transform, and load data.- Collaborate with cross-functional teams to optimize data solutions.- Conduct data analysis to identify trends and insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Talend ETL.- Strong understanding of data integration and ETL processes.- Experience with data modeling and database design.- Knowledge of SQL and database querying languages.- Hands-on experience with data warehousing concepts. Additional Information:- The candidate should have a minimum of 3 years of experience in Talend ETL.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Neo4j, Stardog Good to have skills : JavaMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Neo4j.- Good To Have Skills: Experience with Java.- Strong understanding of data modeling and graph database concepts.- Experience with data integration tools and ETL processes.- Familiarity with data quality frameworks and best practices.- Proficient in programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Neo4j.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Apache Spark Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), AWS ArchitectureMinimum 5 year(s) of experience is required Educational Qualification : Mandatory 15 years of Fulltime qualification Summary :As an Application Lead, you will be responsible for designing, building, and configuring applications using Apache Spark. Your typical day will involve leading the effort to design and build applications, acting as the primary point of contact, and utilizing your expertise in Apache Spark to deliver impactful solutions. Roles & Responsibilities:- Lead the effort to design, build, and configure applications using Apache Spark.- Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure successful delivery of applications.- Utilize your expertise in Apache Spark to develop and deploy advanced data processing pipelines, including experience with Spark Streaming and Spark SQL.- Design and implement scalable and fault-tolerant solutions using Apache Spark, ensuring high performance and reliability.- Stay updated with the latest advancements in Apache Spark and related technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Expertise in Apache Spark.- Good To Have Skills: Experience with Oracle Procedural Language Extensions to SQL (PLSQL) and AWS Architecture.- Strong understanding of distributed computing principles and experience with distributed data processing frameworks.- Experience with data processing pipelines, including Spark Streaming and Spark SQL.- Experience designing and implementing scalable and fault-tolerant solutions using Apache Spark.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Apache Spark.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Gurugram office. Qualification Mandatory 15 years of Fulltime qualification

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Business AgilityMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Need Databricks resource with Azure cloud experience- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data architects and analysts to design scalable data solutions.- Implement best practices for data governance and security throughout the data lifecycle. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Business Agility.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Python (Programming Language), AWS Aurora, PySpark, Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication within the team and stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the application development process effectively.- Ensure seamless communication within the team and stakeholders. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), AWS Aurora, PySpark, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of cloud computing concepts.- Experience in designing and implementing scalable applications.- Proficient in database management and optimization.- Skilled in troubleshooting and problem-solving. Additional Information:- The candidate should have a minimum of 12 years of experience in Python (Programming Language).- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Apache Spark Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Python (Programming Language), AWS ArchitectureMinimum 5 year(s) of experience is required Educational Qualification : 15 years of fulltime education Summary :As an Application Lead, you will be responsible for designing, building, and configuring applications using Apache Spark. Your typical day will involve leading the effort to design and build applications, acting as the primary point of contact, and utilizing your expertise in Apache Spark to deliver impactful solutions. Roles & Responsibilities:- Lead the effort to design, build, and configure applications using Apache Spark.- Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure successful delivery of applications.- Utilize your expertise in Apache Spark to deliver impactful solutions, employing best practices and innovative approaches.- Provide technical guidance and mentorship to team members, ensuring adherence to coding standards and best practices.- Stay updated with the latest advancements in Apache Spark and related technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Proficiency in Apache Spark.- Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Python (Programming Language), and AWS Architecture.- Strong understanding of software development principles and best practices.- Experience with Agile methodologies and project management tools.- Solid grasp of data structures, algorithms, and database design principles. Additional Information:- The candidate should have a minimum of 5 years of experience in Apache Spark.- This position is based at our Gurugram office. Qualification 15 years of fulltime education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on various data-related tasks and collaborating with teams to optimize data processes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop innovative data solutions to meet business requirements.- Optimize data pipelines for efficiency and scalability.- Implement data governance policies to ensure data quality and security. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Architecture Principles.- Strong understanding of data modeling and database design.- Experience with ETL tools and processes.- Knowledge of cloud platforms and big data technologies.- Good To Have Skills: Data management and governance expertise. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Architecture Principles.- This position is based at our Bengaluru office.Education information - - A 15 years full-time education is required. Qualification 15 years full time education

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. About Agoda Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world Get to Know Our Team Fintech is a rapidly expanding industry with endless opportunities for growth and innovation. At Agoda, we are proud to be at the forefront of this exciting field, working closely with our finance business team and product owners to reduce risk, increase efficiency, and seize new market opportunities. Our fintech projects are diverse and varied, ranging from traditional finance to cutting-edge customer-facing solutions. Whether using big data technologies for reconciliation, expanding and enhancing payment options for our customers, or developing lightning-fast tax calculation systems, we are constantly pushing the boundaries of what’s possible in fintech. With a talented team of data and backend engineers, we are well-equipped to tackle any challenge that comes our way. Agoda is the perfect place for you if you’re passionate about fintech and looking to make a real impact in this dynamic industry. The Opportunity We are seeking highly skilled engineers with a range of experience in fintech to join our team. Whether you are a seasoned expert or just starting out in the field, we welcome your application. We are looking for intelligent and agile engineers with strong attention to detail and the ability to work on both back-end and data engineering tasks. If you have a passion for fintech technology and are excited about the opportunity to build and innovate, we would love to hear from you. We value a wide range of experience and backgrounds and encourage all qualified candidates to apply. In this Role, you will get to Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring Design, develop and maintain platforms and data pipelines across fintech Improve scalability, stability, and efficiency of our existing systems Write great code and help others write great code – mentor people in your team and the wider organisation Collaborate with other teams and departments Help us hire extraordinary talent such as yourself! What You’ll Need To Succeed Minimum 7 years of experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, C# or Kotlin Experience with data tooling: Spark, Kafka, Workflow Orchestration Tools Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. In depth knowledge of Model and Design of DB schemas for read and write performance Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Build processes supporting data transformation, data structures, metadata, dependency and workload management Experience supporting and working with Scrum in Agile Cross-functional teams Excellent verbal and written English communication skills It’s great if you have Deep experience with spark based distributed data pipelines. Able to deep dive and solve challenges in spark query plans and optimize code. Experience in Spark streaming is a plus Strong experience building finance stack applications including ledgers, revenue recognition, monetary transfers and reconciliations, financial accounting platforms etc Experience handling financial data risk management and data governance projects. Experience supporting internal and external financial audits Experience with data profiling, data lineage, data cataloging to enhance data governance and documentation Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved Experience with building data pipelines to integrate 3rd parties is plus #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Show more Show less

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. About Agoda Agoda is an online travel booking platform for accommodation, flights, and more. We build and deploy cutting edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 4,000+ talents coming from 90+ different nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enabling our customers to experience the world Get to Know Our Team Fintech is a rapidly expanding industry with endless opportunities for growth and innovation. At Agoda, we are proud to be at the forefront of this exciting field, working closely with our finance business team and product owners to reduce risk, increase efficiency, and seize new market opportunities. Our fintech projects are diverse and varied, ranging from traditional finance to cutting-edge customer-facing solutions. Whether using big data technologies for reconciliation, expanding and enhancing payment options for our customers, or developing lightning-fast tax calculation systems, we are constantly pushing the boundaries of what’s possible in fintech. With a talented team of data and backend engineers, we are well-equipped to tackle any challenge that comes our way. Agoda is the perfect place for you if you’re passionate about fintech and looking to make a real impact in this dynamic industry. The Opportunity We are seeking highly skilled engineers with a range of experience in fintech to join our team. Whether you are a seasoned expert or just starting out in the field, we welcome your application. We are looking for intelligent and agile engineers with strong attention to detail and the ability to work on both back-end and data engineering tasks. If you have a passion for fintech technology and are excited about the opportunity to build and innovate, we would love to hear from you. We value a wide range of experience and backgrounds and encourage all qualified candidates to apply. In this Role, you will get to Think and own the full life cycle of our products, not just a single piece of code – from business requirements, technology selection, coding standards, agile development, unit and application testing, to CI/CD and proper monitoring Design, develop and maintain platforms and data pipelines across fintech Improve scalability, stability, and efficiency of our existing systems Write great code and help others write great code – mentor people in your team and the wider organisation Collaborate with other teams and departments Help us hire extraordinary talent such as yourself! What You’ll Need To Succeed Minimum 7 years of experience under your belt developing performance-critical applications that run in a production environment using Scala, Java, C# or Kotlin Experience with data tooling: Spark, Kafka, Workflow Orchestration Tools Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. In depth knowledge of Model and Design of DB schemas for read and write performance Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Build processes supporting data transformation, data structures, metadata, dependency and workload management Experience supporting and working with Scrum in Agile Cross-functional teams Excellent verbal and written English communication skills It’s great if you have Deep experience with spark based distributed data pipelines. Able to deep dive and solve challenges in spark query plans and optimize code. Experience in Spark streaming is a plus Strong experience building finance stack applications including ledgers, revenue recognition, monetary transfers and reconciliations, financial accounting platforms etc Experience handling financial data risk management and data governance projects. Experience supporting internal and external financial audits Experience with data profiling, data lineage, data cataloging to enhance data governance and documentation Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved Experience with building data pipelines to integrate 3rd parties is plus #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy . Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Show more Show less

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 9 - Ind & Func AI Decision Science Consultant Job location :- Hyderabad/Bangalore About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualification What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities. Who are we looking for Bachelors or masters degree in computer science, engineering, data science, or a related field. Experience working for large Software or Platform organizations. Proven experience (5+ years) in working on AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc. Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL Experience in training large language models and fine-tuning for specific applications or domains. Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling. Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Proficient in Excel, MS word, PowerPoint, etc. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Title : S&C Global Network - AI - Retail - Consultant - AI/Gen AI Retail Specialist Job Title - AI/Gen AI Retail Specialist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Expertise in supervised and unsupervised learning algorithms Proficiency in deep learning frameworks like TensorFlow or PyTorch Ability to implement NLP techniques for chatbots, recommendation systems, sentiment analysis, and personalized search. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : As an AI/Gen AI Retail Specialist, you will play a crucial role in leveraging advanced machine learning, deep learning, and generative AI technologies to transform retail strategies, improve customer experiences, and optimize operations. Your expertise in AI will drive the development of cutting-edge solutions that enhance retail performance across various domains, including merchandising, pricing, customer engagement, and product assortment. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Analyze and preprocess large datasets from various sources (sales data, customer data, inventory data) to build effective AI models. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Provide regular reports and dashboards on AI model performance, business impact, and KPIs, communicating the results effectively to stakeholders. Work closely with cross-functional teams (e.g., product, marketing, business development) to understand the retail business challenges and translate them into AI-driven solutions. Communicate the potential of AI solutions to both technical and non-technical stakeholders, ensuring alignment between technical capabilities and business objectives. Professional & Technical Skills : Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Additional Information: About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Msc. Statistics, B.Tech. / M.Tech Computer Science, Econometrics, Data Science

JR: R00229254 Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager Management Level: 6-Senior Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Lead proposals, and business development efforts and coordinate with other colleagues to cross-sell/ up-sell Life Sciences offerings to existing as well as potential clients. Lead client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Collaborate closely with cross-functional teams including Data engineering, technology, and business stakeholders to identify opportunities for leveraging data to drive business solutions. Lead and manage teams to deliver transformative and innovative client projects. Guide teams on analytical and AI methods and approaches Manage client relationships to foster trust, deliver value, and build the Accenture brand Drive consulting practice innovation and thought leadership in your area of specialization Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven experience in cross-sell/ up-sell Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP, etc. Experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Excellent analytical and problem-solving skills, with a data-driven mindset. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind & Func AI Decision Science Consultant Location: Gurgaon, Mumbai, Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstreams of small projects, overseeing the quality of deliverables for junior team members. Demonstrated ability to manage day-to-day interactions with client stakeholders. Practice Enablement Guide junior team members. Support development of the practice by driving innovations and initiatives. Develop thought leadership and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: 2-6 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior: Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk: Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML): AML Scenarios/Alerts, Network Analysis Operational Risk: AMA Modeling, Operational Risk Reporting Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 2-6 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Analyst Management Level: 10-Senior Analyst Location: Gurgaon/Bangalore/Mumbai Must-have skills: Phython, Spark,SQL, Tableau, Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data. Develop predictive models using data science and AI techniques to address client needs. Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources. Collaborate with cross-functional teams to implement analytics solutions effectively. Translate complex data findings into clear, concise, and actionable strategies. What you would do in this role Work with Managers to get Client's business requirements and deliver Analytics driven solution. Duties and Responsibilities Sr. Data Scientist responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems. Present analytic findings & opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization. Build knowledge base and disseminate information on applications of variety of analytical techniques. Develop statistical models and delivery of analytic offerings and solutions in health domain areas. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Experience in resolving complex data issues in creative and effective ways. Strong people management skills both at client site and an offshore environment Excellent communication skills and ability to interact with all levels of end users, stakeholders, and technical resources. Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning) Good exposure to consulting experience/basic understanding of business problems and suggesting solutions. Technical Skills: Proficient in data handling suites PYTHON, Spark, SQL, or similar packages Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical businesspeople. Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of health care business for providers / payers/Public health systems Experience working with cloud providers (e.g. AWS, Azure, GCP) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5 Years in Healthcare Analytics Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Sales Excellence - COE - Data Engineering Specialist Management Level: 9-Team Lead/Consultant Location: Mumbai, MDC2C Must-have skills: Sales Good to have skills: Data Science, SQL, Automation, Machine Learning Job Summary : Apply deep statistical tools and techniques to find relationships between variables Roles & Responsibilities: - Apply deep statistical tools and techniques to find relationships between variables. - Develop intellectual property for analytical methodologies and optimization techniques. - Identify data requirements and develop analytic solutions to solve business issues. Job Title - Analytics & Modelling Specialist Management Level :9-Specialist Location:Bangalore/ Gurgaon/Hyderabad/Mumbai Must have skills:Python, Data Analysis, Data Visualization, SQL Good to have skills:Machine Learning Job Summary : The Center of Excellence (COE) makes sure that the sales and pricing methods and offerings of Sales Excellence are effective. - The COE supports salespeople through its business partners and Analytics and Sales Operations teams. The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization. Roles & Responsibilities: Build and manage data models that bring together data from different sources. Help consolidate and cleanse data for use by the modeling and development teams. Structure data for use in analytics applications. Lead a team of Data Engineers effectively. Professional & Technical Skills: A bachelors degree or equivalent Total experience Range:5-8 years in the relevant field A minimum of 3 years of GCP experience with exposure to machine learning/data science Experience in configuration the machine learning workflow in GCP. A minimum of 5 years Advanced SQL knowledge and experience working with relational databases A minimum of 3 years Familiarity and hands on experience in different SQL objects like stored procedures, functions, views etc., A minimum of 3 years Building of data flow components and processing systems to extract, transform, load and integrate data from various sources. A minimum of 3 years Hands on experience in advanced excel topics such as cube functions, VBA Automation, Power Pivot etc. A minimum of 3 years Hands on experience in Python Additional Information: Understanding of sales processes and systems. Masters degree in a technical field. Experience with quality assurance processes. Experience in project management. You May Also Need: Ability to work flexible hours according to business needs. Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience:8 to 10 Years Educational Qualification: B.Com

Job Title Ind & Func AI Decision Science Analyst - S&C GN Management Level :11 - Analyst Location:Gurgaon Must have skills: Generative AI, Machine Learning, Large Language Models (LLMs), Python, SQL Good to have skills:Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision Job Summary : As an AI Decision Science Analyst, you will play a key role in designing, building, and deploying advanced AI models and solutions to address business challenges across various industries. You will leverage Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of advanced analytics capabilities. Roles & Responsibilities: Leverage Advanced Data Science Techniques Develop solutions using Generative AI, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: - Must To Have Skills: Proficiency in Generative AI, Machine Learning, LLMs, Python, SQL. Spark, Cloud platforms (AWS, Azure, GCP), NLP, Computer Vision. Experience in developing and AI/ML models. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions using data science and analytics. This position is based at our Gurugram office. About Our Company | Accenture Qualification Experience: Minimum 1+ years of experience in Data Science, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Job Title - S&C Global Network - AI - Healthcare Analytics - Manager Management Level: 7-Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client. Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role). Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-12 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Masters Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Job Title :S&C GN - Data Science Senior Manager Location :Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills :Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills : Experience in Graph Neural Networks (GNNs) for complex relational data modeling. Expertise in LLM advancements, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on enhancing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills :As a Senior Manager in our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Driving the strategy and execution of AI/ML initiatives to enhance customer interactions, automate responses, and improve self-service capabilities. Leading the development and deployment of scalable ML solutions for intent classification, sentiment analysis, and predictive analytics. Designing and implementing AI-driven customer segmentation and behavioral analysis frameworks for personalized recommendations and targeted engagement. Overseeing the optimization of conversational AI workflows by enhancing intent recognition, response generation, and real-time decision-making. Spearheading the analysis of large-scale customer interaction data to extract actionable insights and refine business strategies. Partnering with engineering, product, and marketing teams to integrate AI-driven solutions into enterprise platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques, driving real-world impact in the contact center space. Leadership & Business Impact : Leading multiple AI/ML-driven projects from conceptualization to deployment, ensuring alignment with business objectives and client needs. Engaging with senior stakeholders and C-suite executives to translate AI insights into actionable business strategies. Managing high-performing data science teams, mentoring talent, and fostering a culture of innovation and excellence. Driving business development efforts, including identifying new opportunities, leading client presentations, and contributing to proposals and thought leadership. Establishing and strengthening partnerships with key clients, ensuring long-term collaboration and success. Shaping the organization's AI roadmap by staying ahead of industry trends, evaluating emerging technologies, and driving continuous improvement. This position is ideal for an experienced AI leader passionate about leveraging advanced analytics and machine learning to solve complex business problems and drive meaningful impact. About Our Company | AccentureQualification Experience & Educational Qualification : PhD with 10+ years of relevant experience, OR Masters degree with 12+ years of experience, OR Bachelors degree with 15+ years of experience

Job Title :S&C GN - Data Science Senior Manager Location :Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills :Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills : Experience in Graph Neural Networks (GNNs) for complex relational data modeling. Expertise in LLM advancements, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on enhancing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills :As a Senior Manager in our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Driving the strategy and execution of AI/ML initiatives to enhance customer interactions, automate responses, and improve self-service capabilities. Leading the development and deployment of scalable ML solutions for intent classification, sentiment analysis, and predictive analytics. Designing and implementing AI-driven customer segmentation and behavioral analysis frameworks for personalized recommendations and targeted engagement. Overseeing the optimization of conversational AI workflows by enhancing intent recognition, response generation, and real-time decision-making. Spearheading the analysis of large-scale customer interaction data to extract actionable insights and refine business strategies. Partnering with engineering, product, and marketing teams to integrate AI-driven solutions into enterprise platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques, driving real-world impact in the contact center space. Leadership & Business Impact : Leading multiple AI/ML-driven projects from conceptualization to deployment, ensuring alignment with business objectives and client needs. Engaging with senior stakeholders and C-suite executives to translate AI insights into actionable business strategies. Managing high-performing data science teams, mentoring talent, and fostering a culture of innovation and excellence. Driving business development efforts, including identifying new opportunities, leading client presentations, and contributing to proposals and thought leadership. Establishing and strengthening partnerships with key clients, ensuring long-term collaboration and success. Shaping the organization's AI roadmap by staying ahead of industry trends, evaluating emerging technologies, and driving continuous improvement. This position is ideal for an experienced AI leader passionate about leveraging advanced analytics and machine learning to solve complex business problems and drive meaningful impact. About Our Company | AccentureQualification Experience & Educational Qualification : PhD with 10+ years of relevant experience, OR Masters degree with 12+ years of experience, OR Bachelors degree with 15+ years of experience