Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job Description Join us as a Data Analyst Take on a new challenge in a cutting edge data team, in which you’ll manage the analysis of complex bank, franchise or function data to identify business issues and opportunities We’ll look to you to provide high quality analytical input to help develop and implement innovative processes and resolve problems across the bank This is a hands on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business We're offering this role at vice president level What you'll do As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You’ll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data. Day-to-day, you’ll also be: Collecting, profiling and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling Interpreting customer needs and turning them into functional or data requirements and process models Building and maintaining collaborative partnerships with key business stakeholders The skills you'll need We’re looking for someone with at least eight years of experience in using data analysis tools and delivering data analysis in a technology or IT function. We’ll also look for: An in-depth understanding of the interrelationships of data and multiple data domains Experience in SQL utilising for data analysis and reporting A background in delivering research based on qualitative and quantitative data across a range of subjects Excellent communication and interpersonal skills Show more Show less

Join us as a Data Analyst Take on a new challenge in a cutting-edge team, in which you’ll contribute to the analysis of complex bank, franchise or function data to identify business issues and opportunities We’ll look to you to provide high quality analytical input to help develop and implement innovative processes and problem resolution across the bank This is a hands-on rolein which you'll honeyour data analysis expertise and gain valuable experience in a dynamic area of our business We're offering this role at assistant vice president level What you'll do As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You’ll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data. Day-to-day, You’ll Also Be Collecting, profiling and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling Helping to interpret customer needs and turning them into functional or data requirements and process models Supporting several large, complex and critical projects within your department The skills you'll need We’re looking for someone with at least eight years of experience using data analysis tools and delivering data analysis in a technology or IT function. We’ll Also Look For An in-depth understanding of the interrelationships of data and multiple data domains A background in delivering research based on qualitative and quantitative data across a range of subjects Experience in commercial banking domain Excellent influencing and communication skills Show more Show less

REMOTE ( India Second shift) Role and Responsibilities Manage O2C sales order cycle from customer PO to READSOFT OCR, Process director and final SAP posting. Set up and customize new mapping / profiles in READSOFT Invoices. Troubleshoot integration issues in OCR READSOFT and Process Director. Ensure seamless file based integration within different SAP landscapes. Validate design documents shared by the Kofax SI in collaboration with the O2C Global Process Manager Help to develop test suites / scripts / plans in coordination with the GPM. Assist in extraction and loading of master data needed for S/4 testing. Assist the end users in test script creation, validation and execution before signing off OCR in UAT cycle. Manage bugs with Kofax SI / Kofax helpdesk to resolution. Help to increase business confidence with Kofax tool and assist with change management steps as required in order to increase Kofax no touch order integration , software scalability / usage within North America Customer service teams. Main Skills O2C Sales Order Process knowledge in ECC + S4. Integration with SAP using SD BAPI / IDOCs. Understanding of ABAP programming and debugging, with the ability to develop custom solutions and enhancements. Experience of flat file integration into SAP using OCR technology. Kofax knowledge is a plus , workflow automation , experience of READSOFT Invoice module and associated image configuration i.e Verify & Optimise. Knowledge of SAP add on - Process Director platform for integration between different O2C processes. Excellent communication and interpersonal skills, with the ability to collaborate effectively with internal teams, business users, and external partners. Proven ability to manage multiple projects simultaneously in a fast-paced environment, with a keen attention to detail. Nice to Have Kofax Readsoft Experience. Kofax Process Director – Sales Order knowledge. Understanding Kofax path to production and patches. SAP Sales order Processing. Idoc / BAPI for Sales Order Create. Basic understanding of SAP development including USEREXITs and ABAP programming / debug. Strong familiarity of SAP transport process and managing change through SAP landscape. Difference Makers KOFAX OCR Knowledge and implementation in O2C. Recent SAP S4 HANA Order to Cash Project Implementation. Business process knowledge of CPG organizations. Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

_VOIS Intro About _VOIS: _VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, _VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. _VOIS Centre Intro About _VOIS India: In 2009, _VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, _VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Role Related Content (Role specific) Ey Responsibilities Design and Build Data Pipelines:** Develop scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3. Create efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Build and manage applications using Python, SQL, Databricks, and various AWS technologies. Utilize QuickSight to create insightful data visualizations and dashboards. Quickly develop innovative Proof-of-Concept (POC) solutions to address emerging needs. Provide support and manage the ongoing operation of data services. Automate repetitive tasks and build reusable frameworks to improve efficiency. Work with teams to design and develop data products that support marketing and other business functions. Ensure data services are reliable, maintainable, and seamlessly integrated with existing systems. Required Skills And Experience Bachelor’s degree in Computer Science, Engineering, or a related field. Technical Skills: Proficiency in Python with Pandans, PySpark. Hands-on experience with AWS services including S3, Glue Lambda, API Gateway, and SQS. Knowledge of data processing tools like Spark, Hive, Kafka, and Airflow. Experience with batch job scheduling and managing data dependencies. Experience with QuickSight or similar tools. Familiarity with DevOps automation tools like GitLab, Bitbucket, Jenkins, and Maven. Understanding of Delta is would be an added advantage. _VOIS Equal Opportunity Employer Commitment India _VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion , Top 10 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

TransUnion's Job Applicant Privacy Notice What We'll Bring Beyond the traditional business of furnishing credit reports to lenders, TransUnion provides financial institutions in both mature and emerging markets with data and solutions to enhance and support their customer relationships. We have a large, diverse client base ranging from national banks and credit unions to small, independent lenders. We offer a broad array of solutions customized to each aspect of our clients’ business including credit risk management, digital marketing, fraud and ID management, and collections and recovery. At TransUnion, we pride ourselves on our ability to bring innovative ideas and solutions to market, leveraging our extensive experience in credit data and analytics. The U.S. Financial Services vertical has a dynamic blend of experiences in financial services and credit risk management. As our team grows, we are looking for innovative and diverse talent to help us develop deep customer and market expertise to inform solution development and accelerate our growth. What You'll Bring A minimum of 1 years’ experience in a rigorous business analyst role with demonstrated experience completing market research, performing financial analysis and preparing business communications and presentations Strong analytical and quantitative skills, with demonstrated experience extracting insights from large datasets Aptitude leveraging business intelligence tools and writing intermediate SQL queries for data extraction Proficiency building reports and graphics, with experience leveraging data visualization tools, such as Tableau, preferred Advanced experience with the MS Office suite, particularly Excel, Word and PowerPoint to carry out and communicate the results of analysis BA/BS from top-tier institution or equivalent work experience High level of English language proficiency in both verbal and written dimensions Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously with evolving deadlines Impact You'll Make Conduct general market research activities by gathering and synthesizing primary and secondary information to provide a broader understanding of the organization, our customers and business partners and the market dynamics in the industries we serve Extract, normalize and segment data from large datasets and databases (e.g., billing systems, sales data, depersonalized credit data, etc.) leveraging SQL and business intelligence tools Analyze revenue of customers and business segments to identify trends and/or market conditions impacting our business Evaluate market trends and expansion opportunities and translate analytical findings into insightful, succinct and compelling communications and business presentations Prepare financial analysis to support financial forecasting and investment business cases Complete ad-hoc analysis and benchmarking on existing customer accounts and prepare reports for internal and external distribution Create financial, sales and operational reports for Financial Services management Help to cultivate an environment that promotes excellence, innovation, and a collegial spirit Perform multiple tasks simultaneously and deal with changing requirements and deadlines This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Analyst, Strategic Planning Show more Show less

Title: MET-ID Scientist Date: 1 Jun 2025 Job Location: Bangalore Pay Grade Year of Experience: Job Description Job Title: MET ID Scientist Job Location: Bangalore About Syngene: Syngene (www.syngeneintl.com) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures and SOPs, in letter and spirit Mandatory expectation for all roles as per Syngene safety guidelines Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self. Compliance to Syngene’ s quality standards at all times. Core Purpose Of The Role Bioanalytical scientist with expertise in handling LCMS/MS and support ADME screening assays: InVitro assays, MET ID and large molecule analysis by LCMS and in line with business needs. Role Accountabilities Optimization of test compounds and to develop high throughput, fit for purpose LC-MS/MS and HPLC-UV methods to support ADME samples analysis: Formulations analysis, solubility studies, stability studies, In vitro assays, MET ID and large molecule analysis etc. Perform analysis of samples generated for the screening of compounds for ADME assays and Processing of different matrices/formulation samples of PK studies with no/minimal supervision Excellent written and oral communication skills interacting with internal stakeholders Operation, maintenance and troubleshooting of HPLC/ LC-MS/MS system Preparation of protocols, reports and templates for responsible activities Instrument maintenance, scheduling calibration and maintaining documentation as per regulatory compliance and company policy Adhering to safety and quality policies laid by organization Delivery of quality data with planning, execution of bioanalytical activities within the team in agreeable timelines Development and implementation of high throughput, fit for purpose bioanalytical methods to support invitro ADME samples analysis Identification of problem and trouble shooting in quick turn-around time Mentoring team members to generate quality data within agreed timelines To perform MET ID studies and providing final quality data with interpretation Peptide/ large molecule bioanalysis Coordination with related invitro verticals to plan the bioanalysis in cassette Excellent written and oral communication skills interacting with internal/external stakeholders Operation, maintenance and troubleshooting of HPLC/ LC-MS/MS system Preparation of protocols, reports and templates for responsible activities Instrument maintenance, calibration and maintaining documentation as per regulatory requirements and company policy Adhering to safety and quality policies laid by organization Formulation analysis data review and trouble-shooting for quicker resolution Leadership Capabilities: Should be able to guide/mentor the juniors for trouble-shooting and BA method development issues. Should be able to lead a team of 3 to 4 scientists Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Specific Requirements For This Role Experience: Minimum 6 to 9 years of relevant industrial experience Demonstrated Capability Hands-on experience in handling of LC-MS/MS systems is mandatory and experience on HRMS is advantageous Expertise in column selection, mobile phase selection, solvent preparations and sample processing techniques such as protein precipitation, liquid-liquid extraction and solid phase extraction Comprehensive understanding of in vitro ADME assays and technical expertise in trouble shooting the assay samples analysis. Basic knowledge on Large molecule and Peptides analysis using LCMS/HRMS Should assist/deliver the scientific presentation in departmental journal club and write official Project reports Should be equipped with quality policies related to data management and data integrity Education: M. Pharm in Pharmaceutical sciences/ Relevant master’s degree in pharmaceutical sciences or instrumentation Skills And Capabilities Good communication skills Strong problem-solving and handling skills Team Player Ability to learn/implement new assay in ADME and Analytical Quality compliance skills Behavioral Skills Demonstrate strong people management skills, leading by example with a high level of emotional intelligence, and be willing to work collaboratively with other functional groups. Excellent interpersonal, communication and presentation skills. Ability to lead cross-functional teams and act as a true team player. Ability to discuss and debate data and project strategy with demanding clients and scientific experts. Equal Employment Opportunity It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities. Show more Show less

Job Description Introduction: A Career at HARMAN Digital Transformation Solutions (DTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility Empower companies to create new digital business models, enter new markets, and improve customer experiences What You Will Do As the Infor M3 ERP Senior Manufacturing Consultant, you will be responsible to implement the Infor M3 (V15.x ) ERP system and related business solutions for our global customers. Functional Responsibilities Develop and execute approaches to analyze variety of Healthcare and Life sciences datasets, primarily creating reports on exploratory data analysis and statistical reports Strong proficiency with manipulating data with PL-SQL ( ORACLE 11g) A high comfort level with data manipulation and extraction of meaningful insights from large data and prior experience of working with IMS Health data assets or Patient level data (APLD) data is a plus. Experience with SQL/SAS/WPS is acceptable. What You Need Minimum 3 to 5 years of experience of working with pharmaceutical databases, including patient level transactional data, Claim analytics is preferred. Being creative in identifying new techniques and processes to streamline and increase efficiency and effectiveness of current work-streams is a plus. High level of attention to detail and problem solving Exposure on various Healthcare data sources like SHS, IQVIA, DRG , Labcorp, Flatiron Experion …etc Have strong experience claims data and worked on various patient level data analytics like Adherence Studites, Line of therapy and Treatment Path analysis. Experienced on HEOR studies. Preference will be given to applicants with a demonstrated ability to work independently, take initiative, and manage responsibilities on multiple projects simultaneously. Professional requirement Post graduate degree in Economics, MBA, Statistics, Mathematics, Operations Research, Quantitative Analysis, or related field Well-organized, capable of handling several projects at a time while meeting deadlines What Makes You Eligible 3-5 years of consolidated work experience in Analytic Industry. Strong statistical and quantitative analysis skills. Knowledge of Statistical Analysis for Advanced knowledge of PL/SQL and experience with statistical packages such as R/SAS Strong problem solving skills Excellent Data Interpretation Skills. Experience In Using Charting/reporting Skilled in MS-Office, specifically Excel and Powerpoint Should have strong knowledge of Healthcare domain OR any specific knowledge on Retail and FMCG/CPG industry will be an added advantage. Knowledge on Pharmaceutical Rx claims/ Medical claims will be an added advantage Intermediate to advanced proficiency in Excel and VBA Automate data analysis in support of the client office’s principals and consultants Utilize SAS/WPS/R to create and automate analytical and modeling processes Preference will be given to applicants with a demonstrated ability to work independently, take initiative, and manage responsibilities on multiple projects simultaneously What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies An inclusive and diverse work environment that fosters and encourages professional and personal development. “Be Brilliant” employee recognition and rewards program. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Show more Show less

End-to-end development and delivery of MIS reports and dashboards supporting credit card and lending portfolio acquisition, early engagement, existing customer management, rewards, retention and attrition. Partner with business stakeholders to understand requirements and deliver actionable insights through automated reporting solutions. Maintain and optimize existing SAS-based reporting processes while leading the migration to Python/PySpark on Big Data platforms. Design and build interactive dashboards in Tableau for senior leadership and regulatory reporting. Build and implement an automated audit framework to ensure data accuracy, completeness and consistency across the entire reporting life cycle. Collaborate with Data Engineering and IT teams to leverage data lakes and enterprise data platforms. Mentor junior analysts and contribute to knowledge sharing across teams. Support ad-hoc analysis and audits with quick turnaround and attention to data integrity. Qualifications: Experience in MIS reporting, data analytics, or BI in the Banking/Financial Services, with a strong focus on Credit Cards. Proficiency in SAS for data extraction, manipulation, and automation. Advanced skills in Python and PySpark, particularly in big data environments (e.g., Hadoop, Hive, Databricks). Expertise in Tableau for dashboard design and data storytelling. ------------------------------------------------------ Job Family Group: Management Development Programs ------------------------------------------------------ Job Family: Undergraduate ------------------------------------------------------ Time Type: ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are now looking for highly driven and innovative ASIC / Hardware Engineers. We are looking for bright engineers across our hardware engineering groups to help us Architect, Design and verify our next generation GPUs, CPU and SoCs meant to accelerate the performance of Data Center, Machine Learning, Autonomous Driving, Ray Tracing and many more exciting applications. You will get to work on high performance GPU / SOC/ CPU across Memory sub-systems, Graphic processing units, NOC based Interconnect Fabric, High speed IO's etc. What You'll Be Doing Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system. Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption. Understand key performance use cases or the product. Develop workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications running on our products. You will be responsible to make architectural trade-offs based on feature/performance/power requirements, analyse system implications, come up with the micro-architecture, implement RTL, drive the verification, close timing, and support silicon validation. Developing test plans, tests and verification infrastructure for complex IP's/sub-system/SOC's. Creating verification environment using UVM methodology and reusable bus functional models, monitors, checkers and scoreboards. Driving functional coverage driven verification closure. Develop and enhance timing analysis/signoff work-flow from frontend (pre-layout) to backend (post-layout) at both chip and block level. Develop custom timing scripts using tcl/primetime for clock skew analysis, special circuits such as clock dividers, core logic IO macros interfaces such as PCI-E, Frame-Buffer/Memory, HDMI, etc. Chip level Integration, physically partitioning and floor planning along with Physical Verification and EM IR Drop You will be responsible for the design and implementation of state-of-the-art designs in test access mechanisms, IO BIST, memory BIST and scan compression. In addition, you will help develop and deploy DFT methodologies for our next generation products. Be apart of innovation to strive improve the quality of DFT methods. Work with architects, designers and post-silicon teams. What We Need To See BTech/MTech with 2+ years of experience in micro-architecture, RTL development of complex designs. Possess strong digital design fundamentals. Preferably have a deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor planning, ECO, bring up and lab debug is a prerequisite for this role. If you have experience in at least a few of the following skills, we will have an excellent match for our needs: GPU / CPU / SOC Performance verification and analysis. CPU, Memory controller, Bus Interconnect, Cache coherency IP / SOC Design, Micro-architecture across High Speed IO controller (UFS/PCIE/ XUSB), Network on Chip / 10G Ethernet MAC and (or) Switch IP / SOC Graphics Processing Unit (GPU Design & Verification) BOOT and Power management features for complex SOC’s FPGA Prototype with prior experience in HAP Good debugging and analytical skills. Good interpersonal skills and ability to work as an excellent teammate Excellent communication skills to collaborate with cross-cultural teams and work in a matrix organization With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and independent, with a genuine real passion for technology, we want to hear from you. JR1978791 Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Meet Our Team Sr. Data Scientist – Job description The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What To Bring BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 4+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all levels How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

Requisition Id : 1603797 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Associate Consultant-TMT-Assurance-ASU - TR - Technology Risk - Hyderabad TMT : Industry convergence offers TMT (Technology, Media & Entertainment, and Telecommunications) organizations the chance to evolve and transform, but it also presents challenges around competitiveness and delivering agile corporate strategies for growth. We help TMT companies create compelling employee and customer experiences, retaining skills and talent while achieving enterprise-wide operational excellence. We help them guard their data, brand and reputation. We also enable the pursuit of M&A strategies that methodically create value, reduce risk and transform TMT companies into powerhouses that will lead the technology revolution of the future – building a better working world for all. ASU - TR - Technology Risk : Assurance’s purpose is to inspire confidence and trust to enable a complex world to work. We do so by protecting and serving the public interest, promoting transparency, supporting investor confidence and economic growth and fostering talent to provide future business leaders. We help clients by: Ensuring their accounts comply with the requisite audit standards Providing a robust and clear perspective to audit committees and Providing critical information for stakeholders. Our Service Offerings include External Audit, Financial Accounting Advisory Services (FAAS), IFRS & US GAAP conversion, IPO and other public offering, Corporate Treasury - IFRS 9 accounting & implementation support etc Your key responsibilities Technical Excellence Your key responsibilities To carry out operational, financial, process and Systems audits designed to review and appraise its activities, systems, and controls, which includes: Identifying accounting & auditing issues; discuss with audit in-charge to solve issues that arise, To carry out substantive testing of appliances in accordance with the audit plan formulated & appropriately document all work performed, Identifying improvements to control systems and procedures Presenting audit reports clearly highlighting key audit recommendations to management, Preparing & maintaining statutory books of accounts, audit, reconciliation of account receivable & payable, finalization of accounts, Assist the seniors in reviewing & checking the financial statements & preparation of the audit report, management comment letter & management representation letter Skills and attributes for success Must have strong knowledge of auditing & accounting standards, Should have handled statutory audit assignments earlier, Ability to prioritize work on multiple assignments & manage ambiguity, Strong verbal and communication skills, Clarity of thoughts and assertive, Effectiveness and creativity of written expression - logical, readability and conciseness, Ability to meet deadlines. Audit Analytics Foundational analytics in areas such as Journal entry testing, Hire to Retire, Procure to Pay, Acquire to Retire Order to Cash, Record to Report, Production and Inventory, Re-performance testing Sector specific analytics (Advanced/Custom analytics) Visualization Automated analytics model development for statutory audit enablements Data extraction from Client ERPs Design, review and rectify algorithms, systems and processes to analyze client data, as well as implement them in the appropriate tools and technologies Hands on experience in analytics in financial reporting Hands on experience in Machine Learning using R or Python with strong statistical background is a must Knowledge of databases, ETL, and hands on experience / theoretical knowledge in SQL Experience in any of the visualization tools like Tableau, Spotfire, Qlikview, etc Knowledge and experience in ERP such as SAP and / or Oracle and data extraction Proficiency in MS Office Suite (advanced Excel skills & Macros) Experience in NLP/ Web Scraping/ Log Analytics/ TensorFlow/ AI / Beautiful Soup Experience in Iron Python/JavaScript Skills and attributes To qualify for the role you must have Qualification BE/ B.Tech,, or MSC in Computer Science/Statistics or M.C.A Experience 3 - 6 years of relevant experience What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Show more Show less

Job Description About Goldman Sachs At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities. Global Banking & Markets Our core value is building strong relationships with our institutional clients, which include financial service providers, and fund managers. We help them buy and sell financial products exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial with a passion for the markets, with individuals who thrive in fast-paced, changing environments and energized by a bustling trading floor. Business Unit / Role Overview Loan Management primarily supports the Global Banking & Markets Division at Goldman Sachs. This team is responsible for overseeing and facilitating due diligence at both the deal and asset levels for financing, asset management, and sales/securitizations of various loan portfolios across the US, EMEA, and APAC regions. The US/EMEA/APAC Mortgage desk is involved in market-making for loan businesses and Asset-Backed Securities, with a focus on financing and advisory-related workstreams. This role places Loan Management at the core of the evolving banking and capital markets landscape, designing strategies for Goldman Sachs to be a long-term participant in these new capital flows. Loan Management is currently seeking an Analyst to support the US and EMEA loans business. The successful candidate will be responsible for trade closing analytics, quantitative analysis related to pre-trade collateral analytics and valuation, and ongoing post-trade asset management of loan portfolios. Additionally, the role involves ensuring the integrity, definition, structure, and unity of purpose of data within Goldman Sachs' system of record. Job Responsibilities Analyze client portfolios, including Residential and Commercial Real estate Mortgages, and various Consumer Loans (e.g., Student, Credit Card, Auto, Personal). This involves data extraction, quality checks, portfolio segmentation based on key collateral characteristics, and data stratification. Learn and apply Discounted Cash Flow/ internal loan pricing models for potential financing or advisory purposes. Provide insightful commentary on collateral performance and key valuation drivers. Estimate credit losses using existing valuation models and rating agency models and summarize the output for Desks and Client presentations. Ensure the accuracy of data underlying all analytics, including timely verification of deal-related documents. Participate in transaction management activities for both new and existing positions. Interface with Loan Servicers, Controllers, Operations, Risk, and other relevant teams to ensure accurate data capture and flow to relevant systems. Coordinate with Technology and internal departments to develop new vendor data feeds and enhance internal databases. Manage the file load process for vendor data feeds. Manage and create data quality control checks for internal databases and resolve issues through analytic research. Automate repetitive tasks using industry-standard tools. Assist the mortgage and consumer desk in obtaining market securitization insights. Manage P&L aspects of book portfolios for multiple mortgage desks. Fulfill ad hoc requests from stakeholders. Provide portfolio analytics periodically or on-demand. Basic Qualifications Strong academic background with 2-3 years of related experience in finance, business, math, statistics, or accounting, and a minimum GPA equivalent of 3.0. Highly motivated self-starter with strong mathematical, logical reasoning, and analytical skills. Attention to detail and the ability to prioritize workload and manage expectations until project completion. Demonstrated ability to be a strong team player, collaborating effectively within and across teams. Excellent communication skills, capable of conveying technical concepts clearly and concisely, and managing internal and external relationships. Proactive thinker who anticipates questions, plans for contingencies, finds alternative solutions, identifies clear objectives, and makes defensible judgments regarding workflow. Ability to see the big picture and effectively analyze complex issues. Preferred experience in mortgage banking, fixed income products, bonds/loans, or other financial industry sectors. US/EMEA/APAC experience is an added advantage. Up-to-date with emerging business, economic, and market trends. Proficient in Excel and SQL. Knowledge of coding languages such as Python (pandas/NumPy). Understanding of database objects and data structures. Experience working with large data sets is a plus. Experience in using tools like CAS, Tableau, PowerBI, Alteryx will be good Ability to work under tight time constraints and extended hours as required. Strong project management and organizational skills. Candidates with certifications like CFA or FRM are preferred. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

About This Role Company Overview: BlackRock is a global leader in investment management, risk management, and advisory services for institutional and retail clients. We help clients achieve their goals and overcome challenges with a range of products, including separate accounts, mutual funds, iShares® (exchange-traded funds), and other pooled investment vehicles. We also offer risk management, advisory, and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions®. Headquartered in New York City, as of February 5, 2025, we handle approximately $11.5 trillion in assets under management (AUM) and have around 19,000 employees in offices across 38 countries, with a significant presence in key global markets, including North and South America, Europe, Asia, Australia, the Middle East, and Africa. Aladdin Data When BlackRock was founded in 1988, the goal was to combine financial services with innovative technology. Today, BlackRock is a leading FinTech platform for investment management and technology services globally. Data is central to the Aladdin platform, differentiating us through our ability to consume, store, analyze, and gain insights from it. The Aladdin Data team maintains a pioneering data platform that delivers high-quality data to users, including investors, operations staff, data scientists, and engineers. Our aim is to provide consistent, high-quality data while evolving our platform to support the firm's growth. We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities. We are looking for a Software Engineer to join our team and play a critical role in building our next-generation Data & AI platform. In this role, you will work on building AI-driven platform designed for large scale document extraction. Additionally, you will transform existing workflows by integrating cutting-edge large language models, enabling scalable and intelligent automation. Responsibilities Architect and Develop Cutting-Edge Solutions: Design and implement comprehensive, end-to-end solutions for the Data & AI platform, delivering seamless product experiences. Integrate Generative AI into Workflows: Collaborate with cross-functional teams to embed generative AI capabilities into existing workflows. Develop High-Performance APIs: Build and maintain scalable, reliable, and efficient API components that power document extraction systems. Write Clear, Comprehensive Technical Documentation: Produce detailed, easy-to-understand technical documentation to support developers, stakeholders, and end-users. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred. Have 3+ years of software engineering industry experience Proficiency in building backend using technologies such as Python, Java, or Go. Experience with cloud platforms (e.g. Azure) Experience with AI/ML systems or large language models Have hands-on experience working with large language models and prompt engineering Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

The role The Data Analyst – Investment Team is a vital role within the Blenheim Chalcot portfolio and BCI Finance . A Data Analyst – Investment Team supports investment professionals by analyzing financial, market, and economic data to identify trends, risks, and opportunities. They build models, dashboards, and reports to guide investment decisions, ensuring strategies are data-driven and aligned with performance goals.. You will gain hands-on experience in a fast-paced and progressive environment, where you will support us in building our next generation of GenAI enabled tech businesses. List Of Key Responsibilities And Duties Run-Off Modelling Build, maintain, and analyse run-off models to assess credit security against borrower loan portfolios. Contribute to quarterly IFRS9 provisioning by updating run-off models. Run scenario and sensitivity analysis for potential new deal structures. Borrower Data Analysis Conduct loan-level analysis to identify performance trends, portfolio risks, and concentration issues. Support investment memo preparation with credit risk analysis. Update and maintain PowerBI dashboards for ongoing borrower monitoring. Feedback on emerging trends in BCI’s portfolio during monthly monitoring sessions. Data Management and Platform Building Manage data uploads from borrower excel files into a PostgreSQL database; maintain ongoing data integrity. Help map new borrower data into the existing data framework. Assist in developing Python-based analytics tools for internal use by non-technical team members. Technical Experience Necessary tools Excel – for complex model building and analysis Python – for in-depth data analysis and development of complex models AI tools (Cursor, ChatGPT, etc.) – used to accelerate analysis and scripting Nice-to-haves SQL (PostgreSQL) – for data extraction, uploads, and structuring PowerBI – for dashboarding and trend analysis *Support in SQL, python and PowerBI will be available in BCI’s India team. A good excel background with some knowledge/experience with python is required. About You The ideal candidate will have a track-record in delivering results in a fast-moving business and hence be comfortable with change and uncertainty. Excellent stakeholder management experience is essential to being successful in this role. List Of Qualifications, Technical And Or Professional Experience list of qualifications, technical and or professional experience Strong quantitative background (STEM or finance-heavy academic background) Solid experience with Excel and financial model logic Working knowledge of Python and/or SQL Basic understanding of credit risk and investment structures Ability and experience working with large datasets About Blenheim Chalcot Blenheim Chalcot is one of the leading venture builders in the world. We have been building exciting and disruptive businesses for over 26 years across sectors including FinTech, EdTech, GovTech, Media, Sport, Charity and more. These companies are all GenAI enabled and are some of the most innovative companies in the UK and increasingly around the world. The BC team in India has been instrumental to the growth and success of Blenheim Chalcot. Established in 2014, Blenheim Chalcot India serves as a pivotal launchpad for those aiming to make a difference in the realm of innovation and entrepreneurship. Blenheim Chalcot India is driven by a mission to empower visionaries to lead, innovate, and build disruptive solutions. We support our diverse portfolio of ventures and create impactful solutions that shape global trends. We provide a range of services to help new business get off the ground, including technology, growth (marketing and sales), talent, HR, finance, legal and tax, plus so much more! One of our FinTech ventures, BCI Finance, is scaling fast and we’re looking to hire high energy, motivated and curious talent to support them on that journey! About BCI Finance BCI Capital, part of Blenheim Chalcot, is a private credit-specialist Investment Manager focused on supporting high-growth fintechs with flexible debt solutions. With a strong track record through its Credit Opportunities Fund, BCI aims to build long-term borrower relationships by offering empathetic, growth-focused funding. The role involves supporting the Loan Operations team with the daily administration and oversight of the existing loan portfolio. What We Can Offer You Be part of the World’s Leading Digital Venture Builder Have the opportunity to be a part of and learn from the incredible diverse talent in BC Be exposed to the right mix of challenges, within a culture that promotes continuous learning and development and opportunity to work with Gen AI A fun and open, if a little cricket obsessed, atmosphere – we own the Rajasthan Royals IPL team! 24 days of annual leave &10 public holiday days Private Medical for you and your immediate family & Life Insurance for yourself Important At Blenheim Chalcot, we strive to create an environment where differences are not only accepted but greatly valued; where everyone can make the most of their capabilities and potential. We promote meritocracy, competence and the sharing of ideas and opinions. We are driven by data and believe the diversity, agility, generosity, and curiosity of our people is what sets us apart as an organisation. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talent. Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Summary The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is GE Aerospace’s multidisciplinary research and engineering center. Pushing the boundaries of innovation every day, engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In This Role, You Will Develop analytics within well-defined projects to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members. Required Qualifications Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience. Desired Characteristics Expertise in one or more programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques. Exceptional ability to analyze large, complex data sets and derive actionable insights. Proficiency in applying descriptive, predictive, and prescriptive analytics to solve real-world problems. Demonstrated skill in data cleansing, data quality assessment, and data transformation. Experience working with big data technologies and tools (e.g., Hadoop, Spark, SQL). Excellent communication skills, both written and verbal. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams Demonstrated commitment to continuous learning and staying up-to-date with the latest advancements in data science, machine learning, and related fields. Active participation in the data science community through conferences, publications, or contributions to open-source projects. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Flexibility to work on diverse projects across various domains. Preferred Qualifications Awareness of feature extraction and real-time analytics methods. Understanding of analytic prototyping, scaling, and solutions integration. Ability to work with large, complex data sets and derive meaningful insights. Familiarity with machine learning techniques and their application in solving real-world problems. Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Domain Knowledge Demonstrated awareness of industry and technology trends in data science Demonstrated awareness of customer and stakeholder management and business metrics Leadership Demonstrated awareness of how to function in a team setting Demonstrated awareness of critical thinking and problem solving methods Demonstrated awareness of presentation skills Personal Attributes Demonstrated awareness of how to leverage curiosity and creativity to drive business impact Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward . Additional Information Relocation Assistance Provided: No Show more Show less

ESG Specialist team provides subject matter expertise, skills and specific knowledge in order to build and to maintain the content currently covered on existing databases or using that knowledge to test future databases , tools and systems. The Specialist team is responsible for driving automation and simplification to achieve efficiency and quality within ESG Operations. The successful applicant will be comfortable working in an agile environment and will be able to lead the delivery of automations and process simplifications in ESG Content Operations. Role , Responsibilities & Key Accountabilities: Develop and deploy machine learning and deep learning models to solve complex problems. Conduct statistical analysis to identify trends, patterns, and insights. Application of data science skills to develop intelligent systematic checks on textual and Boolean data to identify incorrect and missing data Manage data extraction, reporting, data analysis. Utilize SQL to query and manage large datasets. Implement web scraping techniques to gather relevant data from various sources. Work with large language models (LLMs) for natural language processing tasks. Required Skills: Proficiency in ML, deep learning, and statistical analysis techniques. Strong Python & SQL skills for data querying and manipulation. Proficiency in Microsoft Power Platform. Experience with web scraping tools and frameworks. Working knowledge of NLP and LLM concepts, familiarity with BERT, GPT, etc. Strong problem-solving and analytical skills. Reporting using Python visualization packages (e.g., Matplotlib, Seaborn) and Microsoft Power BI. Desired Skills: Knowledge of LSEG proprietary systems for automations including LEAD & DEMING. Understanding of ESG content and marketplace. Understanding of 6 sigma principles. Education: Data Science Certification or Degree in Software Engineering or Degree in computer science subject area or Any Degree along with expertise in programming languages like Python , VBA , SQL etc. People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Show more Show less

DESCRIPTION Global Forward deployment and Regionalization team is looking for an experienced Software Development Engineer to work on our Global Store technology stacks, which enables to launch new Global Store arc with local language, local currency and local payments. The Global Store strategy, and roadmap is one of the most important initiatives across Amazon. You will design, architect and innovative technology solutions that will reduce time to market, standardize execution and scale for expansion globally. You will build, operate and play a key role in the evolution of our platform to solve the world's most complex technical challenges in Information extraction, Large-scale computing, Distributed systems, Web applications, Data mining, Scalability, Security, and Algorithms to name a few. You’ll strive for simplicity, and demonstrate significant creativity and high judgment. The job is simple: make everything available to everyone all the time at the best possible price. The requirements are almost as simple - we’re looking for leaders and trailblazers who aren’t afraid of tackling massive scale, layered complexity and ambiguous requirements to empower our customers to shop the World. No two features are ever the same and our customers are hungry for every single one! What To Expect Day-to-day: Facilitate the design of the architecture of these distributed and highly scalable systems. Solve complex problems through data, rapidly. Design and develop state of the art software systems that address these complex and ambiguous problems. Own the inputs and the business outcome through cultivating a culture of relentless auditing and metric monitoring, automatically where possible. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Key job responsibilities The job is simple: make everything available to everyone all the time at the best possible price. The requirements are almost as simple - we’re looking for leaders and trailblazers who aren’t afraid of tackling massive scale, layered complexity and ambiguous requirements to empower our customers to shop the World. No two features are ever the same and our customers are hungry for every single one! What To Expect Day-to-day: Facilitate the design of the architecture of these distributed and highly scalable systems. Solve complex problems through data, rapidly. Design and develop state of the art software systems that address these complex and ambiguous problems. Own the inputs and the business outcome through cultivating a culture of relentless auditing and metric monitoring, automatically where possible. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2930276 Show more Show less

ABOUT THE PYTHON DATA ENGINEER ROLE: We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases. This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation. KEY RESPONSIBILITIES: Develop, test, and maintain efficient Python applications. Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading. Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources. Design and implement algorithms for data processing, transformation, and analysis. Write optimized SQL queries and work with relational databases to manage and analyse large datasets. Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions. Ensure code quality, performance, and scalability through best practices and code reviews. Stay updated with the latest advancements in Python, data engineering, and backend development. REQUIRED QUALIFICATIONS: Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. 3–5+ years of hands-on experience as Data Engineer using Python Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy. Experience with Data Visualization tools such as Power BI, Tableau Strong understanding of relational databases and SQL. Experience working with cloud platforms such as AWS Strong problem-solving skills with an analytical mindset. Excellent communication skills and the ability to work in a collaborative team environment. WHY JOIN US? Highly inclusive and collaborative culture built on mutual respect. Focus on core values, initiative, leadership, and adaptability. Strong emphasis on personal and professional development. Flexibility to work remotely and/or hybrid indefinitely. ABOUT WIN: Founded in 1993, WIN is a highly innovative proptech company revolutionizing the real estate industry with cutting-edge software platforms and products. With the stability and reputation of a 30-year legacy paired with the curiosity and agility of a start-up, we’ve been recognized as an Entrepreneur 500 company, one of the Fastest Growing Companies, and the Most Innovative Home Services Company. OUR CULTURE: Our colleagues are driven by curiosity and tinkering and a desire to make an impact. They enjoy a culture of high energy and collaboration where we listen to each other with empathy, experience personal and professional growth, and celebrate small victories and big accomplishments. Click here to learn more about our company and culture: https://www.linkedin.com/company/winhomeinspection/life Show more Show less

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description Join Amazon Payment Services to drive innovative payment solutions across Africa, Middle East, and Turkey. You'll collaborate with internal teams and banking partners to enhance customer experience through frictionless payment methods. This role offers the opportunity to shape the future of digital payments while ensuring reliable transactions for millions of customers and sellers across five countries. The role requires engaging with various teams in Amazon to understand customer pain points in Payments and build mechanisms and processes to eliminate these pain points. Build robust operational processes and drive continuous improvements through customer anecdotes. Manage incidents related to Payments, trouble shoot, engage internal and external teams to mitigate customer impact and fix problems. Drive Payments Incident Management process to manage critical escalations, customer facing communications, and handling large-scale customer impacting events. Drive operational excellence and improvements to the overall customer experience. Supports a wide range of technology platforms across several countries and closely work with team of engineers to streamline transaction monitoring, anomaly detection and ongoing issues impacting customer's ability to make Payments on Amazon websites. Manage real-time support, communication, escalation, reporting, and root cause analysis of software outage events that impact the Amazon customer experience. You will work with Incident Management team who handles escalations from various teams through tickets and guide them as Payments Subject Matter Expert, build SOPs, processes, automations to reduce incoming tickets. You are required to work with external Payments Partners to drive continuous improvements on core metrics and escalation issues which are impacting customers. Deliver timely, accurate and professional technical support and information to all key stakeholders around the world including both business and technical audiences. Responsible for the day-to-day operations & set up mechanisms/processes to monitor payment success rates 24x7 across banks, partners, merchants and improve the same through operational excellence. Become SME (subject matter expert) for existing payments technologies as well as new technologies as they emerge. A solid background in business operations and a technical background is essential for your success in this position. Must apply the technical skills to automate data extraction and metrics calculation to reduce manual intervention. You should be passionate about problem solving, managing relationships, and metric development enabling management to make breakthrough decisions and delight our customers. You should have experience working with technology and engineering teams and have knowledge on payment processing. Key job responsibilities A Bachelor's Degree at a well-regarded Institution in an Analytical Field (Economics, Computer Science, Mathematics, Statistics or Finance) Drive the resolution of large scale customer impacting incidents as part of a team rotation Drive critical, complex customer escalations in situations that are sometimes technically challenging in collaboration with Engineering Teams. Lead projects and virtual teams to drive operational improvements Program management working together with technical teams to improve payments products and customer experience 3+ years of program or project management experience. Ability for data gathering and analyzing skill, clear logic to address root cause and suggest solutions to customer problem. Influence technical documentation content, perform documentation review, dive deep into system layouts and solutions. Should be process oriented with experience of building Strong/sustainable processes. Should have Incident Management Experience. Must derive metrics from data and track these metrics. Excellent written, oral communication and presentation skills and the ability to express thoughts logically. Demonstrated active listening skills, highly consultative and solutions-oriented. Deep understanding of and passion for e-commerce desired. 3+ years of work experience analyzing data with strong statistical and Quantitative Modeling. Demonstrate Intense Customer/Seller Focus and Highest level of Integrity, Intellectual Honesty and Strong Work Ethic. Be Sharp, Analytical and thoughtful. High Attention to Detail and proven ability to manage multiple Competing priorities Simultaneously. Should be able to work in flexible shifts. Basic Qualifications 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience 3+ years of defining and implementing process improvement initiatives using data and metrics experience Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL Experience defining program requirements and using data and metrics to determine improvements Preferred Qualifications 3+ years of driving end to end delivery, and communicating results to senior leadership experience 3+ years of driving process improvements experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Experience building processes, project management, and schedules Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Show more Show less

The Clinical Data Manager I is an end-to-end data custodian and plays a key role in managing data and ensuring its accuracy, completeness, and compliance with regulatory standards while providing data management support to study teams. The Clinical Data Manager excels in defining overall data standards, data collection requirements, data import, extraction, reporting, and analysis methods. The incumbent shall demonstrate a strong working knowledge of Good Clinical Data Management Practices. Key Responsibilitie sThe Clinical Data Manager I plays an essential role in the efficient design of project databases, the integration of data from multiple sources, and the reporting and analysis of key study data metrics. The incumbent will recommend and drive solutions for database design and data reporting. This role is critical for meeting sponsor study data endpoints and requirements .Design study CRFs and databases utilizing eCRF librar yCreate study Data Management Plan and deployment roadma pMonitor study timelines and communicate ris kDevelop database edits, rules, and derivation sPrepare tracking reports and metric sFacilitate study team involvement in database developmen tPrepare data extracts and processing for sponsor deliverable sCommunicate with sponsors regarding study data processes, endpoints, and overall data management proces s Functional Competencies (Technical knowledge/Skill s)Technical project management and oversig htTask creation and tracking via ticketing softwa reProficient with clinical data management syste msExperience working with research support or clinical te am Experience, Education, and Certificati onsBachelor’s Degree in Life Science (Biology, Medical Technology, Research Psychology, Math or Health Science or equivalent experience in a related fi eldPractical work experience in a clinical or technical sett ingDemonstrated experience in team settings to achieve go alsDemonstrated experience with clinical data management syst emsExperience working with research support or clinical t eamEnglish: Flu ent Show more Show less

About PwC: PricewaterhouseCoopers (PwC) is a leading global consulting firm. For more than 160 years, PwC has worked to build trust in society and solve important problems for clients and the communities in which we live and work. Today we have more than 276,000 people across 157 countries working towards this goal. The US Advisory Bangalore Acceleration Center is a natural extension of our United States based consulting capabilities, providing support to a broad range of practice teams. Our US-owned ACs are fully integrated into our client facing teams and are key to PwC's success in the marketplace. Job Summary: At PwC, we are betting big on data, analytics, and a digital revolution to transform the way deals are done. Analytics is increasingly a major driver of competitive advantages in deal-making, and value creation for private equity owned portfolio companies. PwC brings data-driven insights through advanced techniques to help clients make better strategic decisions, uncover value, and improve returns on their investments. The PwC Deal Analytics & Value Creation practice is a blend of deals and consulting professionals with diverse skills and backgrounds, including financial, commercial, operational, and data science. We support private equity and corporate clients across all phases of the deal lifecycle, including diligence, post-deal, and preparation for exit/divestiture. Our data-driven approach delivers insights in diligence at deal speed, works with clients to improve performance post-deal, and brings a commercial insights lens through third-party and alternative data to help inform decisions. A career in our fast-paced deal analytics practice, a business unit within the PwC deals platform, will allow you to work with top private equity and corporate clients across all sectors on complex and dynamic multi-billion-dollar decisions. Each client, deal, and situation is unique, and the ability to translate data into actionable insights for our clients is crucial to our continued success. Job Description As an Experienced Associate, you will work as part of a team of problem solvers, helping solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Share and collaborate effectively with others. Contribute to practice enablement and business development activities Learning new tools and technologies if required. Develop/Implement automation solutions and capabilities that are aligned to client's business requirements Identify and make suggestions for improvements when problems and/or opportunities arise. Handle, manipulate and analyze data and information responsibly. Keep up to date with developments in the area of specialism. Communicate confidently in a clear, concise, and articulate manner - verbally and in the materials you produce. Build and maintain an internal and external network. Seek opportunities to learn about how PwC works as a global network of firms. Uphold the firm's code of ethics and business conduct. Preferred Fields Of Study/Experience Bachelor's/Master’s degree from a reputed institute in Business Administration/Management, Data Science, Data Analytics, Finance, Accounting, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Mathematics A total of 1-4 years of work experience in analytics consulting and/or transaction services Preferred Knowledge/Skills Our team is a blend of deals and consulting professionals with an ability to work with data and teams across our practice to bring targeted commercial and operational insights through industry-specific experience and cutting-edge techniques. We are looking for individuals who demonstrate knowledge and a proven record of success in one or both of the following areas: Business Experience in effectively facilitating day to day stakeholder interactions and relationships based in the US Experience working on high-performing teams preferably in data analytics, consulting, and /or private equity Experience working with business frameworks to analyze markets and assess company position and performance Experience working with alternative data and market data sets to draw insight on competitive positioning and company performance Understanding of financial statements, business cycles (revenue, supply chain, etc.), business diligence, financial modeling, valuation, etc. Experience working in a dynamic, collaborative environment and working under time-sensitive client deadlines Provide insights by understanding the clients' businesses, their industry, and value drivers Strong communication and proven presentation skills Technical High degree of collaboration, ingenuity, and innovation to apply tools and techniques to address client questions Ability to synthesize insights and recommendations into a tight and cohesive presentation to clients Proven track record of data extraction/transformation, analytics, and visualization approaches and a high degree of data fluency Proven skills in the following preferred: Python, Advanced Excel, Alteryx, PowerBI (including visualization and DAX), Pyspark Experience working on GenAI / large language models (LLMs) is a good to have Experience in big data and machine learning concepts Strong track record with leveraging data and business intelligence software to turn data into insights Show more Show less

Primary Responsibilities- ● Understand the requirements of the business in terms of digital advertising and social media performance measurement. ● Set up and execute digital ad campaigns. Continuously monitor results and recommend new strategies based on data and testing. ● Understand important metrics and devise algorithms and methodologies to perform benchmark and competitor analysis. ● Work with other departments to ensure goal and strategy alignment. ● Create and own the dashboard/report generation processes as per the requirements with minimum supervision. ● Figure out the errors/bugs in the processes and dashboards and rectify the same making the existing processes robust. ● Build and maintain databases following the best practices to ensure the data availability and visibility for stakeholders at all times. ● Analyze performance of campaigns and coordinate with various teams to efficiently run the digital campaigns. ● Take end to end ownership of the projects at various stages from data extraction, data cleaning, exploratory data analysis, dashboarding and reporting. ● Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. ● Create efficient codes and processes to create easy to read/visually representative dashboards and automate report generation. Qualifications- ● Degree in Technology, Computer Science, Statistics, Economics or a related discipline from a reputed institute. ● Must have knowledge of MS Excel/Google Sheets and understanding of SQL/Python codes. ● Knowledge of Data Structures is a plus. ● Aptitude and curiosity for solving problems with the ability to break down the problem into smaller parts. ● Penchant for business, curiosity about numbers and persistence to work with data to tease out insights. ● A self-starter mentality, a strong sense of ownership, and an appetite for learning. ● Ability to work in a fast-paced environment, prioritize tasks and deliver results with high accuracy. ● Organizational skills with an ability to stay focused on achieving time-bound results by coordinating with internal and external stakeholders. ● Experience of 1-3 years in the field of data analysis, statistical modeling or digital advertising. Show more Show less