1646 Clustering Jobs - Page 43

Job Description: Data Scientist Position Summary We are seeking a highly motivated Data Scientist to join our advanced analytics team. This role offers the opportunity to lead and contribute to a wide spectrum of machine learning and data-driven projects that influence strategic decisions across the organization. You will be expected to design and deploy innovative solutions in areas such as predictive analytics, customer segmentation, recommendation systems, churn prediction, time series forecasting, and anomaly detection . The ideal candidate is passionate about solving real-world business problems using data and has hands-on experience with Python, SQL, machine learning frameworks, and exploratory data analysis . Key Responsibilities Machine Learning & AI Development : Build, train, and optimize machine learning models using both supervised and unsupervised techniques, including but not limited to classification, regression, clustering, and dimensionality reduction. Exploratory Data Analysis (EDA) : Analyze complex datasets to discover trends, patterns, and actionable insights. Feature Engineering : Transform and optimize raw data into usable features that enhance model performance. Model Evaluation & Tuning : Evaluate model accuracy, perform hyperparameter tuning, and monitor performance over time. Stakeholder Collaboration : Translate business requirements into analytical solutions and clearly communicate insights and recommendations to both technical and non-technical stakeholders. Data Handling : Extract, clean, transform, and manage structured and unstructured datasets using SQL and Python. Solution Deployment : Integrate models into production environments and ensure they align with ongoing business goals. Required Skills & Qualifications Experience : 3–5 years of hands-on experience in Data Science, Machine Learning, or related analytics roles. Proven track record in building and deploying predictive models, segmentation algorithms, and clustering techniques. Technical Proficiency : Strong programming skills in Python (NumPy, pandas, scikit-learn, etc.) Expert in SQL for data extraction and manipulation. Solid grasp of statistical concepts, machine learning theory, and EDA practices. Experience with data visualization tools and presenting insights effectively. Preferred : Exposure to cloud platforms like AWS, GCP, or Azure. Experience with big data tools (e.g., PySpark) is a plus. Education : Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field. Degrees from Tier I/II institutions are preferred. Soft Skills : Excellent communication skills—both written and verbal. Strong analytical thinking, problem-solving ability, and a collaborative mindset. What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants. You can expect to learn about many aspects of businesses that our clients engage in. You will also learn effective teamwork and time management skills - key aspects for personal and professional growth. Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned as a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

Roles and Responsibilities Preferred Qualifications (Short & Accurate): 6+ years of experience in: Advanced expertise in Active Directory , Windows Server , and Clustering Provide Level 3 (L3) technical support for Windows systems, including troubleshooting and resolving complex issues related to Active Directory, DNS, clustering, and PowerShell scripting. SAN/NAS configurations, MS SCCM, VMware VCM Antivirus, App Whitelisting, Device Control TCP/IP, DNS, DHCP, scripting (e.g., PowerShell) VMware tech: vSphere, vCenter, VM deployment, snapshots, templates VMware View: Pool Management, Upgrades, Break/Fix MCSE certification or equivalent required Desired Skills & Capabilities: Strong analytical skills for complex issue resolution Experience in method selection and process improvement May lead or coordinate team activities

Key Skillsets Required: Provide L3 support for Windows Server environments (2012/2016/2019/2022), including system administration, patching, and performance tuning. Troubleshoot and manage Active Directory, DNS, DHCP, GPO, and domain services in multi-site environments. Administer and support virtualization platforms (VMware vSphere, Hyper-V), including provisioning and resource optimization. Good Experience in Terminal servers (Admin mode) & Windows Clustering, Basic knowledge on Storage, Networking, Firewall and backup Applications/devices Experience in VMware components Performance and/or network trace analysis for Servers. Working knowledge in Scripting and Automation Problem solving Capability in IBM, HP and Dell Hardware. Problem determination and resolution within SLA's Support and manage Office 365 services including Exchange Online, SharePoint Online, OneDrive, Teams, and Azure AD Sync. Administer backup and recovery solutions (e.g., Veeam, Commvault, Veritas NetBackup), and conduct regular restore tests and policy tuning. Should be able to Perform Root Cause Analysis for the incidents Should be able to do Capacity Planning Perform and document server migrations, DR drills, and system upgrades. Handle L2/L3 technical escalations Work with Local & Global Teams Ability to quickly analyze & diagnose technical problems Independently generates solutions based on analytical, technical skills and business knowledge Mentor and train other team members Willing to Work on Shifts based on the projects need Microsoft and other technical/industry certifications desirable. Proactive and clear communication skills Quality and Process Knowledge Other duties as assigned Show more Show less

ERM is seeking a (Senior) Quantitative Researcher to develop algorithms, financial models, and analytical tools that link non-financial ESG data with financial outcomes. This role is ideal for a professional with a strong quantitative background, proficient in statistical modelling, machine learning, and financial analysis. The candidate will work on transforming sustainability materiality and maturity frameworks into automated, scalable models that assess performance and valuation impacts. This is a non-client-facing offshore role focused on data-driven ESG research and tool development. The Ideal Candidate You bring a robust background in financial modelling and valuation with a deep passion for sustainability (e.g. climate, nature, employees wellbeing, sustainable revenue). You have demonstrated success in integrating ESG factors into transaction analysis and investment decision-making. With experience in investment banking, strategy consulting, or transaction advisory—and preferably exposure to private equity—you are adept at turning complex and qualitative ESG concepts into actionable financial insights. You will be able to communicate with senior stakeholders and provide thought leader in this evolving space. RESPONSIBILITIES: Quantitative Research & Algorithm Development Design data-driven models that quantify the impact of ESG factors on financial performance. Develop statistical algorithms that integrate materiality and maturity definitions into predictive financial models. Leverage machine learning techniques (e.g., regression analysis, clustering, time-series forecasting) to identify trends in ESG data. Data Analysis & Model Development Build automated financial modelling tools that incorporate non-financial (ESG) data and financial metrics. Develop custom ESG performance indicators that can be used in due diligence, exit readiness, and investment decision-making. Standardize ESG data inputs and apply weightings/scoring methodologies to determine financial relevance. Tool Development & Automation Work with developers to code ESG models into dashboards or automated financial tools. Implement AI/ML techniques to enhance model predictive capabilities. Ensure models are scalable and adaptable across multiple industries and investment types. Data Management & Validation Collect, clean, and structure large datasets from financial reports, ESG databases, and regulatory filings. Conduct sensitivity analyses to validate model accuracy and effectiveness. Ensure consistency in ESG metrics and definitions across all analytical frameworks. REQUIRED SKILLS & EXPERIENCE: Educational Background Master’s in Finance, Econometrics, Data Science, Quantitative Economics, Mathematics, Statistics, or a related field. CFA, FRM, or other financial analysis certifications are a plus. Technical & Analytical Proficiency Financial & Statistical Modelling: Advanced Excel, Python, R, or MATLAB for quantitative research and financial modelling. Machine Learning & AI: Proficiency in ML algorithms for forecasting, clustering, and risk modelling. Data Analysis & Automation: Experience with SQL, Power BI, or other data visualization tools. ESG & Financial Integration: Understanding of ESG materiality frameworks (SASB, MSCI, S&P, etc.) and their impact on valuations. Professional Experience Minimum 5-8 years in quantitative research, financial modelling, or ESG data analysis. Experience in building proprietary financial tools/models for investment firms or financial consultancies. Strong background in factor modelling, risk assessment, and alternative data analysis. Personal Attributes Highly analytical, structured thinker with attention to detail. Ability to work independently in an offshore role, managing multiple datasets and models. Passion for quantifying ESG impact in financial terms. Show more Show less

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft SQL Server Reporting Services Good to have skills : Microsoft SQL Server, Microsoft SQL Server Integration Services (SSIS)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement adjustments as necessary to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Reporting Services.- Good To Have Skills: Experience with Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server.- Strong understanding of database design and management principles.- Experience in developing and deploying reports using SQL Server Reporting Services.- Ability to troubleshoot and optimize SQL queries for performance. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Reporting Services.- This position is based at our Hyderabad office.- A 15 years full time education is required.- Resource should work on Shift B (12:30pm till 10:00pm) Qualification 15 years full time education

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus. Should have hands-on experience on database using SQL. Should have knowledge on Data visualization tool like Power BI. Good to have experience in any AutoML tool. Good to have experience in GenAI. Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience Should be at least around 5-6 years of experience in Analytics Should have understanding and experience of analytics best practices. Excellent business communication, Consulting, Quality process skills Must be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct reportees, as per the organization policies Foster teamwork and lead by example Training and mentoring of project resources Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc) Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ Finance Prior Client facing skills Prior onsite experience is a plus Should have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

Project Role : Operations Engineer Project Role Description : Support the operations and/or manage delivery for production systems and services based on operational requirements and service agreement. Must have skills : Microsoft Windows Server Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Operations Engineer, you will support the operations and/or manage delivery of production systems and services based on operational requirements and service agreement. Your typical day will involve ensuring the smooth functioning of production systems and services, addressing operational requirements, and adhering to service agreements. Roles & Responsibilities:1.Windows Clustering Setup and ConfigurationCluster MonitoringFailover managementResource managementVertical and Horizontal ScalingTroubleshoot issues2.Windows storage management skills3.Microsoft Windows Server Administration (OS Windows 2016, 2019, 2022) 4.Required active participation/contribution in team discussions.5.Manage and monitor production systems to ensure optimal performance.6.Maintain SLA.7.Implement and maintain system configurations.8.Inter and Intra team Collaborations for service delivery.9.Document operational processes and procedures for future reference. Professional & Technical Skills: Strong knowledge of Windows Clusters hosted on Public and Private cloud infrastructures. Strong skill to read cluster logs, diagnose and resolve problems related to cluster communication, storage access, and application failover. Understanding of storage technologies and how to configure shared storage for a cluster. Operational Knowledge of Public Cloud Technologies AWS / Azure / OCIMust Have Skills: Proficiency in Microsoft Windows Server Administration.Strong understanding of system administration principles.Experience with system monitoring and performance tuning.Knowledge of network protocols and security measures.Good To Have Skills: Experience with cloud platforms like Azure or AWS. Additional Information:The candidate should have a minimum of 3 years of experience in Microsoft Windows Server Administration.Team Player, Good Communication skills, Ability to multitask and adapt to shifting priorities, 24X7 A 15 year full-time education is required. Qualification 15 years full time education

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. Your typical day will involve addressing technical issues, collaborating with various teams, and ensuring that all configured services operate smoothly across different platforms. You will engage in both remote and onsite support, focusing on hardware and software solutions while adhering to established operating models and processes. Your role will also include troubleshooting at both basic and intermediate levels, ensuring that systems remain operational and efficient. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor system performance and implement improvements as necessary. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for SQL Server.- Familiarity with performance tuning and troubleshooting SQL queries.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Position Description Summary Job purpose Technical Lead of a larger team in the R&A COE team to work on various Data Science and Machine Learning projects. Specific Role Requirements Must have at least 4 years of deep experience in building descriptive/ predictive analytical solutions. Capability to clearly understand and articulate a data science problem and lead multiple projects with required support. Should have hands-on experience in handling various datasets and should be familiar with data science and machine learning techniques in R/Python. Deep learning experience is a plus. Should have hands-on experience on database using SQL. Should have knowledge on Data visualization tool like Power BI. Good to have experience in any AutoML tool. Good to have experience in GenAI. Good to have experience in Azure cloud. Client Responsibilities: Need to work as a senior team member who should be able to use their skills/experience to be hands on in rapidly identifying and developing data science solutions. Provide product and design level technical best practices Interface and communicate with the onsite coordinators Develop analytical strategies for business using model results of predictive modelling, time series forecasting, clustering, segmentation of customers etc Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: B Tech/Masters or Ph. D. degree in either Economics (econometrics) or Statistics or MBA (with strong quantitative background) or Bachelors in Engineering with strong quantitative background and adequate industry experience Should be at least around 5-6 years of experience in Analytics Should have understanding and experience of analytics best practices. Excellent business communication, Consulting, Quality process skills Must be a team player and team leader Your People Responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct reportees, as per the organization policies Foster teamwork and lead by example Training and mentoring of project resources Mentor the team in a specific area of specialization (stats modelling, machine learning, SAS/R/Python programming etc) Participating in the organization-wide people initiatives Additional Skills Requirements Experience in Insurance/ Banking/ Finance Prior Client facing skills Prior onsite experience is a plus Should have engaged in client interactions, participating in business workshops EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. Show more Show less

https://forms.office.com/r/JT9GG2968G Kindly fill the form. The profiles will be considered based only on the responses in the forms. Summary We are seeking a highly skilled and experienced DBA to join our expanding Information Technology team. In this role, you will help develop and design technology solutions that are scalable, relevant, and critical to our company’s success. You will join the team working on our new platform being built using MS SQL Server and MYSQL Server. You will participate in all phases of the development lifecycle, implementation, maintenance and support and must have a solid skill set, a desire to continue to grow as a Database Administrator, and a team-player mentality. Key Responsibilities 1. Primary responsibility will be the management of production databases servers, including security, deployment, maintenance and performance monitoring. 2. Setting up SQL Server replication, mirroring and high availability as would be required across hybrid environments. 3. Design and implementation of new installations, on Azure, AWS and cloud hosting with no specific DB services. 4. Deploy and maintain on premise installations of SQL Server on Linux/ MySQL installation. 5. Database security and protection against SQL injection, exploiting of intellectual property, etc., 6. To work with development teams assisting with data storage and query design/optimization where required. 7. Participate in the design and implementation of essential applications. 8. Demonstrate expertise and add valuable input throughout the development lifecycle. 9. Help design and implement scalable, lasting technology solutions. 10. Review current systems, suggesting updates as would be required. 11. Gather requirements from internal and external stakeholders. 12. Document procedures to setup and maintain a highly available SQL Server database on Azure cloud, on premise and Hybrid environments. 13. Test and debug new applications and updates 14. Resolve reported issues and reply to queries in a timely manner. 15. Remain up to date on all current best practices, trends, and industry developments. 17. Identify potential challenges and bottlenecks in order to address them proactively. Key Competencies/Skillsets SQL Server management on Hybrid environments (on premise and cloud, preferably, Azure, AWS) MySQL Backup, SQL Server Backup, Replication, Clustering, Log shipping experience on Linux/ Windows. Setting up, management and maintenance of SQL Server/ MySQL on Linux. Experience with database usage and management Experience in implementing Azure Hyperscale database Experience in Financial Services / E-Commerce / Payments industry preferred. Familiar with multi-tier, object-oriented, secure application design architecture Experience in cloud environments preferably Microsoft Azure on Database service tiers. Experience of PCI DSS a plus SQL development experience is a plus Linux experience is a plus Proficient in using issue tracking tools like Jira, etc. Proficient in using version control systems like Git, SVN etc. Strong understanding of web-based applications and technologies Sense of ownership and pride in your performance and its impact on company’s success Critical thinker and problem-solving skills Excellent communication skills and ability to communicate with client’s via different modes of communication email, phone, direct messaging, etc Preferred Education and Experience 1. Bachelor’s degree in computer science or related field 2. Minimum 3 years’ experience as SQL Server DBA and as MySQL DBA and 2 + years of experience as MySQL DBA including Replication, InnoDB Cluster, Upgrading and Patching. 3. Ubuntu Linux knowledge is perferred. 3. MCTS, MCITP, and/or MVP/ Azure DBA/MySQL certifications a plus Show more Show less

Experience: 6-9 Years Location: Noida/Pune/Chennai Notice Period: 0-15 Days Job Description: Collaborate with analysts and data architects to develop and test ETL pipelines using SQL and Python in Google BigQury. Perform related data quality checks and implement validation frameworks. Optimize BigQuery queries for performance and cost-efficiency Available for full-time engagement Technical Requirements SQL (Advanced level): Strong command of complex SQL logic, including window functions, CTEs, pivot/unpivot, and be proficient in stored procedure/SQL script development. Experience writing maintainable SQL for transformations. Python for ETL: Ability to write modular and reusable ETL logic using Python. Familiarity with JSON manipulation and API consumption. Google Big Query: Hands-on experience developing within the Big Query environment. Understanding of partitioning, clustering, and performance tuning. ETL Pipeline Development: Experienced in developing ETL/ELT pipelines, data profiling, validation, quality/health check, error handling, logging and notifications, etc. Nice-to-Have Skills: Experiences with Google Big Query platform. Knowledge of CI/CD practices for data workflows. Show more Show less

Technical Requirements SQL (Advanced level): Strong command of complex SQL logic, including window functions, CTEs, pivot/unpivot, and be proficient in stored procedure/SQL script development. Experience writing maintainable SQL for transformations. Python for ETL : Ability to write modular and reusable ETL logic using Python. Familiarity with JSON manipulation and API consumption. Google BigQuery : Hands-on experience developing within the BigQuery environment. Understanding of partitioning, clustering, and performance tuning. ETL Pipeline Development : Experienced in developing ETL/ELT pipelines, data profiling, validation, quality/health check, error handling, logging and notifications, etc. Nice-to-Have Skills: Experiences with Google BigQuery platform. Knowledge of CI/CD practices for data workflows. Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring 3-6 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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 federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, 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 federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Team Summary Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. In Asia Pacific (AP), VCA has geographically focused teams and the hub practice teams, which provides expertise in specific industry or functional verticals (Digital, Risk, Business Solutions, Acquiring & Merchant) What the Analyst Fraud Risk, Consulting & Analytics does at Visa: The VCA Risk Advisory Practice team is responsible for delivering Risk advisory services to Visa’s clients (Issuers, Acquirers and Merchants) across Credit Risk and Fraud Risk. The Analyst Fraud Risk will report to the Senior Manager Fraud Risk, India Hub within the VCA Risk Advisory Practice team and will contribute to the delivery of Fraud Risk advisory engagements. This individual will bring expertise in both the Fraud Risk functional domain and in risk analytics gained as Risk practitioner and/or a data scientist within a bank and/or a specialized consulting firm. We are looking for a motivated, analytically minded individual with a track record of using Risk expertise to unlock business value. Key responsibilities for the Analyst Fraud Risk: Contribute to the delivery of Fraud Risk Managed Services and advisory engagements across Asia Pacific Collaborating with the client’s team (both internal and external) to understand the business problem and desired business outcome End-to-end delivery of multiple Managed Services and advisory projects within timelines, scope and budget requirements Ensuring all project documentation is up to date and maintain the highest levels of quality in deliverables Support development of Fraud Risk data driven solutions (Authorization and Fraud Optimization, Fraud Risk Prediction/Scoring). Support the development and maintenance of consistency, standards and quality control of Fraud Risk consulting methodologies, ensuring world-class best practices and efficiency through economies of scale Participate to expand and optimize the Fraud Risk Managed Service offerings Why this is important to Visa With a rapid change in the payment landscape, new regulations around Open banking and Open data and the emergence of new Fintech players – the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose. Visa with its global reach and rich transaction data set is ideally positioned to assist merchants solve their strategic business problems and drive growth. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs. The candidate should be able to accommodate flexible working hours to catering to client and country time zones considering the roles Asia Pacific remit Projects you will be a part of: The nature of projects this role will play a key role in vary, this would include helping issuers and acquirers solve their most strategic business problems: Fraud Rule Optimization - On-behalf execution of fraud risk management for clients to optimize performance & enhance detections Fraud Authentication Rule Optimization - On-behalf execution for optimization and performance enhancement of authentication rule for clients Authorization Optimization - Define optimal authorization strategy with balanced risk control measures STIP Optimization - Define optimal STIP strategy with balanced risk control measures Fraud Risk Prediction/Scoring - Development of statistical models based on client data to predict the likelihood of fraud occurrence (adhoc) This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications 5 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications 5 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Specific skill set and experience required: Technical: Candidate with 5+ years of analytical experience in applying statistical solutions to business problems Graduate / Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/SQL/Python Proficiency in some of the following statistical techniques: Linear and Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis etc Experience in banking / consumer lending industry preferred Fair level of domain expertise in Fraud Risk preferred Hands on experience in fraud risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.) Demonstrated ability to innovate solutions to solve business problems Business: Self-motivated, results oriented individual with the ability to handle numerous projects concurrently Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor Ability to solve business problems through data driven quantitative methodologies Team player, collaborative, diplomatic, and flexible style. Complete team player, able to work across cultures, upholds and promotes highest ethical standards and mutual respect in the workplace Proven skills in translating analytics output to actionable recommendations. Experience in presenting ideas and analysis to stakeholders with the ability to tailor data driven results to various audience levels Detailed oriented, the candidate is expected to ensure highest level of quality/rigor in deliverables, reports & data analysis Exhibit intellectual curiosity and strive to continually learn Good communication, story-telling and presentation skills Additional information Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

About Data Axle: Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for 50 years in the US. Data Axle has set a strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA. Roles & Responsibilities: We are looking for a Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Creation and support of real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena. Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency. Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems. Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Requirements: 3-5 + years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Demonstrated strength in data modeling, ETL development, and data warehousing. Experience using big data processing technology using Spark. Knowledge of data management fundamentals and data storage principles. Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, Power BI etc.). Experience working with AWS big data technologies (Redshift, S3, EMR, Spark). Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience working with distributed systems as it pertains to data storage and computing. Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

Job Description As a Storage Engineer for KLDiscovery you will be responsible for coordinating installations, configuring, and maintaining storage systems that support our development, test, and production systems. You will have the opportunity to work in a Hitachi Vantara/Dell/Cisco/Brocade storage environment, and Quantum tape library/Commvault backup technologies. This is a position in a fast-paced global storage and backup environment. Responsibilities Work with in-house tools, backup software and hardware to perform operational archive, destruction, and restore tasks. Maintain archive throughput goals and meet customer SLAs on destruction and restore requests. Perform 1st and 2nd level backup and storage administration support. Triage the support requests and ensure the correct resources are allocated to resolve within the desired service levels. Perform problem resolution in an effective and timely manner in accordance with our SLA’s. Determine and resolve issues as required while working with internal IT teams and external support partners. Execute and maintain the operational procedures for all storage systems. Document results on the execution of the operational procedures. Recording the successful results of the procedures or initiating problem resolution practices when the results are not successful. Research, install, administer, and maintain distributed enterprise technology to ensure maximum availability of mission critical business systems, applications, and data. Meet/exceed established guidelines and business objectives regarding application and data availability. Informal guidelines dictate 99.9% application and data availability for the production infrastructure and user-base. Participate in multiple projects/tasks and follow LT (Legal Technology) - IT project/task procedures. Demonstrate time management and prioritization skills to accommodate dynamic business requirements while managing scheduled activities. Qualifications Bachelor’s degree or associate degree in IT related field; or an equivalent combination of education and experience. At least 4 years’ experience in the IT field and a desire to move into the Storage area. This position requires understanding of: SAN connectivity solutions and best practices. Block level storage technologies including RAID technologies and best practices. NAS technologies and best practices. Backup and restore fundamentals. Windows Server, clustering, and virtualization. Tape libraries, Commvault backups, and Cisco and Brocade fiber channel switches. This position requires the ability to: Work for extended periods of time at a PC or communications equipment. Focus on small details of a task and provide precise work and error-free execution. Read and comprehend technical documents as well as write legible and clear technical documentation. Assess, understand and analyze issues, user impact and troubleshoot. Perform effectively and constructively cope with the stresses inherent to 24x7 business support situations and support a 24x7 production environment. Understand, apply and adhere to all stated security-related practices. Maintain a high level of awareness related to security. Our Cultural Values Entrepreneurs At Heart, We Are a Customer First Team Sharing One Goal And One Vision. We Seek Team Members Who Are Humble - No one is above another; we all work together to meet our clients’ needs and we acknowledge our own weaknesses Hungry - We all are driven internally to be successful and to continually expand our contribution and impact Smart - We use emotional intelligence when working with one another and with clients Our culture shapes our actions, our products, and the relationships we forge with our customers. Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients. Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management. KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte’s Technology Fast 500). Additionally, KLDiscovery is an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers. KLDiscovery is an Equal Opportunity Employer. Show more Show less

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics 1. Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the effortsrequired to scaleand standardize the use of Data Scienceacross multiple ABI markets 2. KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous work experience required Minimum 3 years of relevant experience Technical skills required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Manufacturing Domain Product building experience Other Skills required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers Show more Show less

JOB ID - [URGENTLY REQUIRED] Senior BigQuery Developer (Google Cloud Platform) - Job Code 20250601/HYD/LNKD/FIS-YAHYA Job Title: Senior : BigQuery Developer (Google Cloud Platform) Experience : 5-8 Yrs Location: Hyderabad Job Type: Full-Time About the Role: We are seeking a highly skilled and experienced Senior BigQuery Developer with deep expertise in Google Cloud Platform (GCP). The ideal candidate will be responsible for designing, developing, and maintaining robust, scalable data pipelines and advanced analytics solutions using BigQuery and other GCP-native services. You will work closely with data scientists, analysts, and business stakeholders to ensure efficient and secure access to enterprise data. Key responsibilities for big query developer: Design, develop, and optimize BigQuery data warehouses and data marts to support analytical and business intelligence workloads. Implement data modeling and best practices for partitioning, clustering, and table design in BigQuery. Integrate BigQuery with tools such as Dataform, Airflow, Cloud Composer, or dbt for orchestration and version control. Ensure compliance with security, privacy, and governance policies related to cloud-based data solutions. Monitor and troubleshoot data pipelines and scheduled queries for accuracy and performance. Stay up-to-date with evolving BigQuery features and GCP best practices. Benefits You Will Get Competitive Salary Package Medical Insurance Exposure to numerous domains and projects You will have a chance for professional training and certifications, all company-sponsored Clear and defined career paths for you and professional development and exposure assured in all the latest technologies. Hiring/Selection Process 1 HR Interview followed by 1 Technical Interview About Company - FIS Clouds FIS Clouds (www.fisclouds.com) is an IT Services Company, fast emerging as a global leader in digital technology and transformation solutions for enterprises ranging from Monoliths to Hybrid and Cloud transformation. We operate on a global scale, with a diverse talent base, and have our global offices in India, the US, the UK, and Jakarta, Indonesia. We at FIS Clouds strongly believe in Agility, Speed, and Quality which can be found in the DNA of our company. We apply constant innovation to solve customer challenges and increase business outcomes. FIS brings extensive experience in Cloud Technologies including, Public Cloud, Private Cloud, Multi-Cloud, Hybrid Cloud, and DevOps and Java. Additionally, FIS has a lot of experience in Data Analytics and Cloud Automation. Note: The package is no bar for the desired candidate. Earn your desired package by proving yourself. Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience Your Role And Responsibilities Your Role and Responsibilities : As a Network Security Engineer, you are expected to work on Networking products or solutions based on any vendor hardware /vendor operating system software (i.e Vendor agnostic) with little or minimum support including skills like Routers/Switches/ Load balancer. Responsibilities Your role would also involve deploying, managing and implementing networking solutions to address client business requirements. You will need to visit the domestic client's offices / data centres on a daily basis or on an as-needed basis as part of this role.Responsibilities: Assist in troubleshooting and problem solving a wide variety of client IT security related issues (Cisco FTD/Palo Alto/Checkpoint/Fortinet/Azure firewalls, IDS/IPS, VPN, proxy, Bluecoat/Forcepoint/Zscalar Web filtering). Mentor Tier 1 staff on event handling & response Manage day to day firewall operations, implementing firewall rule requests, configuration changes. Continually improve upon skills and ability to learn new technologies Incorporate and follow all change management processes and procedures as outlined by the customer. Participate in security and vulnerability risk assessments of the enterprise firewall environment. Contribute to L2/L3 SOPs/Runbook/KEDB in keeping process & documentation up to date. Contribute to request/incident/change management improvement process Ready to learn new technologies through internal trainings Prove communication skills Incorporate and follow all change management processes and procedures as outlined by the customer. Participate in security and vulnerability risk assessments of the enterprise firewall environment. Ready to work on 24/7 shifts to support client requirement. Preferred Education Master's Degree Required Technical And Professional Expertise Min 7-8 years of industry experience as a Network Security engineering on Design, Implementation and troubleshooting Firewall, load balancers, WAF Hands-on Experience handling at least 3 Firewall products (PaloAlto, FortiGate, Checkpoint, Cisco, Juniper, Sonicwall etc.) and Hands on experience with Proxy solutions(Forcepoint, Zscaler etc), IDS/IPS, WAF Assist in troubleshooting and problem solving a wide variety of client IT security related issues (Cisco FTD/Palo Alto/ firewalls, IDS/IPS, VPN, proxy, Bluecoat/Forcepoint/Zscalar Web filtering). Experience on firewall rules and data flow traffic in firewalls. Experience in performing /documenting RCA for major security incidents related to network security products Must have experience interacting with OEMs to fix product/technology related issue Experience on clustering and high availability. Experience in configuration and implementation of VPN across various vendor perimeter devices. Experience in routing technologies. Skilled in analysing and monitoring network security solutions. Should possess core understanding of web filtering gateways like BlueCoat, Zscaler or PaloAlto. Preferred Technical And Professional Experience You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Show more Show less

Data Scientist @ DevOn The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You have at least 3 years of experience as a Data Scientist. Responsibilities 🚀 We are Hiring – Data Scientists (Immediate to 15 Days Joiners) Are you passionate about building models that make a real-world impact? At DevOn , you’ll: 🔹 Work on real-world classification & regression problems 🔹 Build models using XGBoost, LightGBM, Random Forest 🔹 Perform feature engineering , scaling , handle missing data & outliers 🔹 Apply model evaluation techniques – PR Curve, F1, Cross-validation, R² 🔹 Tune hyperparameters and deploy using CI/CD, Docker, AWS 🔹 Collaborate with engineers and analysts to take models to production 🔹 Document experiments, build reproducible pipelines, and present insights Your profile: ✔ Strong hands-on experience in ML model development end-to-end ✔ Solid understanding of model performance metrics and tuning ✔ Expertise in Python, SQL, GitHub, Jupyter, TensorFlow/PyTorch ✔ Knowledge of bias-variance tradeoff , bagging vs boosting , IQR, etc. ✔ Experience with cloud platforms (AWS preferred) ✔ Bonus: A/B testing or causal inference exposure 📩 Send your resume to: TA-IN-Consulting@devon.nl 📅 Looking for immediate joiners or max 15 days Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 3-years of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python & SQL) Show more Show less

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Lead Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 6+ years in machine learning, 4+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING Show more Show less

Position: Senior Database Administrator Position Overview As a Senior Database Administrator (DBA) at Intelex Technologies, you will play a critical role in managing and optimizing our MS SQL Server, Oracle, and PostgreSQL database environments. You will be responsible for the design, implementation, performance tuning, high availability, and security of our database infrastructure across cloud and on-premises deployments. Working within the DevOps & DataOps team , you will collaborate with developers, cloud engineers, and SREs to ensure seamless database operations supporting our mission-critical applications. Responsibilities And Deliverables Database Administration & Architecture Design, implement, and optimize databases across MS SQL Server, Oracle, and PostgreSQL environments. Participate in architecture/design reviews, ensuring database structures align with application needs and performance goals. Define and maintain best practices for schema design, indexing strategies, and query optimization. Performance Tuning & Scalability Conduct proactive query tuning, execution plan analysis, and indexing strategies to optimize database performance. Monitor, troubleshoot, and resolve performance bottlenecks across MS SQL Server, Oracle, and PostgreSQL. Implement partitioning, replication, and caching to improve data access and efficiency. High Availability, Replication & Disaster Recovery Design and implement HA/DR solutions for all supported databases, including MS Clustering, Oracle Data Guard, PostgreSQL Streaming Replication, and Always On Availability Groups. Perform capacity planning and ensure proper backup and recovery strategies are in place. Automate and test failover and recovery processes to minimize downtime. Security & Compliance Implement role-based access control (RBAC), encryption, auditing, and compliance policies across all database environments. Ensure adherence to SOC 2, ISO 27001, GDPR, and HIPAA security standards. Collaborate with security teams to identify and mitigate vulnerabilities. DevOps, CI/CD, & Automation Integrate database changes into CI/CD pipelines, ensuring automated schema migrations and rollbacks. Use Terraform or other IaC tools for database provisioning and configuration management. Automate routine maintenance tasks, monitoring, and alerting using New Relic and PagerDuty or similar. Cloud & Data Technologies Manage cloud-based database solutions such as Azure SQL, Amazon RDS, Aurora, Oracle Cloud, and PostgreSQL on AWS/Azure. Work with NoSQL solutions like MongoDB when needed. Support data warehousing and analytics solutions (e.g., Snowflake, Redshift, SSAS). Incident Response & On-Call Support Provide on-call support for database-related production incidents on a rotational basis. Conduct root cause analysis and implement long-term fixes for database-related issues. Organizational Alignment This is a highly collaborative role requiring close interactions with: DevOps & SRE teams to improve database scalability and monitoring. Developers to ensure efficient database designs and optimize queries. Cloud & Security teams to maintain compliance and security best practices. Qualifications & Skills Required 8+ years of experience managing MS SQL Server, Oracle, and PostgreSQL in enterprise environments. Expertise in database performance tuning, query optimization, and execution plan analysis. Strong experience with replication, clustering, and high-availability configurations. Hands-on experience with cloud databases in AWS or Azure (RDS, Azure SQL, Oracle Cloud, etc.). Solid experience with backup strategies, disaster recovery planning, and failover testing. Proficiency in T-SQL, PL/SQL, and PostgreSQL SQL scripting. Experience automating database tasks using PowerShell, Python, or Bash. Preferred Experience with containerized database deployments like Docker, or K8s. Knowledge of Kafka, AMQP, or event-driven architectures for handling high-volume transactions. Familiarity with Oracle Data Guard, GoldenGate, PostgreSQL Logical Replication, and Always On Availability Groups. Experience working in DevOps/SRE environments with CI/CD for database deployments. Exposure to big data technologies and analytical platforms. Certifications such as Oracle DBA Certified Professional, Microsoft Certified: Azure Database Administrator Associate, or AWS Certified Database – Specialty. Education & Other Requirements Bachelor's or Master's degree in Computer Science, Data Engineering, or equivalent experience. This role requires a satisfactory Criminal Background Check and Public Safety Verification. Why Join Intelex Technologies? Work with cutting-edge database technologies in a fast-paced, DevOps-driven environment. Make an impact by supporting critical EHS applications that improve workplace safety. Flexible remote work options and opportunities for professional growth. Collaborate with top-tier cloud, DevOps, and security experts to drive innovation. Fortive Corporation Overview Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth. About Intelex Since 1992, Intelex Technologies, ULC. is a global leader in the development and support of software solutions for Environment, Health, Safety and Quality (EHSQ) programs. Our scalable, web-based software provides clients with unprecedented flexibility in managing, tracking and reporting on essential corporate information. Intelex software easily integrates with common ERP systems like SAP and PeopleSoft creating a seamless solution for enterprise-wide information management. Intelex’s friendly, knowledgeable staff ensures our almost 1400 clients and over 3.5 million users from companies across the globe get the most out of our groundbreaking, user-friendly software solutions. Visit www.intelex.com to learn more. We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com. Since 1992, Intelex Technologies, ULC. is a global leader in the development and support of software solutions for Environment, Health, Safety and Quality (EHSQ) programs. Our scalable, web-based software provides clients with unprecedented flexibility in managing, tracking and reporting on essential corporate information. Intelex software easily integrates with common ERP systems like SAP and PeopleSoft creating a seamless solution for enterprise-wide information management. Intelex’s friendly, knowledgeable staff ensures our almost 1400 clients and over 3.5 million users from companies across the globe get the most out of our groundbreaking, user-friendly software solutions. Visit www.intelex.com to learn more. We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com. Show more Show less

Designation: Sr. Data Scientist Experience: 4–8 Years Job Type: Full-time We are seeking a highly skilled and motivated Senior Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Design and implement RAG pipelines using LangChain and LangGraph. Integrate AWS Open Source Vector Databases (e.g., OpenSearch with KNN plugin). Handle complex query chaining, prompt orchestration. Work with graph-based knowledge representations (e.g., Neo4j, Stardog). Collaborate with teams to deliver scalable GenAI solutions. Required Skills: Proficiency in LLMs, LangChain, and embeddings. Strong background in classification, regression, clustering, and NLP. Knowledge of AWS and DevOps (Docker, Git). Hands-on with FastAPI, model deployment workflows. Show more Show less

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Senior Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 3+ years in machine learning, 2+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities - Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. - Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. -AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. - Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. -Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. -Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. -Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING Show more Show less