1436 Clustering Jobs - Page 48

Role & responsibilities * Work closely with the data engineering team to validate data pipelines and ETL processes for data ingestion into Resulticks CDP. * Ensure data deduplication and cleansed data for effective analysis * Analyse customer behaviours, segmentation, and engagement trends based on campaigns done on Resulticks * Identify segments / cohorts for optimised targeting based on CDP data * Identify customer interaction patterns, correlations for optimised targeting and campaign performance * Create hypothesis and test it as part of customer engagement * Understanding of data distribution Preferred candidate profile 1. 5+ years of experience in Martech customer data analysis 2. Strong statistical & analytical skills (hypothesis testing, regression, clustering) 3. Proficiency in SQL, Python, and R for data analysis and manipulation Perks and benefits PF,Gratuity,Medical Insurance

Dr care is immediately hiring for Cluster Manager-Health Care Industry Kindly find the below job description and interested candidates can send your CV's to praveen.hrr@drcarehospitals.com. Openings for Cluster Manager- Exp: 6+ Years Hiring Location: 1. Hyderabad, Telangana. 2.Vijayawada, AP. salary: 5LPA-9.5LPA, SLIGHT NEGOTIABLE, INCENTIVES Notice: Immediate Joiner Mode of Working: Work from Office Company Description: Dr. Care Homeopathy, founded by Dr. A.M. Reddy . leading chain of Homeopathy and Dental clinics across India. With a strong reputation and high success rate in treatments, Dr. Care Homeopathy Group is committed to providing quality healthcare services to patient. Job Description: a Cluster Manager focused on operations and revenue plays a critical role in ensuring that healthcare services run smoothly while optimizing the financial performance of the organization. The Cluster Manager is typically responsible for overseeing multiple healthcare units or facilities, ensuring efficient operations, and driving revenue growth. Heres an outline of the key responsibilities and skills associated with the role of a Cluster Manager - Operations and Revenue in the healthcare sector: 1. Operations Management: Overseeing Daily Operations: Manage the day-to-day operations of multiple healthcare facilities, ensuring that all activities are aligned with organizational goals and compliant with healthcare regulations. Staff Management and Coordination: Supervise and coordinate with department heads, medical staff, and administrative teams to ensure efficient functioning and high-quality patient care. Process Optimization: Streamline processes and workflows to enhance productivity and reduce inefficiencies, ensuring smooth operations across multiple units. Compliance: Ensure adherence to healthcare regulations, industry standards, and internal protocols related to patient care, safety, and privacy (e.g., HIPAA in the U.S.). 2. Revenue Generation and Financial Oversight: Revenue Cycle Management: Supervise the revenue cycle from patient registration to final payment, including billing, coding, insurance claims, and collections. Ensure that all financial operations are accurate and efficient. Budgeting and Cost Control: Develop and manage budgets for each facility or department within the cluster. Track expenses, implement cost-saving strategies, and ensure the financial sustainability of the facilities. Pricing Strategies: Work on developing and optimizing pricing models, including service fees and insurance negotiations, to maximize revenue without compromising patient satisfaction. Revenue Growth Initiatives: Identify new business opportunities, expand service offerings, and enhance partnerships with insurance companies or other stakeholders to increase revenue. Financial Reporting: Regularly analyze financial reports and key performance indicators (KPIs), identifying trends and areas for improvement. Provide actionable insights to senior management to drive decision-making. 3. Strategic Planning and Development: Strategic Alignment: Ensure that the operational strategies align with the broader organizational objectives, especially around growth, profitability, and patient care excellence. Performance Metrics: Establish and monitor key performance indicators (KPIs) related to operational efficiency, patient satisfaction, and financial health. Market Analysis: Stay updated on market trends, patient needs, and competitor activities, using this information to shape business strategies and revenue-generating initiatives. 4. Collaboration and Communication: Cross-Departmental Coordination: Work closely with HR, marketing, finance, and medical departments to achieve unified operational and financial goals. Stakeholder Management: Engage with external partners like insurance providers, government agencies, and healthcare suppliers to optimize service delivery and revenue. 5. Patient Experience and Satisfaction: Service Quality and Patient Satisfaction: Monitor patient satisfaction levels and ensure that high-quality care is being provided across all facilities. Resolve patient complaints and improve service delivery to retain and attract patients. Patient Retention Strategies: Develop programs aimed at improving patient retention rates and encouraging repeat visits, ultimately driving more revenue. Skills Required: Leadership and Team Management: Ability to lead and manage multiple teams across different facilities while fostering collaboration and a positive workplace culture. Analytical Skills: Strong ability to analyze data, financial reports, and performance metrics to make informed decisions. Financial Acumen: Understanding of healthcare financials, including budgeting, revenue cycle management, and cost control measures. Problem-Solving: Ability to identify operational and financial challenges and develop effective solutions. Interested individual can share their updated resume to 7337550168(What's App) Regards PRAVEEN- HR DR CARE HOMEOPATHY/TOOT DENTAL 7337550168

Project Role :Application Tech Support Practitioner Project Role Description :Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills :Microsoft SQL Server Database Administration Good to have skills :Microsoft SQL Server

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Microsoft SQL Server Database Administration Good to have skills : Oracle Applications DBA Minimum 3 year(s) of experience is required Educational Qualification : Bachelor's degree Summary :As an Application Tech Support Practitioner, you will be responsible for providing ongoing support to clients and ensuring the smooth functioning of systems and applications. Your typical day will involve interfacing with clients, accurately defining and resolving issues, and utilizing your deep product knowledge to design effective solutions. Roles & Responsibilities: Provide ongoing support to clients, acting as the interface between the client and the system or application. Accurately define client issues and interpret and design resolutions based on deep product knowledge. Ensure the smooth functioning of systems and applications, utilizing exceptional communication skills to keep world-class systems running. Collaborate with cross-functional teams to deliver high-quality support and solutions to clients. Professional & Technical Skills: Must To Have Skills:Experience in Microsoft SQL Server Database Administration. Good To Have Skills:Experience in Oracle Applications DBA. Strong understanding of database administration and management. Experience in designing and implementing database solutions. Experience in troubleshooting and resolving database issues. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft SQL Server Database Administration. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Hyderabad office. Qualifications Bachelor's degree

Skill required: Data Scientist - Data Science Designation: Specialist Qualifications: Any Graduation Years of Experience: 7 - 11 Years What would you do? You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited to: Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domains:CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

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 : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As a Databricks Unified Data Analytics Platform Application Lead, you will be responsible for leading the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve working with the Databricks Unified Data Analytics Platform, collaborating with cross-functional teams, and ensuring the successful delivery of applications. Roles & Responsibilities: Lead the design, development, and deployment of applications using the Databricks Unified Data Analytics Platform. Act as the primary point of contact for all application-related activities, collaborating with cross-functional teams to ensure successful delivery. Provide technical leadership and guidance to team members, ensuring adherence to best practices and standards. Develop and maintain project plans, schedules, and budgets, ensuring timely delivery of high-quality applications. Stay updated with the latest advancements in the Databricks Unified Data Analytics Platform, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Strong experience with the Databricks Unified Data Analytics Platform. Must To Have Skills:Experience in leading the design, development, and deployment of applications. Good To Have Skills:Experience with other big data technologies such as Hadoop, Spark, and Kafka. Good To Have Skills:Strong understanding of software engineering principles and best practices. Good To Have Skills:Experience with Agile development methodologies. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in the Databricks Unified Data Analytics Platform. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Chennai office. Qualifications BE

Project Role : Database Administrator Project Role Description : Administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) and provide input for modification of procedures and documentation used for problem resolution and day-to-day maintenance. Must have skills : Microsoft SQL Server Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Roles and Responsibilities:1. As a Database Administrator, you will administer, develop, test, or demonstrate databases. 2. You will perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. 3. Your typical day will involve installing database management systems (DBMS) and providing input for modification of procedures and documentation used for problem resolution and day-to-day maintenance.4. Always on, Cluster, mirroring, Performance tunning, Backup and recovery Professional & Technical Skills:1. Failover Cluster, Availability Group and Replication, Patching, upgradation, and Migration of SQL Server instances2. Backup and database recovery process. 3. SQL Server Best practice, performance optimization and tuning.4. Adaptable / Flexible, Open for shifts and 24*7 Support5. Open to work in night shifts, Ability to work independently when required, Flexible in week offs. Additional Information:1. The candidate should have a minimum of 5 to 8 years of experience in Microsoft SQL Database Administration.2. This position is based at our Gurugram office.3. 15 years full time education is required. Qualifications 15 years full time education

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. About the Role: We are seeking a Business Data Analyst with Product Mindset who is passionate about the potential of conversational AI to enhance customer experiences and drive business outcomes. You will be part of the team to do analytics and insights for state-of-the-art AI-driven chat and voice solutions that resonate with our user base, align with business objectives, and set the benchmark in the telecom industry. What youll be doing... 1. Data Analysis: Extract, clean, and analyze large datasets related to customer and agent interactions with conversational AI channels, identifying trends, patterns, and insights. Also contribute to informed product decisions, ensuring alignment with market trends and user behavior. 2. Collaboration: Work closely with product, engineering, and AI teams to define data requirements, understand AI model outputs, and provide actionable insights. 3. Performance Metrics: Develop and track key performance metrics for our conversational AI tools to gauge effectiveness and areas for improvement. 4. Stakeholder Communication: Present findings and insights to non-technical stakeholders, influencing decision-making processes. 5. Continuous Learning: Stay updated with the latest trends and advancements in the conversational AI and telecom sectors. 6. Customer Journey Mapping: Understand and analyze the customer journey, identifying touchpoints where conversational AI can enhance the user experience. 7. Recommendation Systems: Collaborate on enhancing AI models, using insights from data to improve response accuracy and user satisfaction. 8. Data Visualization: Create intuitive visualizations and dashboards for both technical and non-technical audiences. 9. Quality Assurance: Ensure the integrity, accuracy, and relevance of data sources and analytical outputs. Youll need to have: - Bachelors degree in Business, Computer Science, Data Science, Statistics, or a related field. - 4 or more years of experience in data analytics, preferably within the telecom or AI industry. - Use case development knowledge. - Experience working with analytics tools/platforms such as Python, R, SQL, Excel, SAS/SPSS etc and relevant data visualization tools. - Experience analyzing large datasets with strong analytical skills with an ability to discern business trends. - Experience summarizing and visualizing analysis outputs. - Excellent communication skills, both written and verbal. - A positive attitude, reliability, and a strong eagerness to learn and upskill - Proactive approach to problem-solving and user experience enhancement. - Strong understanding of the telecom industry, conversational AI platforms, and their respective challenges. - Ability to work in a fast-paced, collaborative environment. Even better if you have: - Experience in the telecom industry, e-commerce, or customer support domains. - Proactive approach to problem-solving and user experience enhancement. - Demonstrable knowledge of Chatbot Flow Guidelines & Principles. -Masters degree in Computer Science or relevant. - Knowledge of industry wide best practices when it comes to customer experience. - Ability to give constructive criticism and challenge co-workers to think at their best. - Comprehensive understanding of AI/ML technologies and their applications in conversational platforms. - Experience working with statistical/data mining concepts and techniques. - Experience managing stakeholders and driving projects/use-cases to completion. - Experience with clustering/segmentation, Incremental analysis, cohort analysis. - Previous consulting experience or professional services environment experience. - Proven ability to communicate effectively at multiple levels: from team members to executive management - Proven ability to negotiate and motivate others. - Problem solving skills, self-motivation, leadership, and team orientation. Analytic, technical, and organizational skills. Why Verizon? Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice. We are a pay for performance company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program. Your benefits are market competitive and delivered by some of the best providers. You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions. We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*. Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research. You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment. Your benefits package will vary depending on the country in which you work. *subject to business approval

Skill required: Insurance Services - Group Life Insurance Designation: Measurement & Report Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? As a part of client reporting and insights, you would require to do Power Bi based Reporting for different Operational Purposes. MIS reporting by using MS Excel and VBA (macro) at Operational. Ad hoc automation for different Operational requirements. Creating and modifying SQL queries as per requirements based on client and operational use. Performance reporting Data and Trend Analysis to correlate process performance. Supporting Operations team in different types of data analysis with the help of SQL and Power Bi. Creating salesforce reports for client and operational uses.Drive performance improvements through automation. Perform data analysis for generating reports on periodic basis. Analyze business information to identify process improvements for increasing business efficiency and effectiveness. Participate in cross functional meetings to resolve recurring customer issues. What are we looking for? Microsoft Excel Microsoft Excel Functions Microsoft Excel Macros Microsoft Excel VBA Programming Microsoft SQL Server Analysis Services (SSAS) Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

The role involves hands-on experience with Oracle and PostgreSQL database administration. Key responsibilities include installing, configuring, and managing Oracle servers, setting up backup and recovery processes to meet RPO and RTO objectives, handling high-priority incident escalations, and performing database performance tuning. The candidate will also support database clustering, log shipping, mirroring, and replication. Proficiency in Oracle licensing policy, RAC architecture, ASM, and documentation of the database environment is required. Additionally, the role demands advisory on database design, T-SQL query optimization, and handling patch management to maintain an up-to-date inventory.

Mandatory Skills: Open shift , Redhat core , Container Admin, Jenkin, OCP cluster, Reddies 1- Kibana and Grafana visualization tools knowledge, OCP cluster and On frame Openshift technology, Master Component 2- CICD Pipline / Deployment code , Node Component RedHat Core experience. 3- Red Hat OS knowledge 4- Dynatrace or other monitoring tool knowledge OpenShift Support Red hat core , Container Admin, Jenkin, OCP cluster, Reddies Strong hands-on experience on Open shift , Red hat core , Container Admin, Jenkin, OCP cluster, Reddies 1- Kibana and Grafana visualization tools knowledge, OCP cluster and on frame OpenShift technology, Master Component 2- CICD Pipeline / Deployment code , Node Component RedHat Core experience. 3- Red Hat OS knowledge 4- Dynatrace or other monitoring tool knowledge

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. 12+ years hands-on experience of different PnR steps including Floorplanning, Power planning, Placement & Optimization, CTS, Routing, Static timing analysis, Post route optimization, ECO implementation and DRC closure Well versed with high frequency design & advanced tech node implementations In depth understanding of PG-Grid optimization, including identification of high vs low current density paths & layer/via optimization, Adaptive PDN experience In depth knowledge of custom clock tree including H-tree, SPINE, Multi-point CTS, Clock metrics optimization through tuning of CTS implementation. Well versed with tackling high placement density/congestion bottlenecks In depth knowledge of PnR tool knobs/recipes for PPA optimization Experience in automation using Perl/Python and tcl Good communication skills and ability & desire to work in a cross-site cross-functional team environment. Education Requirements Required:Bachelor's, Electrical Engineering or equivalent experience Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills

Key Responsibilities: • Plan, develop, test, and deploy our automation platform, primarily written in Python, to provide our services to companys employees in APAC and Europe • Discuss new requirements with experts on the customer side and drive their implementation. • Support the design and implementation of Fileservice components according to the architecture roadmap. • Collaborate with expert teams in Workplace Services for the exchange of best practices and process management training. • Activities include • Be a DevOps team member and overall management of operation/project activities in the area of File services team. • Identify and contribute more on Automating day to day activities and tasks using PowerShell / Python scripts • Maintaining / enhancing of existing scripts and use of GIT to store them • SQL database administration and maintenance • Administer and manage the O365 and Azure Netapp Filers • Stabilize the Infrastructure by proactive monitoring and foreseeing the upcoming infrastructure requirements • Migration of data from on premise to cloud and vice versa • Involve project activities and work with engineering team • Incident /Problem/Change Handling using SNOW. • Contributing to the process of improvement/innovation . • Contribute to ISMS process and procedures. • Reporting and Documentations for the process /PLMs as and when required. Qualification & Experience • Combined minimum of 9 years higher education and/or work experience in systems design, management and/or architecture • Background: Completed degree in computer science or a comparable qualification • Knowledge in Python Coding • Knowledge in working with Kubernetes is a plus, but not mandatory • Advanced knowledge in working with Microsoft Azure • Knowledge in automated testing. • Basic knowledge in working with CI/CD pipelines • Knowledge in working with SQL • Basic knowledge in technologies like Windows Server, Filesystems (DFS-R, DFS-N)

Proficiency in Microsoft SQL Server (2016, 2017, 2019). Experience with database performance tuning and optimization (PTO). Knowledge of SQL Server security best practices. Familiarity with backup and recovery strategies. Experience with high availability (HA) and disaster recovery (DR) options for SQL Server. Strong understanding of SQL and T-SQL scripting. Experience with database monitoring tools (e.g., SQL Sentry, Redgate, SolarWinds). Knowledge of cloud-based databases, especially Azure SQL Database, is a plus.

Key Responsibilities: Content Planning and Creation: o Develop and execute a comprehensive content strategy for Instagram and Facebook. o Create engaging, high-quality beauty content including posts, stories, videos, and reels. o Collaborate with influencers, beauty experts, and internal teams to generate diverse content. Campaign Management: o Plan and execute social media campaigns to promote new product launches, sales, and special events. o Work with the marketing team to integrate social media campaigns with broader marketing initiatives. o Track and analyze the performance of campaigns, providing insights and recommendations for improvement. Digital Marketing: Boosting & Performance Marketing o Utilize digital marketing strategies to enhance content reach and engagement. o Implement basic boosting and performance marketing techniques to amplify key posts. o Optimize content based on performance metrics and audience feedback. Data and Reporting: o Track, analyze, and report on key performance indicators (KPIs) for Instagram and Facebook. o Provide regular reports on content performance, audience growth, and engagement metrics. o Use data-driven insights to refine content strategies and improve overall performance.

Details on the opening: Database Test and Tools Development team is looking for bright and talented engineers from top tier institutes to apply their ingenuity to test Oracles flagship product. It is an opportunity to demonstrate your skills as a Test Development Engineer for Oracles cloud enabled platforms by developing cloud enabled tests for various features in Database, Cloud services and Engineered systems. We need to develop tools/ framework and test applications/scripts and automate the test setup needed for the features of Oracle Kernel code we are testing and often would need to simulate functionality in a regular Linux machine to run functional tests. Please note that this is a programming position as all the tests/frameworks are applications which should exercise a feature in the yet to be released version of Oracle product. These test programs runs fully automated on a server farm - so our test framework need to configure, run test applications/inject failures, and verify results by itself. Even though some generic utilities are available, most of the features would need very specific test programs/frameworks. The opening is for an individual contributor position in Database test and tools development team. In this position, you will be working very closely with the feature development team to create a test plan/tools/infrastructure needed for the feature. You will also be reviewing the feature specifications (Functional Design spec) before it is finalized as your inputs from a customer perspective might be important in the implementation. Our primary development platform is Linux, and depending on the area you work on the coding would involve Perl, Python or C to develop test programs. The challenge and the advantage is in understanding the technology and apply it in a practical setup. What you gain: - Exposure to cutting edge technologies/products in database/cloud space - Work with core team of people from top colleges to build best in class Database products. - Deep dive into Database/Cluster/Cloud services domains. - Exposure to Open source technologies Docker, Jira, Kafka, ML. The group: Database test tools development group (part of the database server group of Server Technologies Division) works on the upcoming releases of Oracle database server, enveloping a wide range of technologies. My team works on test development for features like, Filesystems, Database In-memory, Space/Transaction management, Clustering, Backup/Recovery, Distributed database(Sharding), Storage technologies, Oracle Exadata and Oracle Database Appliance . The group with its state of the art development infrastructure and practices, helps shape technology that has been important for a large number of Fortune 2000 and other companies. The group foresees product usage scenarios, simulates real life problems, tests the forthcoming releases of Oracle database server and ensures that the customers get the highest quality database. Requirement: - B.Tech/M.Tech C.S. from a premier institution. - Candidates with good relational database fundamentals. - Web applications and desktop applications QA : Experience in Oracle DB, SQL. - Exposure to latest Oracle database features is desirable - Must have excellent hands on experience in test design, development and execution. - Experience in web automation using Selenium tools or other open source tools in PC or Mobile platform is required. - Product development QA, Product integration QA / automation web applications QA background. - Experience in using and configuration of RESTful Services and configuration of Oracle DB. - Excellent quality work, results oriented, Independent/Personal Drive, Good troubleshooting skills required. - Excellent communication (written and verbal), interpersonal and good team player. - Ability and enthusiasm to learn new technologies, adeptness in seeking solutions to complex problems. Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience. As part of the Server Technologies, you will work together with the team members in the US headquarter and India Development Center (IDC) to design, develop and maintain a top grade software test system, which are being used by hundreds of thousands of users worldwide. You will have the opportunity to explore the latest technologies in Java, JDBC and the latest version of the Oracle databases, including our various cloud offerings. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Job Purpose "This position is open with Bajaj Finance ltd." Duties and Responsibilities Duties and Responsibilities: Responsible for providing various data cuts for loss modeling Building framework to continuously assess and evaluate data management / system capabilities to eliminate operational loss. Publishing mid-month bounce analysis and summary and trends Data Collection from various sources (Datamart, EDW, etc.) Proficient in data extraction & understanding of various tools Tracking and Maintaining Key MIS's for decision making and proactive actions Proficiency in using various data analysis tools such as SQL, SAS, CHAID, etc. Assisting in formulation of Standard Operating Procedures. Continuous review and remedial of high-risk processes Required Qualifications and Experience: 2+ years of experience with SQL/SAS and other technical tools Effective analytical, data management and presentation skills. Experience with large data handling and quantitative analysis Required Qualifications and Experience Duties and Responsibilities: Responsible for providing various data cuts for loss modeling Building framework to continuously assess and evaluate data management / system capabilities to eliminate operational loss. Publishing mid-month bounce analysis and summary and trends Data Collection from various sources (Datamart, EDW, etc.) Proficient in data extraction & understanding of various tools Tracking and Maintaining Key MIS's for decision making and proactive actions Proficiency in using various data analysis tools such as SQL, SAS, CHAID, etc. Assisting in formulation of Standard Operating Procedures. Continuous review and remedial of high-risk processes Required Qualifications and Experience: 2+ years of experience with SQL/SAS and other technical tools Effective analytical, data management and presentation skills. Experience with large data handling and quantitative analysis

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties and Responsibilities ƒ˜Build Stress Testing Framework and execute the same ƒ˜Develop, validate, and execute Stress Testing Tools and Stress Testing Engine ƒ˜Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines ƒ˜Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses ƒ˜Support any adhoc deep dive data analysis on portfolio metrices ƒ˜Support in Data analysis and segmentations. ƒ˜Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design -Algorithms that should be used in model building -Business interpretation of statistical models -Model Monitoring results and its interpretation Major Challenges Updated on new statistical modeling methods -Writing efficient SQL and Python queries -Incorporate the regulatory changes, as and when announced -Liasing with IT and other teams to get models implemented in the systems Required Qualifications and Experience Qualifications B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages:SAS, SQL, R, Python. Classical statistical techniques:Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills