1575 Predictive Modeling Jobs - Page 3

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Roles and Responsibilities : Develop predictive models using machine learning algorithms to drive business outcomes in the banking industry. Collaborate with cross-functional teams to design and implement data-driven solutions for marketing campaigns, customer segmentation, and portfolio management. Analyze large datasets to identify trends, patterns, and correlations that inform strategic decision-making across various business units. Design and maintain complex statistical models using Python programming language. Job Requirements : 7-15 years of experience in data science or a related field with expertise in artificial intelligence, deep learning, generative AI, natural language processing (NLP), predictive modeling, statistical modeling. Strong background in machine learning techniques such as supervised/unsupervised methods including regression analysis. Experience working with big data technologies like Hadoop/Hive/Pig; proficiency in SQL is required.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Pune Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

About The Role 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 : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : NAMinimum 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 that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are functioning optimally and meeting the needs of stakeholders. Your role will require you to balance technical expertise with effective communication, ensuring that all team members are aligned and informed throughout the project lifecycle. Roles & Responsibilities:- Proven work experience as a PL/SQL Developer- Hands-on experience with Oracle PL/SQL programming- Knowledge of performance tuning and optimization techniques- Familiarity with database design, normalization principles, and data modeling- Strong problem-solving skills and attention to detail- 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 project progress and ensure adherence to timelines and quality standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of database design and optimization techniques.- Experience with application development methodologies and best practices.- Familiarity with performance tuning and troubleshooting of SQL queries.- Ability to work with cross-functional teams to deliver integrated solutions. Additional Information:- The candidate should have minimum 5 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Job Title - Business Resilience and Analytics CL 11 (Business Resilience Analyst, Entity - Corporate Services & Sustainability Management Level:11 Business Resilience Analyst Location:Bangalore Must have skills: Analytics and visualizations support Good to have skills: Business Resilience Experience: Minimum 2 year(s) of experience is required Educational Qualification: Graduation JOB SUMMARY This role will be a part of Business Resilience Services (BRS) Team. It supports the Business Continuity Management (BCM) program across business and functions as per the organizations BCM policy and methodology by assisting in developing system enhancement workflows, analytics support and visualizations using latest software methodologies. KEY RESPONSIBILITIES Align with the business resilience program and provide expertise on strengthening the program by application of latest analytics and visualization methods Transform the existing data visualizations through Power BI, into a more advanced modular dashboard provide actionable insights. Supports the program by applying the analytics and visualization in the day to day operations of the BRS program that includes, onboarding of new clients and/or services to the business continuity program, strengthening the processes and engagements with business projects / functions to provide guidance on the development of business continuity plans and testing the same Strengthening in tracking compliance to the agreed business continuity controls through ongoing reviews Integrate the outcomes from various analytics techniques to provide insights beyond the obvious, which helps create value for Accenture and its clients. Leverage a combination of multiple approaches for project execution, including internal assets, third-party and open-source solutions to create unique methods of delivery. Collaborate with stakeholders, subject matter experts, client teams and other functional teams globally to understand business problems and conceptualize, design and execute solutions using various data sources and advanced analytics approach. BASIC QUALIFICATIONS Education Bachelors/Masters Overall 2-4 years of experience in analytics and modeling in multiple domains (HR, Finance, Market Research etc.) with hands on experience in handling data, analytics and visualization driven decision making. Proven background and experience in more than one of the following, with expertise in at least one Survey Data Analytics, Business Resilience Analytics, Predictive Modeling/Machine Learning techniques. Proficiency in Primary/Secondary research. Proficient verbal and written communication skills in English. Ability to work with diverse teams and stakeholders globally. Ability to understand complex real world business problems, often in ambiguous scenario, and transform into workable solutions. PROFESSIONAL QUALIFICATIONS Desired Certification in Analytics PERSONAL ATTRIBUTES Build skills (self or others) needed to execute responsibilities Establish self as expert or key contributor Qualification Experience: Minimum 2 year(s) of experience is required Educational Qualification: Graduation

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : ServiceNow App Engine Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated with the latest technology trends and best practices to ensure that the solutions you propose are innovative and effective. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies that can improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow App Engine.- Strong understanding of cloud architecture and deployment models.- Experience with integration of ServiceNow with other enterprise applications.- Ability to design scalable and high-performance applications.- Familiarity with IT service management processes and best practices. Additional Information:- The candidate should have minimum 12 years of experience in ServiceNow App Engine.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : ServiceNow App Engine Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated on industry trends and best practices to ensure that the solutions you propose are innovative and effective. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies that can improve system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow App Engine.- Strong understanding of cloud architecture and deployment models.- Experience with integration of ServiceNow with other platforms.- Ability to design scalable and high-performance applications.- Familiarity with IT service management processes and best practices. Additional Information:- The candidate should have minimum 12 years of experience in ServiceNow App Engine.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

1. POSITION VACANT: Data Analyst, SAMS, Lucknow, Uttar Pradesh 2. ORGANISATIONAL BACKGROUND: Our Client, the United Nations Development Programme (UNDP) , works in about 170 countries and territories, helping to eradicate poverty, reduce inequalities and exclusion, and build resilience so countries can sustain progress. As the UNs development agency, UNDP plays a critical role in helping countries achieve the Sustainable Development Goals. UNDP has been working in India since 1951 in almost all areas of human development - from systems and institutional strengthening to inclusive growth and sustainable livelihoods, as well as sustainable energy, environment and resilience. With projects and programmes in every state and union territory in India, UNDP works with national and subnational government, and diverse development actors to deliver people-centric results, particularly for the most vulnerable and marginalized communities. As the integrator for collective action on the Sustainable Development Goals (SDGs) within the UN system, we are committed to support the Government of Indias national development vision and priorities and accelerate the achievement of the SDGs for the people and the planet. For more information about UNDP India , please visit PROJECT BACKGROUND: Uttar Pradesh , Indias most populous state, faces a wide spectrum of disaster risks owing to its diverse geography, high population density, rapid urbanization, and climatic vulnerabilities. Recurrent floods, seasonal droughts, heatwaves, earthquakes, industrial accidents, and urban disasters significantly disrupt lives, infrastructure, agriculture, and livelihoods. While the Government of Uttar Pradesh has taken commendable steps to strengthen disaster preparedness, existing institutional capacities and planning frameworks require substantial support to keep pace with the growing risks exacerbated by climate change. Recognizing these challenges, the Relief Commissioners Office and the UPSDMA are partnering with UNDP to build a comprehensive, resilient, and forward-looking disaster risk management system. The proposal is aligned with the recommendations of the XV Finance Commission , which advocates for proactive disaster mitigation, preparedness, and risk-informed development planning. UNDPs technical assistance will support a multi-pronged approach, including and not limited to the development of District and Departmental Disaster Management Plans, Hazard Risk and Vulnerability Assessments (HRVAs), Urban Disaster Management Plans (UDMPs), and Detailed Project Reports (DPRs) . A dedicated team of experts will be deployed at the Uttar Pradesh State Disaster Management Authority (UPSDMA) office to provide strategic direction and technical coordination. In this context, UNDP is looking to onboard a Data Analyst on a third-party contract for providing overall strategic direction, coordination, and stakeholder engagement for the effective implementation of the disaster risk mitigation initiative. The incumbent will coordinate a team of experts, facilitate inter-departmental collaboration, and deliver high-quality outputs, including district and departmental disaster management plans, hazard risk vulnerability assessments and MIS integration with state partner. 3. JOB PURPOSE AND SCOPE OF WORK (SOW): Reporting to Programme Specialist (Resilience) , the Data Analyst will support the team of disaster management experts in leveraging data for evidence-based planning, monitoring, and decision-making across disaster risk reduction (DRR) interventions in Uttar Pradesh. The role involves managing datasets from HRVA, MIS, DMPs, and DPR implementation, and transforming them into actionable insights and visualizations to guide strategic planning and reporting. Duties and Responsibilities: (A) Data Collection & Management : (1) Support the UPSDMA in collecting, organizing, and cleaning data from multiple and relevant sources, including departmental records, HRVA studies, MIS systems, and project reports; (2) Establish and maintain databases and data repositories aligned with project components such as risk assessments, training records etc; (3) Ensure data accuracy, consistency, and quality across departments and stakeholder institutions. (B) Data Analysis & Visualization: (1) Perform quantitative and qualitative data analysis to support planning, progress tracking, and decision-making; (2) Develop visual dashboards, graphs, and reports using tools like Power BI, MS Project, Excel, or Tableau to communicate key insights when required; (3) Provide support in analyzing geographic distribution of risks and interventions. (C) Integration with MIS & GIS Platforms: (1) Support with the MIS and GIS teams of UPSDMA in aligning datasets for real-time reporting and spatial analysis; (2) Support integration of HRVA, demographic, and infrastructure data into the State Disaster MIS. (3) Assist in developing predictive models and decision-support tools to enhance early warning and preparedness systems. (D) Monitoring & Evaluation Support: (1) Support the preparation of monthly, quarterly, and annual analytical reports for stakeholders; (2) Assist in trend analysis and cost-benefit studies for proposed and ongoing interventions. (E) Capacity Building & Documentation: (1) Document data methodologies, metadata standards, and analysis protocols for institutional knowledge management; (2) Assist in preparing technical notes, presentations, and case studies based on data findings; (3) Support training sessions for PMU and departmental staff on data tools and dashboard use. 4.QUALIFICATIONS, EXPERIENCE AND COMPETENCIES: Qualification: Bachelors degree in Statistics, Data Science, Economics, Computer Science, or a related field. A Masters degree or diploma in Data Analytics, Public Policy, or Monitoring & Evaluation is an asset is preferred. Experience: (1) Minimum five years of experience in community mobilization, grassroots disaster preparedness, or social development programs; (2) Prior experience with donor-funded projects, UN agencies, or development sector projects will be an asset; (3) Additional experience in procurement of goods and services is desirable. Skills and Competencies: (1) Strong knowledge of data analytics, visualization, and statistical tools for transforming raw data into actionable insights; (2) Deep understanding of performance indicators, monitoring systems, and MIS integration in the context of disaster risk reduction or development programs; (3) Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau, or R); (4) Strong analytical skills, attention to detail, and the ability to handle large and complex datasets; (5) Familiarity with project performance indicators, monitoring systems, and MIS data flows; (6) Effective communication and documentation skills to present data to technical and non-technical audiences. Languages: Excellent knowledge of written and spoken English and Hindi is essential. Competencies: Technical Competencies: (1) Experience in working with disaster-related datasets, including HRVA, DMPs, and early warning systems; (2) Knowledge of integrating tabular and spatial data for GIS-based decision-making; (3) Familiarity with government reporting formats and SDMIS/National Disaster Database systems; (4) Experience in predictive modeling, statistical forecasting, or AI-based risk analytics is an advantage; (5) Ability to contribute to real-time data dashboards and mobile data collection systems (e.g., KoboToolbox, ODK); (6) Understanding of data privacy, protection, and data governance frameworks in public systems. Core Competencies: (1) Strong written communication skills, with the ability to draft technical notes, reports, official correspondence, and knowledge materials clearly and effectively; (2) Excellent interpersonal skills, capable of building trust and maintaining positive relationships with diverse stakeholders; (3) Ability to convey complex technical information to non-technical audiences, such as local beneficiaries and school staff; (4) Skilled in conducting training sessions and presentations in Hindi and English as required; (5) Maintains regular, transparent communication with supervisors, UNDP office, government officials, and project partners; (6) Proficient in using MS Office (Word, Excel, PowerPoint) and digital communication tools for reporting, documentation, and coordination. 5. CONSULTANCY FEE: The monthly consultancy fee for the position is as per norms The professional fee will be subject to withholding taxes, as applicable. 6. NATURE OF ENGAGEMENT: The selected candidate shall be engaged as a Consultant on the rolls of SAMS , a third-party payrolling agency, for a full-time consultancy engagement for a period of one year. It is explicitly clarified that this consultancy engagement does not constitute a promise or guarantee of future employment, with SAMS , or our client, or any other organization associated with the project. 7. LOCATION: Lucknow, Uttar Pradesh 8. REFERENCE: DA-SAMS

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAS Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications align with business objectives. You will also engage in discussions with team members to refine designs and address any challenges that arise during the development process, ensuring that the final product meets the highest standards of quality and functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for application design.- Develop and document design specifications that align with business needs and technical requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong analytical skills to interpret complex data sets and derive actionable insights.- Experience in application design and development methodologies.- Familiarity with software development life cycle and project management principles.- Ability to communicate technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in SAS Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Job Position Controlling Professional - Processes Education Qualification: Chartered Accountant with 2 - 3 years of post-qualification experience. Job Responsibilities: Responsible for quarterly computation of Base Allowance and Expected Credit Loss for audit purposes and liaising with external / statutory auditors for resolution of any queries on the same. Responsible for monthly review of key focus areas for Accounts receivable, Cash & Bank and Site Cash process and presenting observations to Team Leader, Manager-Controlling & Head of Accounting. Responsible for reviewing existing processes on a regular basis to identify improvements as well as ensuring that the improvements suggested are implemented. Responsible for framing and implementing new processes as and when required. Responsible for proactively identifying digitalization initiatives to simplify existing processes. Responsible for identifying key controls required for the process and communicating the same to the risk and internal control team. Responsible for ensuring clear communication and proper execution of tasks for assigned areas with stakeholders from Business teams, Corporate departments, GBS, Head of Accounts of other group companies within the scope of CF R SAS, CFA. Responsible for ensuring compliance to all internal / external regulations. Skill sets required: Working knowledge of SAP Clear understanding of accounting processes like Accounts Receivable, Accounts Payable, Cash & Bank etc Good communication and organizational skills.

About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models, leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Hands-on experience with LLMs, GenAI, and RAG architectures. Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms, deep learning architectures, and NLP techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Reporting to the Programme Specialist (Resilience) , the Project Procurement Expert will support UPSDMA, in planning, executing, and monitoring its key procurement activities. The expert will facilitate vendor management and support transparent and efficient procurement systems to strengthen implementation of DPRs, HRVA, MIS, and DMPs and other related disaster management activities. Duties and Responsibilities: (A) Procurement Planning & Strategy: (1) Support the UPSDMA in the preparation of the annual procurement plan in alignment with DPR deliverables and timelines; (2) Identify procurement needs across components such as HRVA, MIS, infrastructure, and capacity building and other related activities. (B) Tendering & Vendor Selection: (1) Draft and support the UPSDMA in the development of RFPs, RFQs etc; (2) Support bid evaluations, pre-bid meetings, and technical/financial analysis in a transparent and timely manner; (3) Assist in vendor identification, shortlisting, vendor creation and maintaining a qualified supplier database. (C) Contract Management & Compliance: (1) Prepare contract templates and manage the contract lifecycle, including execution, amendments, and closeout; (2) Support compliance monitoring, documentation, and risk mitigation throughout the procurement process. (3) Ensure adherence to financial and procurement regulations under the XV Finance Commission and government systems. (D) Monitoring & Documentation: (1) Maintain an up-to-date procurement tracker to monitor procurement status, lead times, and budget allocations; (2) Support internal and external audits by ensuring procurement documentation is well-maintained and accessible. (E) Capacity Building & Technical Support: (1) Provide guidance and handholding support to UPSDMA and line departments on public procurement systems; (2) Facilitate training sessions on procurement norms, compliance, and good practices for relevant stakeholders; (3) Collaborate with UPDESCO, RAHAT, and other implementation agencies to streamline procurement workflows. 4. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES: Qualification: Bachelors degree Supply Chain Management, Business Administration, Finance, Public Administration, or a related field. Experience: (1) Minimum three years of relevant experience in procurement and contract management, preferably within government, UN, or donor-funded development projects; (2) Demonstrated experience in public procurement procedures, tendering, vendor management, and compliance with government financial rules; (3) Familiarity with procurement under schemes such as the XV Finance Commission, and platforms like GeM, e-Tender portals is desirable; (4) Prior experience with donor-funded projects, UN agencies, or development sector projects will be an asset; (5) Additional experience in procurement of goods and services is desirable. Skills and Competencies: (1) In-depth understanding of public procurement rules, General Financial Rules (GFR), and government tendering procedures; (2) Sound knowledge of contract management, procurement planning, bid evaluation, and compliance mechanisms in line with donor or government norms; (3) Strong analytical skills, attention to detail, and the ability to handle large and complex datasets; (4) Familiarity with project performance indicators, monitoring systems, and MIS data flows; (5) Effective communication and documentation skills to present data to technical and non-technical audiences. Languages: Excellent knowledge of written and spoken English and Hindi is essential. Competencies: Technical Competencies: (1) Experience in working with disaster-related datasets, including HRVA, DMPs, and early warning systems; (2) Knowledge of integrating tabular and spatial data for GIS-based decision-making; (3) Familiarity with government reporting formats and SDMIS/National Disaster Database systems; (4) Experience in predictive modelling, statistical forecasting, or AI-based risk analytics is an advantage; (5) Ability to contribute to real-time data dashboards and mobile data collection systems (e.g., Kobo Toolbox, ODK); (6) Understanding of data privacy, protection, and data governance frameworks in public systems. Core Competencies: (1) Strong written communication skills, with the ability to draft technical notes, reports, official correspondence, and knowledge materials clearly and effectively; (2) Excellent interpersonal skills, capable of building trust and maintaining positive relationships with diverse stakeholders; (3) Ability to convey complex technical information to non-technical audiences, such as local beneficiaries and school staff; (4) Skilled in conducting training sessions and presentations in Hindi and English as required; (5) Maintains regular, transparent communication with supervisors, UNDP office, government officials, and project partners; (5) Proficient in using MS Office (Word, Excel, PowerPoint) and digital communication tools for reporting, documentation, and coordination.