1563 Predictive Modeling Jobs

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 description: Arcadis IBI is seeking a highly skilled and experienced Traffic / Transportation Engineer specialized in Traffic Due Diligence Studies for Highway Assets at its Hyderabad office Location. The ideal candidate should possess solid background in traffic engineering and data analytics, with a minimum of professional experience of 3 years. He or She should have a technical acumen and can effectively tailor traffic and transportation engineering solutions to support the team objectives. Your responsibilities will encompass conducting comprehensive traffic studies, leveraging data analytics tools, and producing insightful reports. Your strong communication and presentation skills will be instrumental in conveying findings effectively. Role accountabilities: Conduct Traffic Due Diligence Studies: Conduct comprehensive traffic engineering assessments and due diligence studies for highway assets including liaison with Government authorities at Field. Data collection and collation: Oversee the systematic gathering of comprehensive traffic data, including vehicle counts, classifications, origin-destination, axle load and other traffic surveys. Ensure the accurate compilation and organization of collected data from Field and Office, validating its integrity for reliable analysis, and forecasting in the due diligence process. Data Analytics: Utilize various data analytics tools and techniques to extract, analyze, and interpret traffic-related data, contributing to evidence-based decision-making processes and efficient reporting. Communication and Presentation: Effectively communicate technical findings, methodologies, and recommendations to internal teams, clients, and stakeholders through clear and concise presentations, both written and oral. Report Writing: Prepare detailed and well-structured technical reports documenting the outcomes of due diligence studies, providing actionable insights and recommendations to address any identified traffic-related issues with a high degree of clarity, accuracy, and attention to detail. Collaborative Team Player: Collaborate with cross-functional teams including civil engineers, transportation planners, and urban designers / planners contributing to a holistic approach in project evaluations. Quality Assurance: Implement quality assurance processes to ensure accuracy, reliability, and consistency in all traffic engineering assessments and due diligence studies. Continuous Learning: Stay abreast of the latest advancements and trends in traffic engineering, data analytics, and related fields, and apply this knowledge to enhance the effectiveness of due diligence studies. Qualifications & Experience: Educational Background: A post-graduate degree in Civil Engineering, Transportation Engineering or Planning or a closely related field, with a strong focus on traffic engineering and transportation planning. Experience: Around 3 to 5 years of experience in traffic engineering, with a specific emphasis on conducting due diligence studies for highway assets. Data Analytics Skills: Highly proficient in using data analytics tools such as MS Excel, Python, or other relevant software to analyze and interpret traffic data. Professional Certifications: Any relevant certifications and transport modelling expertise in traffic engineering and / or data analytics will be an advantage. Experience in Investment Grade Traffic due diligence studies is Highly preferrable.

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.

JOB DESCRIPTION / RESPONSIBILITIES: The Specialist Data Science (SDS) will report to the Deputy Director Data Science and support the data science initiatives of the Department of Health and Family Welfare and the Department of Medical Education, Uttar Pradesh, to improve public health. The SDS will work closely with cross-functional organizations and teams, including government officials, vendors, IHAT teams, and other partner organizations of IHAT , to identify data science opportunities, develop strategies, and implement innovative data science solutions to enhance the public health system. Key Roles and Responsibilities: (1) Developing end-to-end data science-related projects at IHAT; (2) Collaborating with vendors to implement large scale data science products for public health; (3) Taking ownership of the complete lifecycle of data science products, from conception to rollout, encompassing capacity building of end users and related activities; (4) Knowledge dissemination including effectively communicating complex findings to both technical and non-technical audiences, sharing insights through presentations, reports, paper publications, and visualizations, and mentoring junior team members. (5) Any other work as assigned by the supervisor. 4. QUALIFICATIONS, EXPERIENCE AND COMPETENCIES: Qualifications and Experience: (1) A master degree or higher such as PhD, M. Tech., MCA, MSc. relevant to Digital/ Information Technologies, Computer Science/ Data Science/ Computer Applications, or its equivalent; (2) Minimum of three to five years of professional experience in advanced machine learning, deep learning, and AI techniques is essential; (3) Leadership experience in managing data science teams or projects, and/or working with data science teams in government organizations, shall be preferable. Skills and Competencies: (1) Proficiency in Python, SQL and Excel is required; (2) Expertise in machine learning and deep learning techniques specifically in image processing, predictive modeling, natural language processing, and data mining is essential; (3) Experience in Android application programming will be an added advantage; (4) Good knowledge of version control, continuous delivery, unit testing, documentation, and release management; (5) Knowledgeable about cloud-based platforms (AWS, Google Cloud Platform, Azure) and GPU acceleration for scalable model development. (D) Relationships (1) Internal : Deputy Director, Data Science and other internal team. (2) External : Officials of the Government of Uttar Pradesh (GoUP). IHATs Values in Practice (1) Community Centric : It is the communities IHAT serves and the community at IHAT that drives it forward; (2) Think Sustainability : IHAT believes in engaging with the government and communities to scale up and sustain positive outcomes; (3) Scientific and Innovative : IHAT relentlessly pursues scientific rigour and adapts its work in the face of new evidence. It encourages out-of-the-box thinking and challenges itself to do better; (4) Interdisciplinary : IHAT foster discussion, debate and deliberation across disciplines to arrive at the best possible solution. 5. COMPENSATION OFFERED: Gross compensation budgeted for the position is attractive. Please note that the offer made to the selected candidate shall be commensurate with qualifications, experience, and salary history.

We will count on you to: Create methods and practices to carry out robust capacity planning in back office/Admin and Project based teams in O&T Be an expert at forecasting and try different avenues and models of forecasting for varied teams across Operations & technology units. Provide insights and experimental analysis on how various forecasting models can be adapted to make our planning exercise richer and closer to ground reality Utilize forecasting tools and practices which are best in class at an industry level and harmonize ways of working with our teams with that Improve the accuracy of our predictions and plans and bridge the gap between forecast and actual volumes, revenues, performance and more operational aspects. Aid the development of Capacity Planning application from an end users perspective develop and refine individual capacity plans for each of O&Ts product lines/regional operations across their on and offshore operations, in collaborations with regional operations leads support optimization of back office/admin workforce management practices across O&T and be able to leverage peaks and troughs, and lean periods to maximize use of existing resources. support managers and leader in Operations teams in making appropriate hiring and capacity augmentation decisions which include cross training, contract resourcing, lending & borrowing resources etc. Stakeholder management and influence: Collaborate with COOs and operations leads to create meaningful plans for their units and communicate that effectively using facts and data. collaborate with them to create messaging and insights such that accurately reflect their teams position and can be supported effectively provide insights that help them run operations more effectively from service delivery, quality and cost perspectives bring out the best practices across other O&T teams and to cross pollinate best practices across operations What you need to have: Bachelors degree in business administration, maths, engineering or economics from accredited university or equivalent experience 20+ years of experience in ITES 10+ year of experience in business intelligence, predictive modelling, forecasting and planning in Services Industry, supply chain or logistics Experience with BackOffice Planning and exposure to Contact Centre operations Experience as a Client Relationship Manager or Product Manager is preferred Knowledge of customer relationship management practices Problem-solving attitude Excellent analytics skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Excellent communication skills Aptitude for fostering positive relationships Teamwork and leadership skills Customer-oriented mind-set Minimum 12 months experience as Associate Director(Level F) / Director (Level G) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months. What makes you stand out? Demonstrate agility and rigor Attention to detail with exceptional quality of work Excellent communication and interpersonal skills. Adaptive to organisational culture and business environment Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

About the job : Zeta Global is looking for an experienced ML Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organization. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning best-practices and industry standards. Be able to design and execute experiments to measure the impact of new features and machine learning models on business outcomes. Empower the product and engineering teams to make data-driven decisions. What you need to succeed 46 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelors degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred. Solid experience with ML infrastructureincluding model deployment, evaluation, data processing, and debuggingwith a track record of building scalable ML solutions from business requirements. Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API. Hands-on experience with LLMs like GPT or Claude is highly desirable. Strong background in building, deploying, and integrating AI agents using LLMs is a big plus. Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment. Committed to high code quality, with an emphasis on thorough code reviews and testing. Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders. Our technology runs on the Zeta Marketing Platform, which powers end to end marketing programs for some of the worlds leading brands. With expertise encompassing all digital marketing channels Email, Display, Social, Search and Mobile Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

About this role: Wells Fargo is seeking a (Commercial Banking Portfolio Manager). We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Research complex credit investigations and diverse credit information for loans Identify opportunity for process improvements within scope of responsibilities or functional area Review and identify basic operational assignments that require research, evaluation, and selection of alternatives while exercising independent judgement to guide medium risk deliverables Present recommendations for resolving complex situations and exercise independent judgement while developing expertise in the function, policies, procedures, and compliance requirements Collaborate and consult with functional colleagues, internal partners, and stakeholders including internal as well as external customers Required Qualifications: 2+ years of Commercial Banking Portfolio Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: MBA (FinanceBanking), Cost and Management Accountancy, Chartered Accountancy or post- graduation in Economics. Atleast 2+years of overall commercial credit experience across diversified asset class (includes corporate entities and real estate asset class) Good knowledge on financial statements for various industries with ability to ascertain trends, ratios and call out key risks when compared to benchmarks (historical and industry performance). Well versed with Discounted Cash Flow, Comparable Company, and Precedent Transaction analysis. Working experience with Moodys Risk Analytics would be a plus. Experience in assessing credit worthiness of borrower based on various qualitative and quantitative factors Excellent communication skills, with special focus on business writing skills for credit reports. Ability to read, comprehend and synthesize data regarding borrower performance market related information from multiple sources into one prescribed template. Advanced excel skills would be a plus

AI Ops Engineer2 Job TitleAI Ops EngineerExperience35 yearsAbout the RoleWe are seeking a hands-on and proactive AI Ops Engineer to operationalize andsupport the deployment of large language model (LLM) workflows, including agentic AIapplications, across Marvells enterprise ecosystem.This role requires strong prompt engineering capabilities, the ability to triage AI pipelineissues, and a deep understanding of how LLM-based agents interact with tools,memory, and APIs. You will be expected to diagnose and remediate real-time problems,from prompt quality issues to model behavior anomalies. Key ResponsibilitiesDesign, fine-tune, and manage prompts for various LLM use cases tailored to Marvellsenterprise operations.Operate, monitor, and troubleshoot agentic AI applications, including identifying whetherissues stem from:Prompt quality or structureModel configuration or performanceTool usage, API failures, or memory/recall issuesBuild diagnostics and playbooks to triage LLM-driven failures, including handling fallbackstrategies, retries, or re-routing to human workflows.Collaborate with architects, ML engineers, and DevOps to optimize agent orchestrationacross platforms like LangGraph, CrewAI, AutoGen, or similar.Support integration of agentic systems with enterprise apps like Jira, ServiceNow, Glean, orConfluence using REST APIs, webhooks, and adapters.Implement observability and logging best practices for model outputs, latency, and agentperformance metrics.Contribute to building self-healing mechanisms and alerting strategies for production-gradeAI workflows.Required Qualifications 36 years of experience in software engineering, DevOps, or ML Ops with exposure toAI/LLM workflows.Strong foundation in prompt engineering and experience with LLMs like GPT, Claude,LLaMA, etc.Practical understanding of AIOps platforms or operational AI use cases (incident triage,log summarization, root cause analysis, etc.).Exposure to agentic AI architectures, such as LangGraph, AutoGen, CrewAI, etc.Familiarity with scripting (Python), RESTful APIs, and basic system debugging.Strong analytical skills and the ability to trace issues across multi-step pipelines andasynchronous agents. Good-To-HaveGleanDevRevCodiumCursorAtlassian AIDatabricks Mosaic AI

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 : Machine Learning Good to have skills : NAMinimum 5 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. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. 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 alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with programming languages such as Python or R for model development.- Ability to work with data visualization tools to present findings effectively. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will engage in the ongoing technical support and maintenance of both production and development systems, as well as software products. Your typical day will involve addressing various technical issues, providing hardware and software support, and implementing technology solutions across different platforms. You will work both remotely and onsite, ensuring that all systems operate smoothly within defined processes and operating models. Your role will also include troubleshooting at both basic and intermediate levels, contributing to the overall efficiency and reliability of the technical environment. 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.- Assist in the documentation of technical processes and procedures to enhance team knowledge.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery solutions for SQL Server.- Familiarity with performance tuning and monitoring tools.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 2 years of experience in Microsoft SQL Server Administration.- This position is based at our Jaipur 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 RESTful APIs.- 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 : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform 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. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. 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- Design and develop applications- Collaborate with cross-functional teams- Contribute to key decisions Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- 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 Databricks Unified Data Analytics Platform- 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 Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve technical challenges, ensuring the smooth operation of applications and systems that are vital to business functions. You will engage in problem-solving activities, analyze system performance, and contribute to the continuous improvement of processes and services, all while maintaining a focus on delivering exceptional support to users and stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor system performance and proactively address potential issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for SQL databases.- Familiarity with performance tuning and query optimization.- Ability to troubleshoot and resolve database-related issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. 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 ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application 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 in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Business Requirements Analysis Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE or Btech Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your role will involve collaborating with multiple teams and engaging in key decision-making processes to provide solutions for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead current state assessments to identify high-level customer requirements- Define business solutions and structures to realize opportunities- Develop a business case to achieve the vision Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Requirements Analysis- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- 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 7.5 years of experience in Business Requirements Analysis- This position is based at our Coimbatore office- A BE or Btech is required Qualification BE or Btech

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Exadata Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve complex software problems, ensuring the seamless operation of essential applications. You will engage in proactive monitoring and maintenance of systems, while also documenting solutions and sharing knowledge with your colleagues to enhance overall team performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions to enhance team skills and knowledge.- Develop and implement best practices for application support and maintenance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Exadata Administration.- Strong understanding of database management and optimization techniques.- Experience with performance tuning and troubleshooting of Exadata systems.- Familiarity with backup and recovery strategies for critical applications.- Knowledge of scripting languages for automation of routine tasks. Additional Information:- The candidate should have minimum 5 years of experience in Exadata Administration.- 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 : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data processing libraries such as Pandas and NumPy.- Knowledge of software development best practices, including version control and testing. Additional Information:- The candidate should have minimum 5 years of experience in Python (Programming Language).- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education