554 Predictive Modeling Jobs - Page 21

Management Level :07 - Manager Location :Gurgaon/Bangalore/Mumbai Must have skills :Python Programming, Machine Learning, Generative AI (GPT, DALLE, GANs), Model Deployment, Cloud (AWS/Azure/GCP), Statistical Analysis, Data Science, API Development, Docker/Kubernetes Good to have skills :PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions Job Summary : Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development & delivery of the innovative solutions and enhance our AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Independent Project Leadership :Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. Pod Leadership :Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions. Model Development :Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more. Strategy Development :Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes. Ethical AI Practices :Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations. Performance Evaluation :Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards. Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Research and Innovation :Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques. Mentorship :Guide and mentor junior team members, fostering a culture of innovation and continuous learning. Professional & Technical Skills: 6+ years of experience in Data Science , Machine Learning , or related fields with a focus on Generative AI models (LLMs) . Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow , PyTorch ). Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building . Ability to work with Docker , Kubernetes , and API Development to deploy generative AI models. Strong analytical, problem-solving , and critical thinking skills. Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI . Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences. Additional Information: Experience with large-scale data processing and cloud computing platforms. Familiarity with NLP , computer vision , and other AI applications. Publications or contributions to open-source AI/ML projects . Experience in cloud integrations and performance optimization . Strong leadership skills with experience in guiding teams and managing AI projects. Qualifications Experience :Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on Generative AI models (LLMs) and leadership in AI solutions. Educational Qualification :Masters or Ph.D. in Computer Science , Data Science , Statistics , or related field.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role 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 Provide Subject matter expertise in various sub-segments of the LS industry. 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. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. 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

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind&Func AI Decision Science Manager Job Location :- Delhi, Gurgaon, Mumbai, Bangalore About S&C - Global Network :- Accenture GN's Data & AI (AI Hub India) practice helps our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modeling to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role 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. Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client. Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role). Provide Subject matter expertise in various sub-segments of the LS industry. 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. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Proven experience (10 + years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Excellent analytical and problem-solving skills, with a data-driven mindset. 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 Client handling skills; able to demonstrate thought leadership & problem-solving skills.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role 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 Provide Subject matter expertise in various sub-segments of the LS industry. 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. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. 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 Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role 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 Provide Subject matter expertise in various sub-segments of the LS industry. 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. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. 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 Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind&Func AI Decision Science Manager Job Location :- Delhi, Gurgaon, Mumbai, Bangalore About S&C - Global Network :- Accenture GN's Data & AI (AI Hub India) practice helps our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modeling to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role 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. Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client. Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role). Provide Subject matter expertise in various sub-segments of the LS industry. 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. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Proven experience (10 + years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Excellent analytical and problem-solving skills, with a data-driven mindset. 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 Client handling skills; able to demonstrate thought leadership & problem-solving skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. How will you make an impact in this role? The Forecasting Team within Global Capacity and Contact Management (GCCM) has one main objective the accurate prediction of demand case setups, daily call/chat volumes and average handle times, which allows Capacity Staffing and Scheduling to deliver against customer, shareholder and employee goals. Our Team is responsible for providing end-to-end demand forecasts across all customer service networks in the US and around the World. We are also responsible for monitoring channels of contact trends and providing deep-dive analytics to support configuration and customer satisfaction enhancement decisions. The Analyst - Planning position on the Forecasting Team will specifically play a key role in developing Global Short Term and Long-Term forecasts for case setups, chat and call volume segments. Job Responsibilities: Develop Global Short-Term and Long-Term forecasts for case setups, chat and call volumes. Leverage complex data sources to extract meaningful insights. Conduct strategic analyses to inform business decisions and actionable recommendations. Develop and automate reports/dashboards to inform partners and senior leaders. Collaborate and effectively partner with multiple functional teams to acquire and apply knowledge of business growth initiatives, risk/financial actions and/or process optimization programs to identify risk and opportunities. Manage in a global 24x7 environment with the potential for dealing with crisis/contingency plan situations. Develop insightful content and analysis for communication with partners. Required Skills/Qualifications: Rigorous analytics/econometrics to effectively solve complex business problems Ability to build strong relationships in a cross-functional environment, interacting with and influencing partners in Capacity Planning, Finance, Scheduling and Real Time Optimization. Strong programming/analytics skills are required (SQL, PYTHON, HIVE etc.). Working experience in reporting (i.e. data visualization, PowerBI, Tableau) Strong written and verbal communication skills Experience working with large datasets; knowledge of Hive, SQL, Google Big Query Cloud or other programming language preferred. Experience working with machine learning algorithms to develop best in class predictive modeling (including neural networks) preferred. Academic background: Advanced degree in Statistics, Economics, Applied Economics, or Business Analytics. Master s degree preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Led the project from India working with onshore/ client stakeholders. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include working with the team of junior analysts, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Education Bachelor of Engineering in Statistics Work Experience Overall, 4-7 years of rich experience in marketing analytics with 3+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and good PowerPoint skills. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering the results within timelines. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Education BE/B.Tech Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements Supports client strategy to ensure business and compliance needs are met Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques Manage & develop patient/epidemiology-based forecasting models for pharma clients Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc) Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Job Responsibilities- Create and validate analytical datasets using on real-world data sources (e.g., claims data, electronic health records) based on study protocols and inclusion/exclusion criteria. Conduct descriptive and inferential statistical analyses (e.g., hypothesis testing, regression modelling, survival analysis) Develop and validate statistical algorithms for advanced data analyses (e.g., propensity score matching, machine learning) Contribute to the development of study protocols, statistical analysis plans, abstracts/posters, manuscripts, and study reports. Collaborate with cross-functional teams (e.g., epidemiologists, clinicians, biostatisticians) to design and execute RWE studies.

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-7 years of experience in AI, ML, and Advanced Analytics. Proficiency in Python, R, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on experience with Big-data technologies (Cloudera, Apache Spark, Kafka, Iceberg table format). Strong knowledge of statistical modelling, optimization, and feature engineering. Understanding of MLOps practices and AI model deployment. Preferred technical and professional experience Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Exposure to Graph AI using DGraph Enterprise. Knowledge of cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6-10 years of experience in AI, ML, and Advanced Analytics. Strong programming skills in Python, R, and SQL. Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data platforms (Cloudera, Apache Spark, Kafka, Iceberg). Strong background in statistical modelling, optimization, and time-series forecasting. Experience with MLOps and model deployment on cloud platforms. Preferred technical and professional experience Should have over 10 Yrs of experience in developing and maintaining the advanced analytics as a data scientist. Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. To design, review and recommend the ML algorithms and provide a suitable solution for the business need. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Experience in working with Banking Data model by implementing any analytical solution. Exposure to Graph AI using DGraph.

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions even billions in value leakage, we help businesses plan smarter and faster This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains What our employees say: It s been around two years of working experience in o9 in Analytics COE team, but by each passing day I really enjoyed working here and each day turned out to be a learning experience for me Each day comes up with some new challenges and results in new learnings End of the day, I can say that I am very happy and satisfied with the work I am doing and looking forward for many more exploring opportunities here -Kadambini Indurkar, Data Scientist What you ll do for us: Own End-to-end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholders Identify relevant internal and external data sources Recommend and oversee appropriate statistical, ML and predictive modeling concepts Apply a variety of machine learning techniques (clustering, regression, ensemble, neural nets, time series, optimizations etc) to their real-world advantages/drawbacks Develop and deploy models for advanced models for demand planning/forecasting/sensing Design and build innovative models for revenue management and commercial planning Work on Market Intelligence, optimization (Heuristic, LP, GA, etc), Anomaly detection, Simulation, and stochastic models, etc Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics and the ability to generate new ones as needed Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects Guide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities, and maintain high coding standards and best practices within organization What you are/need: Skills, experience, education, behavioral traits Mandatory: 2 to 4 years of experience in the field of Data Science and Analytics Strong programming skills and experience in using Python and/or R for Data Science Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed Deep Knowledge of statistical and machine learning algorithms Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning Experience in building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning, and testing Experience in price elasticity models, price optimization, market mix modelling and trade promo optimization Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background Master s degree in computer science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable What we ll do for you: Competitive salary Stake in game with equity participation: we grow, you grow! Support network: Work with a team you can learn from and every day Get social: When we work from home, we play from home with fun after-work activities like Social Fridays If you re in the office, feel free to join these events in person Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Diversity: We pride ourselves on our international working environment How the process works: Apply by clicking the button below You ll be contacted by our recruiter, who ll fill you in on all things o9, give you some background about the role and get to know you They ll contact you either via video call or phone call - whatever you prefer During the interview phase, you will meet with technical panels for 60 minutes The recruiter will contact you after the interview to let you know if we d like to progress your application We will have 3 rounds of technical discussion followed by a HR discussion Our recruiter will let you know if you re the successful candidate Good luck! More about us At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!

We are seeking a highly skilled and independent Senior Machine Learning Engineer Contractor to design, develop, and deploy advanced ML pipelines in an AWS environment. Key Responsibilities: Design, develop, and deploy robust and scalable machine learning models. Build and maintain ML pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with data scientists, data engineers, and product teams to identify ML use cases and develop prototypes. Optimize models for performance, accuracy, and scalability in real-time or batch systems. Monitor and troubleshoot deployed models to ensure ongoing performance. Location - Kochi, Trivandrum,Remote.

Job Title : GN- SC&O - S&P -Spend Analytics- Data Visualization- BI - Consultant Management Level :09 – Consultant Location :Gurgaon Must have skills :Spend Analytics, Data Visualization Good to have skills :BI Tools (Power BI, Tableau) Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelor's degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred. About Our Company | Accenture Qualification Experience :5+ years of experience Educational Qualification :BE, BTech, MBA

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Agility for quick learning Written and verbal communication 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 Qualification Any Graduation

Job Title:GN - SC&O - S&P – Spend Analytics – Data Analyst Management Level:11 – Location:Gurgaon Must have skills:MS Excel, Spend Analytics Good to have Skills: Alteryx Job Summary : The Data Analyst will work closely with the Project Manager to assess data quality, identify gaps, conduct analysis, and draw insights. They will generate reports and extracts to support these insights and are expected to proactively identify data issues, develop solutions, and improve processes. The Data Analyst will manage databases, conduct data audits, and generate insights through analysis while collaborating with team members for continuous improvement Roles and Responsibilities: Data Handling and Analytics Data Management – Build and maintain databases by gathering data inputs from various sources. Data Refining and Enhancement – Create and maintain data refining rules and address data deficiencies through logical validation. Data Audit – Check data quality, identify gaps, and update the database as required. Data Analysis – Conduct analysis on prepared data as per defined processes and generate insights. Also, set up new analysis templates as required. Technical requirement MS Excel – Proficient in handling and structuring analysis independently; familiarity with Macros is a plus. Alteryx (Optional) – General understanding of the tool and its basic features. Professional and Technical Skills: Ability to create solutions for data / analytical problems. Build and execute reliable Excel data models to analyze spend, identify savings, and enable efficiency-related analysis. Conduct primary and secondary research to support the development of data-driven insights and process improvements. Collaborate with team members to identify key insights and opportunities. Focus on continuous process improvement Additional Information: Excellent Analytical and Research Capabilities: "Comfort and proficiency in handling large data analysis and secondary market research. Good Spoken and Written Communication Skills (English): "Ability to participate in global team calls. Advanced MS Excel Skills: "Ability to handle and structure analysis Exposure to Alteryx (Optional) Outstanding Numerical and Quantitative Analysis Capabilities. " Excellent Attention to Detail: "High output accuracy and innovative approaches to problem-solving. Good Working Knowledge of MS PowerPoint and MS Word: "Experience with creating presentations. Quick Learner of Technology: "Ability to quickly understand and adapt to new technologies . About Our Company | Accenture Qualification Experience:2+ years Educational Qualification:Bachelor’s or Master’s degree

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 : Ab Initio Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems 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 on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills: Proficiency in Ab Initio 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 Ab Initio This position is based at our Bengaluru office A 15 years full-time education is required Qualification 15 years full time education

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Result Oriented Problem Solving Skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

IT Internal Audit Associate Manager We Are: Accenture is helping transform leading organizations and communities around the world. Choose Accenture and make delivering innovative work part of your extraordinary career. Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and DiversityInc's Top 50 Companies for Diversity lists. The Internal Audit Department provides the Audit Committee of the Board of Directors with an independent and objective assessment of the reliability and integrity of financial and select operating information, the effectiveness and efficiency of Accenture plc and its consolidated subsidiaries' (the "Company") systems and internal controls, and compliance with the Company's policies and procedures. Internal Audit Services also provides advisory services designed to add value and improve the Company's operations through bringing a systematic, disciplined approach to evaluate and improve the effectiveness of risk management, controls, operations, and governance processes. You Are: An agile, highly-motivated, innovative thinker with a background in audit, risk, or compliance looking to join a fast-paced, global internal audit organization that has embraced transformative capabilities including advanced analytics, dynamic risk assessment processes, and automation to retain its role as a trusted advisor to the business. The Work: Participate in the execution of the risk-based audit plan, reporting results to Accenture Leadership and the Audit Committee of the Board of Directors Conduct a wide-ranging scope of audits with an emphasis on assessing emerging areas of risk including cyber security, artificial intelligence, cloud computing, robotic process automation, and the Internet of Things. Through advisory services, work with our business partners to help them proactively identify and manage risk in new technologies, new go-to-market offerings, and critical corporate initiatives. Shape the future of the Accenture Internal Audit through involvement in departmental initiatives that enable us to become more efficient and effective in everything we do. Ensure your technical skill set and business acumen stay current and relevant through participation in our robust training program. Support the departmental annual risk assessment and audit planning efforts Why Should I Join the Accenture Team? You are looking for an internal audit role that provides you with exposure to senior levels of leadership, enables you to work with emerging technologies, provides opportunities for international travel and flexible work arrangements (work from home), requires little to no SOX testing, and offers a competitive salary and benefits package. Qualification Desired Skills & Qualifications Undergraduate degree in Computer Science, Information Systems, Electronics, or Business Administration. Minimum of 6 years of experience in IT auditing, information security, or related technical role focusing on compliance activities. Experience conducting IT external and internal audits or assessments, preferably for a global organization. Strong IT knowledge in infrastructure technologies (networking, data centers and hosting, virtualization, cloud etc.), application development and support, and emerging technologies. Understanding of industry standards including ISO27001, ISO 20K, NIST 800-53, PCI DSS, HIPAA, GDPR Experience leveraging predictive models and custom analytics in audit planning and execution is preferred. Technical knowledge and familiarity with control requirements in areas including ERP applications, Windows and Unix operating systems, cyber security, cloud security and vendor management. Strong verbal and written communication skills and proficiency with the English language. Demonstrated leadership, teamwork, and collaboration skills. Possession of a relevant professional certification (CISA, CISSP, CIA, CPA, CCSK) is preferred. Ability to adopt flexible work hours to collaborate with global teams and travel (up to 20%).

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 : PySpark Good to have skills : NA Minimum 7.5 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. You will be responsible for managing the team and ensuring the successful delivery of projects. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems 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 on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills: Proficiency in PySpark 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 PySpark This position is based at our Hyderabad office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. 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 Pune office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. 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 7.5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Hyderabad office. 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. 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 7.5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Bengaluru office. 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. 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 7.5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Chennai office. 15 years full time education is required. Qualification 15 years full time education