524 Predictive Analytics Jobs - Page 20

Job Title:Data Analyst Experience5-10 Years Location:Chennai : Perform end-to-end analysis on healthcare data in tabular format or natural language data, ensuring strict compliance with HIPAA and data privacy regulations Independently identify problems, QA data, architect solutions and conduct analysis to support data-driven decision-making processes Collaborate with product managers, data scientists and data engineers, in an Agile and technology-driven environment Support senior data analyst and data scientists with data processing Generate internal data reports, ensuring clarity and alignment with organizational goals while adhering to HIPAA and data protection regulations Present in front of stakeholders including senior leadership, ensuring transparency and actionable recommendations ABOUT YOU: At least 3 years of work experience in analytics required, ideally in the healthcare or health plan sector, with a strong understanding of data privacy and governance frameworks such as HIPAA Strong analytical skills and critical thinking Strong knowledge of Excel calculations and data visualizations Strong SQL skills, experience of querying large datasets Experience of data visualization software (e.g., Power BI & Looker) Experience of generating automatic Power BI reports Strong statistical ability to analyze large amounts of data Experience of data wrangling and data visualization Desire and ability to build trust with business stakeholders, manage the relationship and socialize insights effectively Be able to communicate analytical insights with a variety of business stakeholders across different technical levels (including senior leaders) Self-motivated and be able to work independently Be able to work towards deadline NICE TO HAVE: Experience in Python Experience of cloud (AWS preferred) Experience in Quality or Risk Adjustment

Job Title:Data Analyst Experience5-10 Years Location:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title R&D Senior Member of Technical Staff-Test Location Hyderabad India Employment Type Full Time The job As part of our global AI development group, youll collaborate with a team of skilled software engineers in designing and implementing AI capabilities and solutions into our product suite. The work will primarily involve testing of our AI capabilities that we introduce in our products ensuring that they are of top-notch quality. You will have the opportunity to work with the latest technologies to ensure that we build and bring meaningful AI capabilities to the market through our product suite. Key responsibilities Participate in Scrum meetings with other team members including sprint planning and estimating; backlog refinement; daily Scrum meetings; sprint retrospectives and sprint reviews. Work collaboratively with scrum colleagues to identify, implement and execute functional and non-functional test scenarios to validate the functionality of the software. Be responsible for defining stories, test strategy, test ideas and translating those into automated and manual tests as part of a cross-functional development team. Use tools including test automation frameworks and data to make testing efficient and easily repeatable for regression purposes. You may be required to update existing frameworks or modify them or build new ones depending on the need. Design, implement, and execute test strategies for AI-powered applications, including LLM-based assistants, computer vision models, and predictive analytics systems. You may be required to mentor junior team members. Handle large amounts of data, as is normally the case with AI models. Essential requirements Minimum 10+ years of functional/domain testing experience within the engineering or a related industry. Expertise in non-functional requirement gathering and identifying critical business scenarios. Strong knowledge and hands-on experience in API testing via automation . Experience in application/functional testing . Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems . Proficiency with CI/CD tools such as GIT, TFS, MS Test, and Azure DevOps. Familiarity with Agile methodologies and processes. Experience in test automation using Selenium with C#/JavaScript or similar scripting languages. Understanding of Microservices and Service-Oriented Architectures . Good grasp of Machine Learning life cycle . Ability to design and implement unit and integration tests for machine learning models using varied datasets. Should have working knowledge in designing and implementing and executing test strategies for AI-powered applications like LLM-based assistants, computer vision models, and predictive analytics systems Exceptional communication skills to collaborate with Product Owners, System Testers, and Product Support teams . Experience mentoring and coaching less experienced colleagues. Strong problem-solving skills with a proactive and positive approach. Desired skills and competencies Organization: The pace at AVEVA can be exciting and fast, so whilst you will need excellent time management and effective prioritization, we will do all we can to support a balanced portfolio of work, and your wellbeing. Quality Software: You are passionate about delivering software that is reliable, performant and scales well. Problem-solving: Youll need to enjoy figuring how to get out of sticky problems, as troubleshooting and solving challenging problems is a big part of this role. R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke its the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out moreaveva.com/en/about/careers/r-and-d-careers/ India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support Its possible were hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out moreaveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process InterestedGreat! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process. Find out moreaveva.com/en/about/careers/hiring-process About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life such as energy, infrastructure, chemicals, and minerals safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targetssustainability-report.aveva.com/ Find out moreaveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.

Role Characteristics: Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner. You Will: Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering Derive insights and putting them together to build a story to solve a given problem Suggest ways for process improvements in terms of script optimization, automating repetitive tasks Create and automate reports and dashboards through Python to track certain metrics basis given requirements Automate reports and dashboards through Python Technical Skills (Must have) B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields 4-6 years of experience in working with data and conducting statistical and/or numerical analysis Ability to write SQL code Scripting/automation using python Hands on experience in data visualisation tool like Looker/Tableau/Quicksight Basic to advance level understanding of statistics Other Skills (Must have) Be willing and able to quickly learn about new businesses, database technologies and analysis techniques Strong oral and written communication Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) Experience working with large datasets Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark What we offer At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love. Parental leave- Maternity and Paternity Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays) In Office Daily Catered Lunch Fully stocked snacks/beverages Health cover for any hospitalization. Covers both nuclear family and parents Tele-med for free doctor consultation, discounts on health checkups and medicines Wellness/Gym Reimbursement Pet Expense Reimbursement Childcare Expenses and reimbursements Employee assistance program Employee referral program Education reimbursement program Skill development program Cell phone reimbursement (Mobile Subsidy program) Internet reimbursement Birthday treat reimbursement Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic Creche reimbursement Co-working space reimbursement NPS employer match Meal card for tax benefit Special benefits on salary account We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Key Responsibilities Design and develop analytic applications and KPI dashboards using SAP Analytics Cloud (SAC) for both import and live scenarios, Apply data visualization best practices, including R-visualizations and predictive modeling techniques, to enhance user experience, Develop and optimize dashboards and analytical models, ensuring high performance and intuitive usability, Build and manage Business Objects Universes, reports, and dashboards, with comprehensive documentation, Integrate and work with SAP and non-SAP reporting solutions, ensuring seamless interoperability, Design complex reports featuring multi-tab layouts, queries, charts, and drill-downs, Collaborate on SAP BW components, including BEx queries, custom exits, and broadcasting functionalities, Develop custom SAC applications using JavaScript and SAC scripting for extended functionality, Lead and mentor team members, promoting software quality standards and best practices, Support Agile project execution by implementing Scrum methodologies, Participate in solution design with cross-functional teams, Essential Skills Proven experience in SAC planning, forecasting, and integration with upstream systems, Strong knowledge of SAC predictive analytics features including: Smart Assist, Smart Predict, Smart Discovery Creating story canvases, advanced story designs, input controls, linked analysis Familiarity with data blending, formulas, cross-calculations, and dynamic inputs, Experience integrating SAC with SAP BW, SAP HANA, and non-SAP systems, Understanding of ETL processes, data integration tools, and data modeling, Proficiency in SQL, Python, or JavaScript for automation and scripting, Experience building custom widgets and applications in SAC using scripting, Certifications (Preferred) SAP Certified Application Associate SAP Analytics Cloud (or equivalent SAC-related certifications)

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights Global Insurtech 50 list and BuiltIns Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About Role: As the Senior Manager of Product Analytics, you will lead a motivated, exceptional team and be the go-to partner on experimentation and insights generation for Ethos. You will uncover shifting t rends in user behavior, generate powerful insights that drive product prioritization and recommendations, and optimize the effectiveness of our paid growth and acquisition efforts, playing a central role in shaping Ethos strategy and growth. Underpinning your work will be a collaboration with Engineering to implement well-defined taxonomies of Ethos product, ensuring analysis-friendly data production. Finally, you will partner closely with other leaders at Ethos to improve our capabilities around data modeling, experimentation, causal inference, and data visualization. Accompanying this broad set of responsibilities is exposure to the highest levels of leadership at the company, and a chance to work at the nexus of analytics, data science and product development at an innovative, fast growing startup. Duties and Responsibilities: Foster a data-driven culture Work closely with PMs to define feature goals, implement tracking, create dashboards to evaluate success, and analyze experimental results Lead a team of budding product analysts and provide them with career and technical c oaching Actively build roadmap of department for analytics over multiple quarters and manage execution of roadmap through sprints, Proactively generate exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities in the areas of risk, fraud detection, and pricing Perform exploratory analyses and in-depth research on large data sets to help product teams uncover high-impact opportunities in the areas of risk, fraud detection, and pricing Be the go-to expert on product data and insights Use your wizardly data querying and visualization skills to answer any question in a way that provides actionable insights Communicate not just findings, but also your recommendations to key stakeholders and executives. Publish Newsletters, drive cadences, manage 1:1 comms. Use your insights to advocate for our members in everything we do Qualifications and Skills: 8+ years of experience in data analysis, data science, and/or data-driven product management Expert knowledge of SQL Expertise with data visualization tools (Mode, Tableau, Amplitude) to convey actionable insights to product managers and business leaders Experience in A/B testing and experimentation best practices #LI-Hybrid #LI-DG1 Don t meet every single requirementIf you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice .

As a Senior Backend Engineer, youll work across the stack and be responsible for building scalable platform services and systems. You ll work closely with other engineers to build and ship key features. We are detail oriented and value clean, modular, and high-performing code. Youll help architect and build our internal standards and frameworks. We love engineering-wide consistency in code and have huge ambitions on both client and server side. Duties and Responsibilities: Design, build and maintain complex backend systems Collaborate with other engineers, PMs and non-technical stakeholders to develop and ship features Design, build, and maintain our API s Write efficient, modular, and reusable libraries and abstractions Find and solve performance issues Participate in code reviews Communicate best practices to the team Mentor junior engineers Qualifications and Skills: 10+ years of full time engineering experience Experience building complex architecture systems from the ground up, experience with backend architectural patterns of large, high-scale web applications Ability to design clean APIs and understanding of performance issues Experienced with software engineering best practices - design patterns, code reviews, unit and integration testing, etc. Engineering experience in TypeScript, GoLang, Python, PostgreSQL, Kubernetes, React, AWS Ability to communicate technical specifications both verbal and written Solid CS fundamentals - including data structures and algorithms Understanding of security, common attacks and defenses

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists’ team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 10+ years of experience solving analytical problems using quantitative approaches

locationsIN - Bangalore posted onPosted 30+ Days Ago job requisition idR141701 Welcome to the AP Moller Maersk! AP Moller Maersk is a $81.5 billion global shipping & logistics leader. Maersk is a Danish business conglomerate founded in 1904, with activities in the transport and logistics and energy sectors. Maersk has been the largest container ship and supply vessel operator in the world since 1996. The company is based in Copenhagen, Denmark with subsidiaries and offices across 130 countries and around 110,000 employees. Maersk's VisionImproving lives for all, by integrating the world. To know more about everything that Maersk does, visit us at. FocusPipeline Performance & Marketing Effectiveness We are seeking a Marketing Revenue Analyst with deep expertise in Salesforce Sales Cloud and Marketing Cloud , specializing in pipeline analysis, data extraction, and marketing performance optimization . This role will be responsible for tracking the impact of marketing efforts on pipeline growth, ensuring data accuracy, and driving strategic insights through advanced analytics and automation. Key Responsibilities: Monitor and analyze the marketing pipeline within Salesforce Sales Cloud and Marketing Cloud , tracking lead movement across all funnel stages. Develop and optimize dashboards in Salesforce and BI tools to provide real-time visibility into pipeline performance, conversion rates, and revenue impact. Extract, transform, and analyze data from Salesforce Sales Cloud and Marketing Cloud using APIs, data exports, and automation tools . Assess marketing effectiveness by analyzing campaign performance, attribution models, and lead conversion metrics within Salesforce. Monitoring data integrity across CRM, analytics, and marketing platforms, identifying data inconsistencies. Collaborate cross-functionally with marketing and sales teams to provide data-driven recommendations for improving pipeline efficiency. Support forecasting and goal setting , leveraging historical data and predictive analytics to establish benchmarks for lead generation and pipeline performance. Qualifications: Experience working with Salesforce Sales Cloud and Marketing Cloud , including data extraction, API usage, and automation . Strong analytical skills with expertise in CRM reporting, data visualization tools Power BI, or similar, Ability to play with raw/big data data using excellent skills in at least one of SQL/Python/Pyspark. Understanding of marketing attribution, lead scoring, and campaign tracking . Familiarity with pipeline forecasting models and revenue impact analysis. Ability to translate complex data into actionable insights for marketing and sales teams. Key Competencies >3 years of experience in BtoB marketing performance measurement Financial acumen Strong analytical mindset Knowledge of BtoB marketing. Experienced in analytical & performance reporting tools (PowerBI, Google Analytics) Collaborator and team player. Fluent in English Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing .

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Mandatory Skills: Python for Data Science. Experience8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Overview At Pepsico were redefining operational excellence with a data-driven mindset, and our Global IT team is at the forefront of this transformation. Our technology teams leverage advanced analytics to deliver predictive insights, enhance operational efficiency, and create unmatched consumer and customer experiences. Our culture is guided by our core values which define our mission to excel in the marketplace and act with integrity in everything we do. Were creating value with every initiative while promoting a sustainable and socially impactful agenda. Responsibilities Key Areas Predictive AI-based Operations ServiceNow Now Assist at Service Desk and Digital Experience Descriptive Analytics and Insights generation on ServiceNow Data Azure Cloud, Data Architecture and Azure ML Services for Global Service Desk, IT Service Management (ITSM) and Global Workplace Leadership & Stakeholder Management Responsibilities Predictive Ops and IT Experience ManagementLeverage your extensive domain expertise in ServiceNow ITSM, Service Desk Management, and End User Experience Management to identify areas for improvement and opportunities for AI and Predictive IT Ops applications, and building capabilities and optimizing Workplace Efficiency Azure Machine LearningLead the exploration and identification of Predictive and Forecasting use cases specifically tailored to the ServiceNow platform, focusing on maximizing business impact and user adoption using Azure stack. Utilize Azure Machine Learning to develop and deploy predictive models, ensuring integration with Azure services and seamless operationalization. Product ManagementPrioritize and manage the Digital Brain (i.e. AI use cases) product backlog, ensuring the timely delivery of predictive models, features, and improvements. Oversee the release of high-quality predictive solutions that meet organizational goals. Leadership and ManagementPartner with the leadership to develop a strategic roadmap for applying AI and Predictive capabilities across ITSM, Service Desk, and Digital Experience functions leveraging ServiceNow data. Stakeholder CollaborationCollaborate extensively with stakeholders to understand pain points and opportunities, translating business needs into precise user stories and actionable tasks. Ensure clear communication and alignment between business objectives and technical implementation Lead other team members in the different digital projects acting as a data science lead for the project. Act as a subject matter expert across different digital projects. Act as stream leader in innovation activities Partner with product managers in taking DS requirements and assessing DS components in roadmaps. Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Lead ML engineers working on industrialization. Coordinate work activities with Business teams, other IT services and as required. Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Experience in cloud-based development and deployment (Azure preferred) Set KPIs and metrics to evaluate analytics solution given a particular use case. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Experience in leading contractors or other team members Qualifications EducationBachelors or Masters degree in computer science, Information Systems, or a related field. ExperienceExtensive experience (12+ years) in ITSM / Service Desk Transformation / IT Operations arena with exposure to predictive intelligence, data architecture, data modelling, and data engineering, with a focus on Azure cloud-based solutions. Technical Skills: Knowledge of Azure cloud services, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks (ADB), and Azure Machine Learning. Domain KnowledgeDeep understanding of ServiceNow modules, specifically ITSM related to incident, problem, request, change management coupled with extensive knowledge of predictive analytics, data science principles. Understanding and visibility into IT Operations and Support services including, Global Workplace Services like End user compute, Workplace management solutions, Unified Communications and Collaborations is an added advantage. Analytical Skills: Outstanding analytical and problem-solving skills to translate extensive business experience into highly effective predictive intelligence solutions. CommunicationExceptional communication and interpersonal skills, honed through years of collaboration with diverse stakeholders and vendors. MethodologiesExtensive experience with agile methodologies and a record of working in highly dynamic and agile development environments. Project ManagementProven ability to manage multiple projects concurrently, prioritizing tasks effectively to drive impactful results. LeadershipDemonstrated leadership and management capabilities, with a track record of guiding teams to achieve strategic goals and fostering a collaborative team environment. Strong Knowledge in Statistical/ML/AI techniques to solve supervised (regression, classification) and unsupervised problems, with focus on time series forecasting. Experiences with Deep Learning are a plus. Functional Knowledge at least one of these IT Service Management (ITSM) IT Service Desk ServiceNow (ITSM Module) Digital Workplace Services Technical Knowledge Azure Machine Learning (AML) Mandatory Azure Databricks (ADB) Mandatory Azure Data Factory (ADF) Optional Azure Data Lake Storage (ADLS) Optional Certifications at least one of these Azure Fundamentals (AI-900) Azure AI Engineer Azure Data Scientist ITIL Foundation or above

Proven track record of successfully modeling, building, and putting in production machine learning applications. Good understanding of the tools explaining machine learning predictions. Expertise in Python and SQL. Knowledge of Git and collaboration principles. Experience in natural language processing is a plus. Good communication and presentation skills, with the ability to explain complex analytical concepts to people from other fields. Previous experience in corporate finance or debt markets is preferred. Knowledge of cloud services, with experience in AWS or Microsoft Azure being a plus. Role and Responsibilities: This AVP-Analytics & Modeling role is part of the Model Verification team within Credit Strategy & Standards, who will be responsible for verifying the implementation and quality assurance of Moodys proprietary predictive analytics models. The successful candidate will ensure that models are accurately implemented, perform as expected, and meet the highest standards of quality. Key responsibilities include: Manage the verification function of ML/AI models within Model Verification Team. Develop ML/AI model risk framework to be compliant with Moody s internal policy and procedure as well as regulatory expectation/requirements. Verifying the implementation of predictive analytics models against requirements and specification to ensure they are correctly coded and function as intended. Conducting quality assurance tests to validate model performance and accuracy. Collaborating with data scientists, technology teams, and other stakeholders to ensure models are robust and reliable. Developing and maintaining documentation for model verification processes and results. Communicating findings and recommendations to business stakeholders and decision-makers. Staying current with the latest research and technology developments in predictive analytics and model verification. Evaluating and selecting the best tools and IT architectures for model verification. Qualifications: Master s degree or Ph.D. in data science, computer science, statistics, mathematics, or a related quantitative field. 6-8 years of experience in machine learning, with a strong knowledge of algorithms and principles.

Job description Role & responsibilities Design and develop AI architectures that support high-performance, scalable AI and machine learning systems. Work with stakeholders to identify AI opportunities and translate business requirements into AI solutions. Lead the research and development of AI models, including natural language processing (NLP), computer vision, and deep learning techniques. Collaborate with data scientists, data engineers, and software engineers to develop, train, and deploy AI models. Ensure the efficient deployment of AI systems in production environments, ensuring robustness and scalability. Evaluate and recommend AI tools, frameworks, and best practices for effective AI development. Keep up to date with the latest advancements in AI and machine learning technologies and apply them to improve AI architecture. Conduct code reviews, troubleshoot, and optimize AI models and algorithms. Ensure compliance with data security, privacy, and ethical AI standards. Mentor and guide junior engineers and AI developers in best practices for AI model development. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. Preferred candidate profile Proven experience as an AI Architect, AI/ML Engineer, or a similar role. Team handling experience if having 5 years or plus experience. Excellent problem-solving skills with the ability to handle complex AI challenges. Strong expertise in machine learning algorithms, neural networks, and deep learning techniques. Strong communication skills to effectively interact with technical and non-technical stakeholders.

The Lead Data Scientist is responsible for designing, developing, and deploying advanced analytics solutions, including predictive and prescriptive outputs, insights, and visualizations to enable business users to make better data-driven decisions. The lead data scientist identifies and applies best analytical techniques to achieve business objectives, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection. The role requires a master's degree in a quantitative field plus 5+ years of experience of relevant work experience, expert knowledge of and experience using advanced statistics and machine learning methods, and a demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented. Interested candidates can share their updated resume at deepali.rawat@rsystems.com

Domain: Retail Banking / Credit Cards Location: Mumbai/ Bengaluru Experience: 3-5 years Industry: Banking / Financial Services (Mandatory) Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? Build and validate credit risk models , including application scorecards and behavior scorecards (B-score), aligned with business and regulatory requirements. Use advanced machine learning algorithms such as Logistic Regression, XGBoost , and Clustering to develop interpretable and high-performance models. Translate business problems into data-driven solutions using robust statistical and analytical methods. Collaborate with cross-functional teams including credit policy, risk strategy, and data engineering to ensure effective model implementation and monitoring. Maintain clear, audit-ready documentation for all models and comply with internal model governance standards. Track and monitor model performance, proactively suggesting recalibrations or enhancements as needed. What do you need to excel at? Writing efficient and scalable code in Python, SQL, and PySpark for data processing, feature engineering, and model training. Working with large-scale structured and unstructured data in a fast-paced, banking or fintech environment. Deploying and managing models using MLFlow, with a strong understanding of version control and model lifecycle management. Understanding retail banking products , especially credit card portfolios , customer behavior, and risk segmentation. Communicating complex technical outcomes clearly to non-technical stakeholders and senior management. Applying a structured problem-solving approach and delivering insights that drive business value. What are we looking for? Bachelors or masters degree in Statistics, Mathematics, Computer Science , or a related quantitative field. 35 years of experience in credit risk modelling , preferably in retail banking or credit cards. Hands-on expertise in Python, SQL, PySpark , and experience with MLFlow or equivalent MLOps tools. Deep understanding of machine learning techniques including Logistic Regression, XGBoost, and Clustering. Proven experience in developing Application Scorecards and behavior Scorecards using real-world banking data. Strong documentation and compliance orientation, with an ability to work within regulatory frameworks. Curiosity, accountability, and a passion for solving real-world problems using data. Cloud Knowledge, JIRA, GitHub(good to have)

Role Name Senior Associate Global Procurement – Data & Analytics Department Name Global Procurement Role GCF 4A Hiring Manager Name Sergei Brussovansky ABOUT AMGEN If you feel like you are part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us. ABOUT THE ROLE Role Description: Let’s do this. Let’s change the world. The Senior Associate Global Procurement Data and Analytics will support the Procurement Data & Analytics group that enables the organization to make informed and data-driven decisions. This role plays a crucial part in enhancing the efficiency, cost-effectiveness, and strategic impact of the digital function across the organization. This role is also responsible for supporting the maintenance of Procurement specific content utilized across several platforms including buying instructions, preferred supplier lists, spend taxonomy refresh among others. This role will be expected to provide analysis of performance across the organization, facilitate insightful reporting of key metrics, and support the assessment of new and special projects within the Digital Procurement function. This role will also support and participate in developing the analytics roadmap & assisting with driving project timelines and outcomes. Roles & Responsibilities: Procurement Data Management Drive the implementation of Procurement specific content utilized across multiple platforms including Preferred Supplier, Buying Portal, Policy Compliance, etc.. Support maintenance of process and governance for spend taxonomy refresh. Support the production and development of procurement dashboard enhancements, as required. Work with capability and process owners to provide data extracts, advise and enable strategy and process improvement initiatives (Buying Portal, Sustainability) Maintain transaction and master data including working with external providers to cleanse data. Data & Analytics Support : Support build phase of analytics use cases, including detailed data gathering, insights reporting, prioritization, integration, etc., with relevant stakeholders Understand and summarize advanced analytical techniques, including predictive analytics, machine learning, and artificial intelligence, to gain deeper insights into procurement data Support the development and distribution of ad-hoc and routine reporting data Support project / initiatives management including timelines, stakeholder identification, objective documentation, etc. Continuous Improvement & Compliance: Support continuous improvement efforts to ensure processes minimize manual effort associated with collecting and refreshing data Ensure that data and analytics practices within procurement adhere to relevant regulatory requirements Key Stakeholder Management :? Collaborate with across Procurement and cross-functional teams to gather requirements, identify root causes behind metrics, and generate insights Regularly engage with appropriate Technology and third-party stakeholders to drive execution activities of analytic use cases (i.e., building dashboards, etc.) Functional Skills: Must-Have Skills: Experience participating on cross-functional and/or global teams Internal stakeholder management and strong virtual team participation Advanced data/information and analytics management (including cycle times, KPI’s and SLA’s), continuous improvement expertise, and project management skills Strong analytical skills, including the ability to analyze large datasets, identify trends, and derive actionable insights Experience with procurement technology and software systems, such as procurement ERPs (Enterprise Resource Planning), spend analysis tools, and data visualization tools Soft Skills: Strong verbal and written communication skills Ability to work effectively with global, virtual teams Ability to navigate ambiguity High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Influencing and Change Management skills Basic Qualifications: B.S./B.A. Minimum of 2-4 years of relevant business experience Minimum of 1-2 years of multi-disciplined procurement experience?? EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Senior Manager Data Science What you will do Let’s do this. Let’s change the world. In this vital role you will lead the technical delivery of AI-driven data applications within our Data & Analytics team, with a key focus on Competitive Intelligence (CI). Lead product development of AI-powered Competitive Intelligence solutions, ensuring alignment with business needs. Define and execute data and AI product roadmaps, translating business requirements into actionable insights. Oversee data integration, AI model deployment, and cloud-based infrastructure (AWS preferred) to enhance market intelligence. Develop automated pipelines for gathering, processing, and analyzing competitive data from various sources. Ensure high-quality, scalable, and secure data solutions, leveraging modern engineering best practices. Establish Agile delivery processes and drive developer productivity metrics. Proactively resolve issues, mitigate risks, and optimize performance during sprints. Directly manage and mentor team members, fostering a culture of innovation and excellence. Maintain financial oversight and resource allocation for product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role will oversee the end-to-end development of data products that provide actionable competitive insights, working closely with engineers, data scientists, and product teams to ensure scalable, high-quality solutions. The ideal candidate has strong leadership skills, technical expertise in cloud-based AI solutions, and a strategic mindset for leveraging data to drive business decisions. Basic Qualifications: Master’s degree and 8 to 10 years of proven ability in Data Science, Information Systems, Computer Science, or related field. OR Bachelor’s degree and 10 to 14 years of proven ability in Data Science, Information Systems, Computer Science, or related field . OR Diploma and 14 to 18 years of proven ability in Data Science, Information Systems, Computer Science, or related field Preferred Qualifications: Experience in Competitive Intelligence data solutions, NLP, and predictive analytics. Strong understanding of data visualization and dashboarding for CI insights. Certifications in AWS, Agile, DevOps, or Scrum Master (CSM/PSM) preferred. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Role & responsibilities BA - APLD Analyst Experience level: 3 to 5 years Mandatory: US APLD, SQL, Excel, PowerPoint Good to have: Python, PySpark, Any BI tool, EU work exposure Preferred candidate profile Perks and benefits

We are looking for a data scientist who analyzes large amounts of raw information to find patterns that can help improve the business. We rely on our customers to create data products.

Skill required:Data Science - Predictive Modeling and Analytics Designation:Management Level - Team Lead/Consultant Job Location:Mumbai Qualifications:Any Graduation Years of Experience:7 to 11 years What would you do? You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. What are we looking for? Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure 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 Please note that this role may require you to work in rotational shifts

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for? SAP SuccessFactors SAP SuccessFactors Reporting Microsoft Excel Data Analysis Structured Query Language (SQL) Written and verbal communication Ability to manage multiple stakeholders Hands-on experience with trouble-shooting Problem-solving skills Strong analytical skills People Management A collaborative and customer-focused mindset. Ability to manage multiple priorities and deadlines. Excellent communication and presentation skills. Strong attention to detail and accuracy. Experience with predictive analytics and statistical modeling techniques. Familiarity with workforce planning and compensation analysis. Knowledge of compliance standards and HR data governance. Roles and Responsibilities: Collaboration & Stakeholder Engagement:Partner with HR teams (Talent Acquisition, L&D, Compensation & Benefits) to understand their data needs.Provide training to HR staff on how to interpret and use analytics tools and reports effectively. Compliance & Data Governance:Ensure HR data reporting complies with company policies and legal regulations (e.g., GDPR, EEOC).Establish best practices for data governance, accuracy, and security. Predictive Analytics & Workforce Planning:Use statistical methods to predict workforce trends such as attrition and hiring needs.Support workforce planning and budgeting processes with data-driven insights. HR Systems Integration:Collaborate with IT, HR, and external vendors to ensure seamless data integration across HRIS, payroll, and other HR platforms.Conduct audits to ensure the accuracy and integrity of HR data. Data Visualization:Design and maintain interactive dashboards using tools like Power BI, Tableau, or Excel for HR teams and leadership.Simplify complex data into user-friendly formats for non-technical audiences. HR Metrics & KPIs:Define and monitor key HR performance indicators (KPIs) aligned with organizational goals.Identify trends, risks, and opportunities within HR metrics Data Reporting & Analysis:Collect, analyze, and interpret HR data from multiple sources (HRIS, ATS, payroll systems, etc.). Develop and maintain standardized and ad-hoc HR reports and dashboards to track metrics such as turnover, hiring, diversity, engagement, and performance. Deliver actionable insights to HR leadership and business units. Qualifications Any Graduation

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Campaign Strategy Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designAs an Insights analyst you will play a pivotal role in driving data-driven marketing strategies. You will be responsible for analyzing marketing data, identifying trends, and providing valuable insights to optimize marketing campaigns, improve customer targeting, and enhance overall business performance. This role involves collaborating with cross-functional teams and deriving key insights from data and create a coherent story to answer business questions.Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for? Experience in CRM, Digital campaign and content analysis, insights & reportingWorking knowledge of SQL, Tableau, Power BI, Qliksense, Python or RGood knowledge of excelExperience in marketing analytics, data analysis, or a similar role.Strong problem-solving skills and attention to detail.Good communication skills with ability to manage client-facing responsibilitiesAbility to work with and lead large globally networked and virtual teamsAbility to wrangle data to generate meaningful insights to answer key business questionsAbility and experience in storytelling with data and create a coherent story to answer business questionsStrong experience on storytelling using PowerPointAn understanding of Marketing KPIsCertification in Adobe/Google Analytics or data visualization toolsUnderstanding of technologies & principles required for implementation of AB Test Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Analyze marketing data from various sources to identify key insights and trends. Transform data into actionable insights and recommendations to serve as valuable inputs for marketing strategies, campaign optimization, customer segmentation and data-driven business decisionsCreate and maintain regular reports and dashboards to track marketing KPIs and communicate performance to stakeholders.Monitor industry trends and competitor performance to identify opportunities in existing projects to cross-sell and expand delivery scopeUse data visualization tools to present insights in a clear and concise manner to both technical and non-technical stakeholders.Liaise with onshore and in-market analytics leads for project plan executionAnalyze trends in data to arrive at conclusions and ability to perform deep-dive analyses to study root cause for such trends Qualifications Any Graduation

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Help balance increased marketing complexity and diminishing marketing resources. Drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale through Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement and Media Growth Services.Role requires Digital Marketing Ads & Promotion creation/designAs an Insights analyst you will play a pivotal role in driving data-driven marketing strategies. You will be responsible for analyzing marketing data, identifying trends, and providing valuable insights to optimize marketing campaigns, improve customer targeting, and enhance overall business performance. This role involves collaborating with cross-functional teams and deriving key insights from data and create a coherent story to answer business questions.Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for? Experience in CRM, Digital campaign and content analysis, insights & reportingWorking knowledge of SQL, Tableau, Power BI, Qliksense, Python or RGood knowledge of excelExperience in marketing analytics, data analysis, or a similar role.Strong problem-solving skills and attention to detail.Good communication skills with ability to manage client-facing responsibilitiesAbility to work with and lead large globally networked and virtual teamsAbility to wrangle data to generate meaningful insights to answer key business questionsAbility and experience in storytelling with data and create a coherent story to answer business questionsStrong experience on storytelling using PowerPointAn understanding of Marketing KPIsCertification in Adobe/Google Analytics or data visualization toolsUnderstanding of technologies & principles required for implementation of AB Test Roles and Responsibilities: Analyze marketing data from various sources to identify key insights and trends. Transform data into actionable insights and recommendations to serve as valuable inputs for marketing strategies, campaign optimization, customer segmentation and data-driven business decisionsCreate and maintain regular reports and dashboards to track marketing KPIs and communicate performance to stakeholders.Monitor industry trends and competitor performance to identify opportunities in existing projects to cross-sell and expand delivery scopeUse data visualization tools to present insights in a clear and concise manner to both technical and non-technical stakeholders.Liaise with onshore and in-market analytics leads for project plan executionAnalyze trends in data to arrive at conclusions and ability to perform deep-dive analyses to study root cause for such trends Qualifications Any Graduation

The GN SONG Practice Join our team of Customer Sales & Service consultants who solve customer facing challenges at clients spanning sales, service, and marketing to accelerate business change. Practice:GN SONG I Areas of Work :Commerce and Sales | Level:Consultant | Location:, Gurgaon, Mumbai, Bangalore, Chennai, Pune, Hyderabad | Years of Exp :7-10 Years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challenges? Do you want to design, build, and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accenture Strategy & Consultings GN SONG practice. The functional team is aligned to the S&C Global Networks division of Accenture and works with clients across its marketing, sales and services department. As part of the team, you will provide transformation services across key offerings like Marketing Transformation, Commerce & Sales and Advanced Customer Engagement. These services help our clients become living businesses by optimizing their marketing and sales strategies and thereby optimizing their cost to serve, thus improving revenue per customer. You will work closely with our clients as Consulting Professionals who design, build and implement strategies that can help enhance business performance within the Pricing area. As part of the team, you will drive the following: Provide functional and implementation support for Pricing and CPQ Tools - PriceFx, CONGA, SFDC CPQ, Zilliant, PROS, Vendavo, SAP/Oracle Pricing, Callidus, infor Build robust pricing models using advanced analytics and artificial intelligence to track key pricing KPIs, build leadership dashboards in visualization tools. Work on assessing pricing processes in alignment with business imperatives and clients sales strategy through client data diagnostics and gap analysis including current state assessment and future state design, Vendor assessment and selection (PROS,VENDAVO) Work on designing and implementing pricing waterfall, pricing strategy , competitive pricing, pricing elasticity, margin analysis, pricing diagnostics, pricing catalogue, contract pricing of services, leading to positive impact on topline and bottom line for global B2B organizations Work on B2B Pricing Analytics (Exploratory Analysis & Reporting), target state analytics recommendation Work on recommending and deploying process improvements and enablers with best-in-class KPIs Work as an integral part of the clients sales organization, towards driving efficient and effective structure pricing and discounting approach. Work to facilitate involvement of key stakeholders and buy-in for change readiness. Bring your best skills forward to excel at the role: Experience working on a large-scale Business / Operational Transformation project Global exposure Proven ability to work creatively and analytically in a problem-solving environment Experience in global implementation, rollout and UAT support Deep expertise in Pricing Analytics, advanced analytics, visualization tools Structured approach to Problem solving. Excellent leadership, communication (written and oral) and interpersonal skills Comfortable working at the highest levels of client organizations and interacting closely with the "C" level executives in a range of environments. Desire to work in an information system environment Qualifications Your experience counts! MBA A minimum of 7 years of progressive industry and/or consulting experience in the Products/ Communications & High Tech/ Financial Services industry/ Resources Functional experience in Pricing of Services, products, parts and post sales services Deep functional and implementation experience on Pricing and CPQ Tools - PriceFx, CONGA, SFDC CPQ, Zilliant, PROS, Vendavo, SAP/Oracle Pricing, Callidus, infor Experience of delivering global B2B pricing transformation projects Pricing Analytics using advance anlaytics such as AI, ML, etc. Expertise in MS Excel, Macro, PowerPoint and exposure to Visualization Tools such as Power BI and Tableau Whats in it for you? An opportunity to work on with key G2000 clients Potential to 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 into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Networks a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Networks teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.

The Enterprise Architect S&CGN - Tech Strategy & Advisory - Enterprise Architecture - CP&G - Consultant Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network Areas of Work: Enterprise Architecture & Business Transformation Level: Consultant Location: Bangalore/Gurugram/Mumbai/Pune/Hyderabad/Kolkata | Years of Exp: 5-10 Explore An Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, you will proactively and holistically help and guide the enterprise leaders, product managers, product owners and distributed product delivery teams through transformation and optimization initiatives, supporting the formulation of business strategy, outcomes and capabilities. Your scope of activities could include helping the organization achieve targeted business outcomes related to growing revenue, optimizing costs, mitigating risks and improving sustainability. You focus on development of the business and IT strategy and enterprise architecture of the organization as a whole. You would be expected to: Facilitate alignment between business and IT, and across the democratized IT landscape Engage business and IT stakeholders, building and maintaining relationships Adapt to changing business and operating models Analyze trends and disruptions, and assess their impact on targeted business outcomes Tell stories to visualize the future state and trigger long-term planning Support various operating models such as project-centric and product-centric Communicate the value of enterprise architecture, and its portfolio of services Drive the evolution of the EA teams services and operating model Scope of Activities: As an Enterprise Architect, you will demonstrate competencies across four key dimensions: Support Formulation of Strategy and Guide Execution Work with business and leadership stakeholders to develop strategy Analyse business and operating models, market trends and the technology industry to determine their potential impact on the enterprise's business strategy, direction, and architecture. Provide perspective on the readiness of the organization to change and innovate through scenario planning techniques, and supports formulation of business strategy. Uses planning-driven, design-driven and learning-driven approaches to construct future- and current-state business models. Connects Strategy to Execution Facilitate business and IT alignment, connecting strategy to execution, through a collaborative, supportive and consultative manner, driving the organization's digital business strategies and balancing innovation and growth. Translate and guide execution of business strategy to achieve the organization's targeted business outcomes. Construct technology-enabled business and operating models and provides viable options and visibility into execution issues. Build and Maintain Relationships Build the EA value proposition and structure business engagement Build the EA value proposition, contributing to positioning the EA practice as an internal management consultancy, offering services and skills to support the development and execution of business strategy. Determine the relationship between people, processes, information, technology and other components of the enterprise operating model. Enable value-based messaging and manage cross-functional relationships Provide consultative advice, adapted to stakeholder context, to business leaders and organizational stakeholders who seek actionable recommendations to make investment decisions about the next business and operating model of their organization, using technology to make that change happen. Facilitate interaction with business leaders, product managers and product owners in a business-driven conversation over the risks and implications of the product decision to the line of business, business unit and greater enterprise. Orchestrate the Delivery of Business Outcomes Develop the business architecture Position the EA practice at the intersection of business and IT. Ensure that the EA practice is designed and enabled to formulate, translate and execute business strategy. Work with business architects and business leaders to identify key drivers and targeted business outcomes to derive useful business context. Bring alignment across business and IT Analyse the business' future-state capabilities and future (and current) IT environment to detect critical gaps and opportunities and recommend solutions for improvement to drive the business towards its targeted outcomes. Identify organizational requirements for the resources, structure and cultural changes necessary to support the enterprise architecture. Work with the IT leaders to find the right EA organizational design to drive business-outcomes. Support Solution Design and Delivery Support portfolio modernization and develop roadmaps Maintain the alignment, integration and coordination of architecture activities across different programs, projects and products as they evolve over time. Present gap analyses and/or IT investment roadmaps that reflect the status of the existing IT landscape, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Analyse the IT environment to detect critical deficiencies and recommend solutions for improvement. Develop an implementation plan for the enterprise architecture based on business requirements and the varying IT strategies for project-driven or product-driven delivery teams. Support solution design and delivery Develop and apply minimal viable architectures, which can include a set of standards, reference architecture patterns, principles and guardrails, through the EA governance model, which is informed by the business strategy and corporate governance. Facilitate a collaborative relationship across architecture community, product management and product delivery teams by providing freedom-in-a-box for decision making, with the minimal viable architecture forming the boundaries of the box. Collaborate with delivery teams to ensure consistency with the enterprise architecture, as well as to leverage shared technologies, tools and processes that impact speed to value and time to market. Collaborate with infrastructure teams to ensure consistency with the enterprise architecture, as well as to identify when it is necessary to modify the enterprise architecture. Read more about us. Qualifications Your experience counts! Masters or bachelors degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience. 4 or more years of business experience in strategic and operations planning and/or business analysis or experience as an enterprise architecture consultant. 4 or more years of experience in at least two disciplines, such as business, information, solution or technical architecture, application development, middleware, information analysis, database management or operations in a multitier environment. Technical Skills: Knowledge of business ecosystems, SaaS, IaaS, PaaS, SOA, APIs, open data, microservices, event-driven IT, data and predictive analytics. Familiarity with enterprise architecture tools, related graphical models, and frameworks. Insight into information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Understanding of various operating models such as project-centric and product-centric and also different types of agile principles, methodologies and frameworks, especially those designed to be scaled at the enterprise level. Awareness of existing, new and emerging technologies, and processing environments. Effective soft and interpersonal skills, including teamwork and facilitation. Strong consulting skills such as targeted communications and stakeholder management. Understanding of all components of enterprise architecture, business & IT principles and processes. Industry Experience: Functional understanding of end-to-end CPG value chain / capabilities Deep experience in at least 1 (or more) capability groups such as Consumer (Marketing), Customer (Sales), Manufacturing, Supply Chain, Distribution etc. Basic understanding of architecting (preferably including solution / technical architecture) for CPG clients Basic understanding on key platforms being used in the CPG industry like SAP S4, MS Dynamics, Kinaxis, BlueYonder, Siemen Teamcenter, Shopify, etc.