387 Statistical Modeling Jobs - Page 14

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role : Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders includingFront Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

We are looking for a highly skilled and experienced Senior Data Scientist with 3 to 8 years of experience to join our team in Bengaluru. The ideal candidate will have a strong background in applied mathematics, statistics, or data science, with excellent presentation and communication skills. ### Roles and Responsibility Support the Lead Data Scientist and team members in solving problems, analyzing data, and finding solutions. Lead the design, development, and deployment of advanced statistical methods, data science/ML, and other quantitative techniques to solve complex business problems. Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations. Oversee and drive the lifecycle of statistical and AI/ML decision support solutions and products, ensuring successful and timely delivery. Present data-driven insights and strategic recommendations to senior management and key stakeholders. Develop and maintain large-scale data systems, including data pipelines, architectures, and governance frameworks. ### Job Requirements Bachelor's degree in applied mathematics, statistics, applied mathematics, physics, economics, or other quantitative fields; a master's degree is preferred. Minimum 3 years of experience in Statistics, AI/Machine Learning/Data Science in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance, etc.). Solid understanding of applied statistical modeling, applied math modeling, and ML techniques, including clustering, classification, regression, dimensionality reduction, ensemble methods, and natural language processing. Proficiency in programming languages such as Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks. Experience leading a team of Data Scientists, Data Analysts, or Data Engineers. Excellent presentation and communication skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

Salary : 20 to 35 LPA Exp: 3 to 10 years Location :Bangalore/Pune/Gurugram (Hydrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) PD/LGD model development Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

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)

Strong programming skills in Python or R, with good knowledge in data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, seaborn) Knowledge of machine learning techniques algorithms. FMCG industry will be preferable. Required Candidate profile Hands-on knowledge on machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Proficiency in SQL for data extraction, integration, and manipulation to analyze large datasets. Perks and benefits To be disclosed post interview

Job Title: Data Scientist Location: Hyderabad Experience: 5-8 Years Required Skills: ML, DL, Python, TensorFlow, PyTorch, Keras, SQL Job Description: Design, develop, and deploy machine learning (ML) and deep learning (DL) models to address complex business challenges. Utilize Azure and other cloud-based platforms to build, scale, and optimize ML/DL solutions. Collaborate with cross-functional teams to gather business requirements and deliver data-driven insights. Communicate complex technical concepts effectively to non-technical stakeholders. Write high-quality, production-ready Python code using frameworks such as TensorFlow, PyTorch, and Keras. Knowledge of writing complex SQL. Demonstrate a strong understanding of machine learning algorithms, statistical modeling techniques, and Generative AI frameworks (e.g., GPT, GANs). Have experience with large language models (LLMs) and retrieval-augmented generation (RAG) models. Explore and implement Generative AI techniques, including natural language processing (NLP) and image generation, to create innovative solutions. Hold a Master s degree in Computer Science, Engineering, Statistics, or a related field. Possess extensive experience in deep learning and machine learning methodologies. Exhibit excellent knowledge of Python programming and data analysis tools. Demonstrate strong problem-solving and analytical skills. Stay current with the latest advancements in ML/DL and evaluate new technologies for potential adoption. Exhibit excellent communication and interpersonal skills for effective collaboration in a team environment.

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.

PRODUCT QUALITY SPECIALIST What you will do Let’s do this. Let’s change the world. In this vital role you will provide technical expertise and product leadership to the Product Quality (PQ) organization. As a product support staff in Quality, the Product Quality Specialist has responsibility for working with Product Quality Leaders (PQL), International Distribution Quality, Quality Control, Regulatory, Process Development, Quality Assurance and other groups on projects including support of product specifications, in-process controls, periodic and annual product review, and complaint resolutions. Amgen offers the opportunity to be at the interface between research, global development and manufacturing to ensure that our molecules become medicines. Many of the technologies we’re employing are not only new to Amgen but are new to the industry as a whole. Help us to pave new roads for helping patients. This role will support one or more late-stage and/or commercial biologics or synthetics products. The individual will provide project support to the relevant Product Quality Team (PQT) to implement and manage strategy for Quality to meet the Product Quality goals. The individual will be directly responsible for Product Quality related tasks including authoring and review of GMP and regulatory documents, execution of transactions in relevant GMP systems (document management system, complaint resolution system, data systems), and product data management, including stability, comparability assessments, periodic and annual product reviews (APR). In addition, the candidate will be expected to play a role in supporting Product Quality initiatives intended to ensure the overall product health. Support PQ work for late-stage and/or commercial biologic or synthetic programs, including actions required for the PQT, APR, specifications, comparability, stability programs, and PQ owned regulatory filing sections and responses to questions (RTQ) Support science and risk-based evaluation of complex process and product quality data such as in-process, release and stability data, complaints, method performance etc. What we expect of you Basic Qualifications and Experience: Doctorate degree in chemistry, biochemistry, biology, or a related pharmaceutical sciences field & 2 years of Quality, Operations, Scientific, or Manufacturing experience, or Master’s degree in chemistry, biochemistry, biology, or a related pharmaceutical sciences field & 6 years of Quality, Operations, Scientific, or Manufacturing experience, or Bachelor’s degree in chemistry, biochemistry, biology, or a related pharmaceutical sciences field & 8 years of Quality, Operations, Scientific, or Manufacturing experience or Preferred Qualifications: Must-Have Skills: Demonstrate proficiency in oral and written communication of complex information to Product Quality team members and peers Demonstrate proficiency in knowledge of cGMP and international regulatory expectations Strong scientific data management and organization skills with attention to detail Ability to deliver high quality results and adhere to project timelines using computer-based GMP Quality systems Ability to build and maintain multi-functional relationships and strong partnerships through written and verbal communication skills Good-to-Have Skills: Experience working virtually on a multi-functional team in a matrix environment across multiple time zones Expertise in computer applications such as Veeva, Spotfire, SHINY Expertise in MS Office (Word, Excel, PowerPoint, MS Teams) Soft Skills: Analytical and problem-solving skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully, react quickly to address urgent requests and meet challenging timelines Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills 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 for a career that defies imagination Objects in your future are closer than they appear. Join us. 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.

KDataScience (USA & INDIA) is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

please attach your upated resume if interested on the below role Job Title: Associate / Data Analyst / Sr. Data Analyst Function: Data & Analytics Location: Gurgoan DLF Cyber Hub Experience Required: 3to5 years for Sr. Data Analyst About the Role We are seeking highly motivated individuals for the position of Associate Data Analyst / Data Analyst / Sr. Data Analyst to join our global Data & Analytics team. You will work on high-impact projects, collaborating with cross-functional departments like Marketing, Merchandising, Technology, and Business Units to deliver analytical solutions that drive business performance. This is an excellent opportunity to work in a fast-paced, data-driven environment and make a measurable impact through insights and automation. Key Responsibilities Data & Insights Clean, process, and analyze large datasets to ensure data quality and consistency Identify trends and patterns to provide actionable business insights Create business requirement documents, use cases, user stories, and test cases for analytics projects Design and build impactful dashboards and data visualizations using BI tools Provide ad-hoc data analysis and reports for leadership Operational Excellence Improve data quality through automation and validation tools Develop user-centric dashboards and analytical solutions Benchmark industry practices to create business performance improvement strategies Stakeholder Management Collaborate with data engineers, consultants, and cross-functional teams throughout the analytics lifecycle Communicate insights and complex data concepts to non-technical stakeholders Prepare and maintain comprehensive documentation of analytics solutions Share key learnings across teams to enhance overall data maturity Desired Candidate Profile Education Bachelors Degree in Computer Science, Information Management, Statistics, or a related technical field Technical Skills Strong knowledge of SQL, Python, PySpark Experience with data visualization tools like Power BI, Tableau, Alteryx Understanding of statistical modeling, time series analysis Experience with relational (MySQL, MS SQL) and non-relational (MongoDB, DynamoDB) databases Familiarity with cloud platforms (Azure, AWS, GCP) for analytics Soft Skills Strong analytical and problem-solving skills Excellent communication and stakeholder management Agile and innovative mindset Focus on delivery excellence

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

All Levels Comms & Media Non-Networks Join our team in Strategy consulting to find endless opportunities and solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Comms & Media, Industry Consulting, S&C Global Network (GN) I Areas of Work: Non-Networks | Level: Manager & Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore, Pune, Hyderabad | Years of Exp: 8- 15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network (GN) team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This dynamic team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers. Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing.Globally, works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability.From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with client's business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role: Skills in one or more Telecom areas Should have an excellent knowledge on various BSS modules and Telco Journeys such as CRM, Order Management, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, Lead to Cash etc. Digital Transformation - Proven experience in Strategy, Innovation and Digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Cloud BSS - Determine the appropriate Cloud deployment model & design BSS journey to cloud strategies engineered to accelerate ROI and performance. Good to have knowledge of tools like AWS, Azure, SFDC, etc. Business Strategy - Leading/managing strategic initiatives and develop project plans, frame and conduct insightful analyses, identify solutions, and develop business cases and implementation plans for CSPs across the globe Transformation & Project Governance - Drive profitability and continued success though managing service quality, cost and leadership of the people delivering services across projects/ programs/portfolios of all scale Should have understanding of lean concepts and hands-on experience in delivering technology-driven business transformation projects using agile practices such as Scrum, Kanban, SAFe, etc. Experience in agile related tools like JIRA Confluence/Rally/MS Projects/VersionOne Certification profession in PSM/CSM/SAFe/ICP-ACC Skills in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters, Program Delivery Managers Business Analysis - Gather requirements from business and prepared requirement documents. Propose solutions to the client based on gap analysis for the existing Telco platforms. Analyse large data to conduct analysis and present insights with visualisations Process Improvement - Understand issues with the current processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Value Architect and Tracking - Create value driver trees to breakdown into value components of business objectives and value drivers Other required skills Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to senior client leadership and lead conversations Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong program management skills Cross-cultural competence with an ability to thrive in a dynamic environment Qualifications Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience At least 1-15 years of progressive business and/or telecom and consulting experience Knowledge of Telco BSS/OSS stack, its various components, and interactions / flows Strong telecom industry background experience and knowledge of BSS processes for B2C and B2B areas Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM certification is highly desirable Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing soft skills Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, telecom technology etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Certifications like CBAP, CSM, SPC, Prince 2 or PMP will be an added advantage For Experienced candidates, experience of team Management Coach and mentor team members in projects, on asset development, BDs and overall professional development 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 Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, .

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

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Insurance Analytics Title :- Ind & Func AI Decision Science Consultant Job location :- Bangalore/Gurgaon/Mumbai/Hyderabad/Pune/Chennai About S&C - Global Network :- Accenture 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. S&C - GN - Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. What you would do in this role Design, create, validate and refine prompts for Large Language Models (LLMs), for different client problems Employ techniques to guide and enhance model responses Develop effective AI interactions through proficient programming and utilization of playgrounds Utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements Consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Mentor junior prompt engineers in both technical and softer aspects of the role Qualifications Who we are looking for? 5+ years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems Bachelor's/Master's degree in Mathematics, Statistics, Economics, Computer Science, or related field Solid foundation in Statistical Modeling, Machine Learning algorithms, GenAI, LLMs, RAG architecture and Lang chain frameworks Proficiency in programming languages such as Python, PySpark, SQL or Scala Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders In-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure are highly desirable Prior Insurance industry experience is preferred

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Decision Science Specialist Job location:- Anywhere in India About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Qualifications Who we are looking for? 5+ years experience in data-driven techniques including exploratory data analysis, data pre-processing, machine learning, and visualization to solve business problems Bachelor's/Master’s degree in Mathematics, Statistics, Economics , Computer Science, or related field Solid foundation in Statistical Modeling, Machine Learning algorithms Advanced proficiency in programming languages such as Python, PySpark, SQL, Scala Experience implementing AI solutions for Insurance industry Experience in production-grade integration of AI/ML pipelines – either upstream (data modeling, engineering, management) or downstream (ML Ops in cloud or on-prem, UI integration with APIs, Visualization in Tableau/PowerBI) required; experience in full-stack implementations preferred Strong communication, collaboration and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Hands-on experience with Azure, AWS or Databricks tools is a plus Familiarity with GenAI, LLMs, RAG architecture and Lang chain frameworks is a plus

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Consultant / Sr Analyst Job location:- Bengaluru, Gurugram About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide regular coaching to juniors on advanced analytical concepts Qualifications Who we are looking for? Min 2-4 years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems Bachelors degree in Mathematics, Statistics, Economics , Computer Science, or related field MBA degree is mandatory Solid foundation in Statistical Modeling, Machine Learning algorithms, GenAI Proficiency in programming languages such as Python, PySpark, SQL or Scala Strong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders, as well as to engineer high-quality prompts Prior Insurance industry experience is mandatory

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- S&C GN AI - Insurance Title:- Decision Science Specialist Job location:- Anywhere in India About S&C - Global Network:- Accenture Global Network Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain from Underwriting to Claims to Servicing and Enterprise Functions to develop analytic capabilities from accessing and reporting on data to predictive modelling to Generative AI that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work.What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models including GenAI, for different client problems Develop functional aspects of Generative AI pipelines, such as information retrieval, storage techniques, and system optimizations across services for a chosen cloud platform such as Azure or AWS Interface with clients/account team to understand engineering/business problems and translate into analytics problems that shall deliver insights for action and operational improvements consume data from multiple sources and present relevant information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Qualifications Who we are looking for?2-4 years experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problemsBachelors/Masters degree in Mathematics, Statistics, Economics , Computer Science, or related fieldSolid foundation in Statistical Modeling, Machine Learning algorithms, GenAI, LLMs, RAG architecture and Lang chain frameworksProficiency in programming languages such as Python, PySpark, SQL or ScalaStrong communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders, as well as to engineer high-quality promptsIn-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure/ AWS are highly desirablePrior Insurance industry experience is preferred

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Sr Analyst / Analyst Job location:- Gurugram, Bengaluru About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models for different insurance problems Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and translate them into data-driven solutions that deliver insights for action and operational improvements Consume data from multiple sources and present information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide coaching to junior team-members on advanced analytical concepts Qualifications Who we are looking for? 2-4 years of experience in data-driven techniques including exploratory data analysis and data pre-processing & machine learning to solve business problems for the Insurance Industry Bachelor’s degree in mathematics, statistics, economics, computer science or related fields Strong foundation in Statistical Modeling, Machine Learning algorithms including k-means clustering, linear & logistic regression, decision trees and others Proficiency in programming languages such as Python, SQL, PySpark with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Good communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Prior experience in the Insurance industry is mandatory

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- Resources Title:- Data Science Associate Director Job Location Bangalore/Gurgaon/Mumbai About S&C - Global Network :- Accenture 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 As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role The ideal candidate shall be, Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels Strategic mindset, with the ability to drive business growth and identify new opportunities Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets. Qualifications Who we are looking for? Qualifications and Experience Bachelors/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field 15+ year(s) experience as a Data Science with a focus on cloud services. Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design. Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings. Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred. Understanding of programming languages such as Python, PySpark, SQL, or Scala. Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring. Solid understanding of data integration, data modeling, and data warehousing concepts. Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities; Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. High motivation, good work ethic, maturity and personal initiative. Strong oral and written communication skills. Empathy, adaptability and emotional intelligence. Close attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams.

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities; Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. High motivation, good work ethic, maturity and personal initiative. Strong oral and written communication skills. Empathy, adaptability and emotional intelligence. Close attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams.

Are you passionate about solving complex risk challenges?Do you thrive in a fast-paced environment where data-driven insights influence multi-million-dollar decisions? We are seeking a highly motivated and analytical Reinsurance Treaty Catastrophe Modeler to join our dynamic and growing team In this role, you'll play a pivotal part in shaping our Insurance Linked Securities (ILS) portfolio, using cutting-edge catastrophe models to assess risk and profitability This is an exciting opportunity for an experienced catastrophe modeler who wants to make a real impact Your Impact :Analyze various structures like Catastrophe Bonds (CAT Bonds), collateralized reinsurance (CRI), size cars, Industry Loss warranties (ILW), parametric insurance for pricingAnalyze and model complex reinsurance treaties (e.g, proportional, non-proportional, retrocessional) using industry-standard catastrophe models (e.g, Verisk Touchstone/Touchstone Re, RMS Risk Link)Prepare, validate, and quality-assure exposure data for input into catastrophe models, ensuring accuracy and completeness Execute catastrophe models, interpret results (e.g, exceedance probability curves, average annual loss, return periods), and identify key risk drivers Participate in the validation and enhancement of catastrophe models, including model parameterization and calibration Stay abreast of industry trends, new modeling techniques, and emerging risks Participate in projects to help shape and define the company's view of risk for natural catastrophe perils Successful Candidates Will Have:3+ years of catastrophe modeling experience in the reinsurance industry Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Engineering, or a related quantitative discipline Proficiency in at least one major catastrophe modeling platform (Verisk/RMS) Strong understanding of reinsurance structures, treaty pricing, and underwriting principles Advanced analytical skills, including experience with SQL (preferred), Python, for data manipulation and analysis Strong grasp of statistical modeling concepts (return periods, probability distributions, extreme value theory)

Overview Engagement Manager is the single point of accountability for all aspects of the NRM capability for the Sector (Europe/APAC/AMESA/LATAM/PFNA/PBNA) This individual is responsible for building, delivering, standardizing, simplifying, and optimizing NRM products and services with the aim of reducing costs, increasing compliance, and improving the customer / user experiences This individual will implement the long-term NRM strategy for PepsiCo, transform existing ways of working, and leverage the power of next generational digital tools and technologies to enable the capabilitys growth aspirations in the sector Utilises advanced analytical skills and tools to shape our NRM, marketing and business strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives. This role is instrumental in maximizing the ROI of our events and marketing efforts, ultimately driving sustainable growth and success for the organization Responsibilities Implements the long-term NRM strategy, roadmap, and operating model for the NRM capability in the sector for 20+ gold standard NRM products / services across all PepsiCo Sectors (AMESA, APAC, LATAM, Europe, PBNA, and PFNA); (CONSULTING AND INFLUENCING) Periodically reviews and updates standards based on changes in the industry and PepsiCo capabilities Leads the design, development, and rollout of analytical NRM products and services (e.g., Brand Ladder Playbooks, Price Elasticity Tools) that transform existing ways of working, improve user experiences, and simplify decision-making to solve specific business problems for the sector Oversees the rollout, adoption, and change management activities associated with the GBS-supported NRM products and services; liaises with Sector and BU leaders and Change Management team as required Coordinates with Finance teams and other Commercial Sales team to determine the impact of NRM products & services on the overall business (e.g., revenue uplift, growth) Manages the budget and prioritizes investments as per the capabilitys short-term and long-term goals for the Sector and Cordinates with Finance teams and other Commercial Sales team to determine the impact of NRM products & services on the overall business (e.g., revenue uplift, growth) Managing and influencing senior stakeholders (i.e. this role will need to prepare written updates for very senior audiences, and support the LG1 Manager in presenting to and influencing stakeholders at a range of levels) (EXECUTING and INFUENCING) Leverage business performance explanations from teams around the sector to incorporate considerations beyond data into insights across Strategy, analytics and Reporting Develop robust explanations of business performance, drivers, and optimization opportunities which lead to insight led decision making Flawless delivery to PepsiCo Corporate leadership team on clear Pricing and Promotion indicators Provide responses to ad-hoc follow-ups when double-click required with tables/charts/stories using relevant data Lead development of advanced analytics capability growth executed by advanced analytics CoE team Identify, assess and scale advanced analytical methodologies and frameworks to identify key NR Drivers for PepsiCos Categories, as a growth catalyst to prioritize and enable AOP/ICP Planning Develop, socialize and implement capability roadmap which drives rigour and provides insight Provide strategic portfolio and initiative pricing recommendations based on robust analysis of external data and internal financial data Qualifications Extensive experience in analytics, especially in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior. Proficiency in using analytical tools and methodologies to extract actionable insights from post-event data Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector, with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales. Familiarity with industry-specific challenges and trends Experience in building Pricing & Promotion solutions such as Price Gap, Promo ROI, Elasticity engines, etc. Proficiency in creating and implementing solutions that drive revenue optimization Excellent analytical skills with the ability to translate complex data into actionable solutions and processes. Capable of enabling data-driven decision-making in the context of post-event analysis Advanced proficiency in Microsoft Excel and a strong command of PowerPoint. Ability to quickly learn various in-house software applications for data analysis and reporting In-depth understanding of statistical modeling, including regression analysis and elasticity computations. Proficiency in conducting simulations and building/automating models that support pricing and promotions decisions Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner, facilitating data-driven decision-making within the organization