1830 Data Mining Jobs - Page 40

SUMMARY The Data Analyst role supports the Structured Data Services Team Lead on active projects. This involves understanding client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting relevant data. The Data Analyst reports any difficulties and observed patterns to the Senior Data Analyst II or Team Lead. Meeting deadlines while maintaining high standards of accuracy and quality is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts content based on project specifications using Excel and other file types Collaborate closely with the Team Lead to receive the latest updates and instructions on projects and develops relationships within immediate team Performs data cleansing or format extracted data using formulas, manual methods, or programming tools Conducts audits on assigned projects Follows established procedures and methods to solve problems Identifies the correlation, issue and pattern through data mining Provides data into comprehensible structures of organizing and transforming information Identifies the timing and indicators of data access based on the analysis Responsible for integrity in analysis, quality on the projects Manages multiple projects daily Meets project targets consistently May perform other duties as assigned by management SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Experience with Macro coding, preferred Knowledge and/or experience with a common scripting or programming language, including Powery Query and Python will be added advantage Strong verbal and written communication skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred Basic understanding of ETL frameworks JOB REQUIREMENTS Bachelors Degree in Computer Science, Mathematics, Information Management, or Statistics and 0-1 years of Data Analyst experience or related experience. Ability to work greater than 40 hours per week as needed

Our Purpose Title and Summary Economic Analyst, Eastern Europe, Middle East and Africa (EEMEA) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in data analytics and economic research for the EEMEA region. This individual will report to the SVP, Chief Economist, for EEMEA at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on EEMEA economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelors degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required.

Indus Towers Limited is looking for IT - Data Analyst - Team Member to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Brand Manager: To facilitate the rapid growth of the Zoop (Kid\u2019s Watches) brand by optimizing brand communications, developing product strategies based on consumer needs, and activating channel levers. Key Job Expectations: Brand Content and Social Media Management- Collaborate with creative agencies to create collaterals, content, and product shoots that align with the brand vision and marketing plan. Coordinate with media agencies to place and communicate content on digital and social media channels. Build and engage social media communities. Ensure accurate product listings across all platforms and media channels. Online Performance Marketing- Work with agencies to provide input in developing the marketing calendar, budget, and plan for the year. Design reach, consideration, and conversion campaigns with digital media agencies, marketplace platforms, and quick-commerce platforms. Evaluate the performance of branding initiatives and campaigns compared to the plan, and make necessary adjustments. Product Management- Conduct marketing and customer research to understand brand positioning, trends, insights, gaps, and strengths. Assess and shortlist relevant products for the category and sales channels. Track the product calendar and coordinate with the supply chain and field team to ensure timely launches in the market. Regularly monitor brand inventory and develop strategies for stock liquidation. On-Ground Channel Strategy- Periodically assess brand positioning, penetration, and display hygiene in on-ground retail channels through channel and partner interactions. Identify opportunities to highlight the brand and products in stores, and propose visual merchandising corrections based on channel feedback. Develop a below-the-line (BTL) calendar to drive traffic, consumer engagement, and sales. Licensed/Collab Business Management- Identify new licensing opportunities based on consumption patterns and trends. Coordinate contract signing and execution. Effectively utilize advance royalty by planning for product penetration in the market. Identify collaboration opportunities with licensor media handles and marketplace platforms in line with brand objectives. Work Experience Education: MBA from a prestigious university with a specialization in marketing Experience: 3 to 5 years of in the marketing department within the retail or fashion industry. Knowledge: Lifestyle and Fashion Industry - Trends, Business, and Ways of Working. Experience in Marketing (Communication, Product, and Design). Proficient in data mining and analysis, with advanced skills in Excel. Behavioral Skills: Business Acumen Entrepreneurial Spirit Naturally Innovative Responsibility Inquisitive Proactive Problem-Solver Diligent and Detail-Oriented in Approach.

0px> Who are we? In one sentence This is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data. What will your job look like? You will be responsible for and perform end-top-end data-based research. You will craft data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, demonstrating knowledge and a broad understanding of E2E business processes and requirements. You will define the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership. You will identify and analyze new data analytic directions and their potential business impact to determine the accurate prioritization of data analytics activities based on business needs and analytics value. You will identify data sources, supervises the data collection process and crafts the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. You will construct data models (algorithms and formulas) for required business needs and predictions. You will present results, including the preparation of patents and white papers and facilitating presentations during conferences. All you need is... Ph.D. in Computer Science, Mathematics or Statistics 4 years experience in tasks related to data analytics Knowledge of telecommunications and of the subject area being investigated - advantage Knowledge in the product (ACC or other) application knowledge and configuration knowledge Knowledge in BSS, billing, Telco and the business processes Familiarity in the Telco Networking - mobile, landline, cable TV, Internet knowledge in Oracle SQL Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Software Engineering Senior Analyst - HIH - Evernorth Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position, you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for exceptional software engineers/developers in our PBM Plus Technology Organization. This role will require a Java Developer completing delegated tasks assigned by a supervisor in the Engineering job family and will work on developing RESTful, Microservices and deploying in on prem and/or AWS infrastructure. They are expected to work closely with Subject Matter Experts, developers, and business stakeholders to ensure that application solutions meet business/customer requirements. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems and data mining tools. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing SQL queries to check the data in databases such as Oracle, MongoDB Working knowledge of GIT Repository, CICD (Jenkins) & Splunk. Experience in cloud technology such as PCF, Open Shift, AWS highly desirable. Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: High School diploma or equivalent required. College degree preferred, but not required. 4+ years of experience in developing Java services or API using Spring Boot. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations About Evernorth Health Services

SUMMARY The Data Analyst role supports the Structured Data Services Team Lead on active projects. This involves understanding client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting relevant data. The Data Analyst reports any difficulties and observed patterns to the Senior Data Analyst II or Team Lead. Meeting deadlines while maintaining high standards of accuracy and quality is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts content based on project specifications using Excel and other file types Collaborate closely with the Team Lead to receive the latest updates and instructions on projects and develops relationships within immediate team Performs data cleansing or format extracted data using formulas, manual methods, or programming tools Conducts audits on assigned projects Follows established procedures and methods to solve problems Identifies the correlation, issue and pattern through data mining Provides data into comprehensible structures of organizing and transforming information Identifies the timing and indicators of data access based on the analysis Responsible for integrity in analysis, quality on the projects Manages multiple projects daily Meets project targets consistently May perform other duties as assigned by management SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Experience with Macro coding, preferred Knowledge and/or experience with a common scripting or programming language, including Powery Query and Python will be added advantage Strong verbal and written communication skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred Basic understanding of ETL frameworks JOB REQUIREMENTS Bachelors Degree in Computer Science, Mathematics, Information Management, or Statistics and 0-1 years of Data Analyst experience or related experience. Ability to work greater than 40 hours per week as needed DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties and skills required personnel so classified. WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of this job. TERMS OF EMPLOYMENT Salary and benefits shall be paid consistent with Arete salary and benefit policy. DECLARATION The Arete Incident Response Human Resources Department retains the sole right and discretion to make changes to this job description. EQUAL EMPLOYMENT OPPORTUNITY We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better. Arete Incident Response is an outstanding (and growing) company with a very dedicated, fun team. We offer competitive salaries, fully paid benefits including Medical/Dental, Life/Disability Insurance, 401(k) and the opportunity to work with some of the latest and greatest in the fast-growing cyber security industry. When you join Arete You ll be doing work that matters alongside other talented people, transforming the way people, businesses, and things connect with each other. Of course, we will offer you great pay and benefits, but we re about more than that. Arete is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Arete, where experience matters. Equal Employment Opportunity We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

Extract daily sales/coverage/assortment etc data from Power BI and publish pre-defined trackers Complex Data analysis pertaining to business needs Cleaning, data mining, and managing repository of 5L+ outlets Liaison with region MIS and 3rd Party regional coordinators to update tagging and update relevant databases Proficient with Power BI, Advanced Excel

Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Websitehttps://www.kotak811.com/

The Health, Safety, and Environmental (HSE) Analyst supports the implementation of Cummins HSE Management System (HSEMS) and ensures adherence to applicable environmental and safety regulations. This role is especially critical in the setup of new facilities (such as E-heater and EGPs plants), requiring direct involvement in HSEMS implementation and regulatory compliance. The analyst assists in risk assessment, compliance monitoring, incident investigation, and KPI tracking to promote a safe and sustainable work environment. Key Responsibilities: Support the implementation and maintenance of HSEMS at the new facility. Ensure control of significant HSE aspects and risks and contribute to the achievement of HSE objectives and targets. Assist in managing compliance programs (e. g. , stormwater, air and water quality, waste management). Conduct site inspections, gather emissions and discharge data, and manage waste accumulation areas. Support site regulatory compliance, including employee training, incident reporting, recordkeeping, and documentation. Assist with internal and external audits, including addressing audit findings and updating HSEMS documentation. Collect and analyze site HSE KPIs and contribute to HSE data reporting at the site, business unit, and corporate levels. Support implementation of engineering and administrative controls to reduce safety risks and environmental impact. Qualifications: Education : Bachelor s degree in Engineering is mandatory. A diploma in industrial safety (ADIS) is required. Certifications (Preferred) : NEBOSH International General Certificate (IGC) ISO 14001 / ISO 45001 Lead Auditor Certification Certified Safety Professional (CSP) Skills and Competencies: Health, Safety and Environmental Management Systems : Apply international standards and ensure effective HSEMS implementation. Regulatory Compliance : Interpret and manage legal requirements; monitor operational compliance. Incident Investigation & Root Cause Analysis : Conduct evidence-based investigations with accurate root cause analysis and corrective actions. Risk Assessment : Identify and prioritize risks, enabling selection of appropriate control measures. Performance Measurement : Develop and analyze HSE KPIs to evaluate trends and inform strategic goals. Communication : Communicate effectively with stakeholders at all levels; adapt messages for different audiences. Planning and Prioritization : Align tasks and resources with organizational goals and deadlines. Work Injury/Illness Management : Document and manage injury and illness cases in line with Cummins and legal requirements. Data Mining and Visualization : Use data exploration techniques to extract insights and guide decision-making. Value Differences : Promote inclusivity and respect for diverse perspectives and cultures. Experience: Required : 6-8 years of hands-on experience in Health, Safety, and Environment (HSE) roles, preferably in a manufacturing or industrial setup. Preferred : Prior experience in greenfield project HSE setup and auditing will be an added advantage.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Description Empower India Data Science team is looking for a Sr. Analyst who is capable of producing in-depth analysis that suggests strategic and operational changes. The ideal candidate will understand the business problem, collect and study relevant data and able to produce meaningful and actionable insights that helps to solve the business problem in hand. Role Responsibilities: Understand the complex business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Handle the project end-to-end independently Able to present the analysis and results to the senior stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance Required Experience: 2-6 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Handling end-to-end projects independently Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI. Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Co-ordinate with different teams to be able to gather required information Strong written and verbal communication skill and be able to present the results to the senior stakeholders Good understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Excellent team player This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

Job Title: Sr Specialist Experience: 8-10 years Location: Gurugram Position type: Full time Timing: 1pm 10pm (IST) What this job involves: As a Brand Analyst, you will be responsible for monitoring and evaluating the overall health of our company's brand. You'll use data analysis techniques to provide insights to stakeholders through a dedicated dashboard that tracks key metrics such as customer sentiment, brand awareness, market share, and competitive landscape. Your work will inform strategic marketing decisions to maintain and enhance the brand's reputation. Key Responsibilities: Data Collection and Integration Gather data from various sources including social media, customer surveys, market research, sales data, and web analytics Create a comprehensive view of brand perception Metric Development and Analysis Define and calculate relevant brand health metrics such as brand sentiment, customer loyalty score, brand advocacy, and share of voice Identify patterns and trends in brand health data over time Conduct competitive analysis to track competitor brand performance Dashboard Design and Visualization Build and maintain an interactive dashboard using data visualization tools Present key brand health metrics clearly and effectively to stakeholders Reporting and Insights Generate regular reports and presentations to communicate brand health insights Provide actionable recommendations for brand strategy adjustments Present complex data insights to diverse audiences Trend Analysis and Forecasting Analyze brand performance data and predict future trends Identify opportunities and potential threats in the market Sounds like you To apply, you need to be: Strong proficiency in data manipulation, statistical analysis, and data mining techniques Experience with tools like SQL, Python, and R Ability to create compelling data visualizations using tools like Tableau or Power BI Understanding of marketing principles, branding concepts, and customer behavior Excellent written and verbal communication skills Familiarity with web analytics platforms, social listening tools, and CRM systems Critical thinking skills to interpret data within a marketing context Ability to work independently and as part of a team Scheduled Weekly Hours: 40

Skill required: Delivery - Business Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIAs a Data Analyst, you will play a crucial role in extracting, analyzing, and interpreting complex data sets to uncover meaningful patterns and trends. You will collaborate with various teams to provide actionable insights that support strategic decision-making. What are we looking for Data Extraction and Cleaning Business Insights Digital Marketing Analytics Data Analysis Adaptable and flexible Written and verbal communication Commitment to quality Ability to work well in a team Agility for quick learning Data Visualization Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The Business Intelligence & Analytics (BI&A) function is part of CF Operations under Accenture Operations and is engaged in an ongoing program to support Markets and Services. BI&A team member is part of the team that provides operations support to Markets and Services leadership. He/she will be responsible for delivering data driven analytics to Market & Services leadership. The Analytics and Modeling Senior Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics.At their core, Analytics and Modeling Senior Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one. What are we looking for QUALIFICATIONSAny graduate degree (or equivalent) required, full time MBA preferred4 6 years of post-education experience, with at least 4-5 years of relevant experienceStrong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BIStrong Knowledge of SQL, SSRS, Access, VBA will be highly preferredTOP REQUIRED BEHAVIORS AND SPreferably handled projects in the areas of data visualization and analyticsGood understanding of dashboards and scorecards for leadership review Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platformsAbility to multitask to meet deadlines and quality expectations Analytical/problem solving skillsAccuracy and attention to detail; prioritizes and plans work activitiesGood communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholdersExperience in handling global clients preferredWilling to go the extra mile for the team when requiredAbility to work under minimal supervision and guidanceWillingness to learn and deliver with a positive attitude Roles and Responsibilities: ACCOUNTABILITIESBusiness operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadershipData VisualizationReporting & AnalyticsDriving adoption of Standard Accenture toolsWorking in an agile way on demand change request, real time support for ad hoc reporting requestsRESPONSIBILITIESAct as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvementsProvide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysisUse latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to businessIdentify process improvement opportunities to develop effective business solutionsDevelop process documentation, communications, and reports required to support leadershipFoster relationships and partner with internal teams, and external business functions to deliver business results Work with different stakeholders to gain input needed to drive key business discussions /outcomesBuild functional and technical skills foundationParticipate and contribute to regular team discussions and process improvement initiativesTake responsibility for personal skill development and career management Qualification Any Graduation

Roles and Responsibilities Conduct statistical analyses using Python, R, SAS, SQL, and other relevant tools to solve business problems. Develop predictive models and machine learning algorithms to drive business insights. Collaborate with cross-functional teams to design and implement data-driven solutions. Provide expert advice on statistical modeling, data mining, and analytics best practices. Stay up-to-date with industry trends and advancements in statistics and mathematics.

Job Title:GN - SC&O - S&P Spend Analytics Senior Data Scientist Management Level:8 Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accentures spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelors or Masters degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | AccentureQualification Experience:9+ years Educational Qualification:Bachelors or Masters degree

The IT Strategy 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 I Areas of Work: Tech M&A, Digital, Cloud, IT Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre 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 Technology Strategy & Advisory Practice is a part of Accenture Strategy 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 IT Strategy , 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, these are some of the initiatives you will drive: Transaction Advisory and Strategy (Tech): Lead and support M&A transactions (Carve Outs / Separation / Mergers/ Integrations) with a focus on the technology sector, including IT infrastructure, software, cybersecurity, cloud computing, SaaS, AI, and emerging tech trends. IT Due Diligence and Financial and Financial Analysis: Manage and lead IT due diligence processes, evaluating financial, operational, technological, and legal aspects of technology companies / organizations being considered for acquisition. Industry & Technology Infrastructure Assessment: Understanding of client technology operations to grasp the context of global, industry, economic, technology, and social trends Draw Roadmaps for IT implementations: Pinpoint the right data-driven Digital, IT or Cloud technology strategy solutions for practical implementation road maps Monitor Digital, IT & Cloud Strategy: Managing change, monitoring, and gauging processes, and taking remedial steps Bring your best skills forward to excel in the role: Leverage your deep experience across technology strategy areas such as tech M&A Advisory, IT Separation / Integration Planning / Execution, Digital & Technology Strategy, Operating Model Design, Agile Operating Model Design, Workforce Transformation, Sourcing Strategy, IT Shared Services Strategy, Process Transformation, Value case/ business case formulation, Enterprise Architecture and Application Portfolio Strategy Excel as a long-term trusted advisor and partner by providing thought leadership and profound knowledge of market trends. Understand and deploy the key value drivers of a business , how they impact the scope and approach of the engagement Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. The rise of forerunners Recent Blogs Qualification Your experience counts! MBA from a tier 1 institute Your prior experience- 5 8 years of M&A Advisory, Strategy Consulting or Investment banking experience Experience in the example offerings:M&A advisory (tech), Separation planning & execution, Integration Planning & Execution, IT Due Diligence, Experience in at least 2 of the example offerings:Tech Strategy, Tech Operating Models, IT Shared Services Strategy, Cloud Transformation, Industry & New Technology, Technology ROI/Cost Take Out, Modern Architecture, Data-Driven Enterprise 3+ years of experience in financial modeling, valuation analysis, scenario testing and writing business cases (quantitative and qualitative) to support strategic business initiatives, process improvement initiatives, or IT transformation 2+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing technology strategy recommendations Good knowledge of technology and enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Exposure to industry frameworks e.g. TOGAF, DODAF desirable but not essential Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: www.accenture.com About Accenture Strategy & Consulting: https://www.accenture.com/us-en/Careers/capability-network Accenture Capability Network | Accenture in One Word come and be a part of our team.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Scientist and Analytics Level 9:Consultant Ind & Func AI Decision Science Consultant S&C Management Level:09 - Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills:GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting 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 About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 8 years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI 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 roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

The IT Strategy 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 I Areas of Work: Digital, Cloud & IT Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre 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 Technology Strategy & Advisory Practice is a part of Accenture Strategy 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 IT Strategy , 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, these are some of the initiatives you will drive: Industry & Technology Infrastructure Assessment: Understanding of client technology operations to grasp the context of global, industry, economic, technology, and social trends Draw Roadmaps for IT implementations: Pinpoint the right data-driven Digital, IT or Cloud technology strategy solutions for practical implementation road maps Monitor Digital, IT & Cloud Strategy: Managing change, monitoring, and gauging processes, and taking remedial steps Bring your best skills forward to excel in the role: Leverage your deep experience across technology strategy areas such as Digital & Technology Strategy, Operating Model Design, Agile Operating Model Design, Workforce Transformation, Sourcing Strategy, IT Shared Services Strategy, Process Transformation, Value case/ business case formulation, Enterprise Architecture and Application Portfolio Strategy Excel as a long-term trusted advisor and partner by providing thought leadership and profound knowledge of market trends. Understand and deploy the key value drivers of a business , how they impact the scope and approach of the engagement Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. The rise of forerunners Recent Blogs Qualification Your experience counts! MBA from a tier 1 institute Your prior experience- 5 8 years of Strategy Consulting experience at a consulting firm Experience in at least 2 of the example offerings:Tech Strategy, Tech Operating Models, IT Shared Services Strategy, Cloud Transformation, Industry & New Technology, Technology ROI/Cost Take Out, Modern Architecture, Data-Driven Enterprise 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives, process improvement initiatives, or IT transformation 2+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing technology strategy recommendations Good knowledge of technology and enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Exposure to industry frameworks e.g. TOGAF, DODAF desirable but not essential Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: www.accenture.com About Accenture Strategy & Consulting: https://www.accenture.com/us-en/Careers/capability-network Accenture Capability Network | Accenture in One Word come and be a part of our team.

Company Description: As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients most valued asset-management partner. With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether youre producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we re looking for unique voices to help lead us forward. If you re ready to challenge your limits and build your future, join us. Describe the role: We are seeking an exceptional individual to support ongoing enhancements to the Vendor Risk Management program through data management, documentation, and engagement with the program framework, processes, and platforms. The VRMP Analyst will be responsible for executing on goals related to process enhancement and vendor inventory enrichment projects primarily through day-to-day support tasks. These tasks will include managing vendor data and inventory and supporting the annual vendor due diligence questionnaire exercise. This role would include configuring ProcessUnity, sending the questionnaires and tracking responses. The candidate will also look for opportunities to make improvements to our operational processes. Describe the applications and business or enterprise functions the role supports: AB has a long history of adhering to and promoting strong professional ethics and is committed to conducting our business according to the highest standards of honesty and fairness. Assessing and managing Vendor risk is key to delivering on these standards and AB considers topics such as our vendors policies and practices for data privacy, cybersecurity, business continuity, ESG, DE&I, and financial health. The VRMP team provides support to business units and individual vendor relationship managers so they can complete these assessments and mitigate risks appropriately. We manage our vendor inventory in ProcessUnity, execute configuration in ProcessUnity per the process maturation and conduct vendor risk due diligence primarily through an annual due diligence questionnaire exercise. Planned process enhancements include creating intersystem (contract management, accounts payable), cross-functional (Cybersecurity, DE&I, Modern Slavery, Data Privacy, Business Continuity, Legal & Compliance, and others) linkages to create a comprehensive risk view of all third-party engagements. The key job responsibilities include, but are not limited to: Become system and process Subject Matter Expert (SME) and central support resource for users Perform data consolidation and entry tasks Create new vendor profiles with key data points and enrich existing profiles Support maintenance of data and document repositories according to governance requirements Design and configure workflows for various processes such as Inherent Risk Questionnaire, Due Diligence Questionnaire, and overall workflow management in ProcessUnity. What is the professional development value of this role, i.e. what learning and professional growth does the role offer the candidate Opportunity to play a critical role in the evolution of the firm s Vendor Risk Management program with exposure to senior business and technology stakeholders Work with new technologies and processes to build scalable risk program Gain understanding of third-party risk management and governance Job Qualifications Qualifications, Experience, Education: Bachelor s degree Minimum 1 year in-office experience required, with 3 years preferred. Skills: Organized and detail-oriented Effective influencing and communication skills Aptitude to develop analytical, problem solving and data mining skills Ability to prioritize, work to deadlines, work under pressure Results-oriented, flexible, adaptable Self-starter and a good team player Intermediate to advance skill set in Excel Strong verbal and written English skills Knowledge of Low Code SaaS tool and familiarity in making configuration Preferred Special Knowledge: Prior data management, risk management or audit experience in the Banking/Finance industry or other similar function, related to technology, information security or operational risk, helpful but not mandatory Pune, India

Job Description A. Job Purpose Lead the development and execution of global cargo sales initiatives, strengthening long-term strategic partnerships with freight forwarders and key industry stakeholders. Design and implement customer-centric sales and product strategies to maximize revenue opportunities, expand market reach, and enhance profitability. Establish and execute network growth plans, ensuring continuous expansion of cargo capacity across international markets. B. Key Accountabilities Strategic Relationship Management: Act as the central liaison between global Cargo-Commercial, Sales, and Operations teams, facilitating seamless account management and fostering high-value partnerships. Cross-functional Collaboration: Engage with sales, GSSAs, operations, capacity, pricing, and digital teams to enhance service delivery and commercial efficiency across the network. Market Expansion Account Growth: Strengthen Air India Cargo s presence in key international markets by driving account expansion and cultivating new business relationships. Data-driven Strategy Implementation: Analyze industry trends, business insights, and market data to shape sales, product, and operational strategies that improve revenue performance and customer experience. Performance Optimization: Monitor customer expectations and market dynamics to proactively identify gaps, implementing strategic initiatives to enhance cargo service offerings and financial outcomes. C. Skills / Qualities Required Proven ability to engage with senior executives and industry stakeholders at a strategic level Extensive experience in air cargo sales and commercial operations, with multi-functional expertise as a significant advantage. Strong analytical skills in data mining, market analysis, and forecasting to drive business decisions. Demonstrated success in leading complex projects and cross-functional initiatives with measurable outcomes. D. Key Interfaces Internal Interfaces Regional Cargo Managers Co-create customer journeys and support on closing the expectation gaps Cross functional leaders and teams Collaborate to align and / or build our offerings with customer expectations - Commercial, Product, Operations, Compliance External Interfaces Customer s leadership team and key influencers Make Air India Cargo the preferred partner for the freight forwarders across geographies GSSAs Engage with sales partners to execute sales strategies and enhance Air India s cargo offerings D. Educational and Experience Requirements Minimum Education requirements Bachelor s degree in Management: Operations Management or Services Marketing Experience Minimum Desired 12+ years of experience in a International Sales / Account management / Commercial Operations, within the cargo or airline industry 15+ years of experience in air cargo account management / business development and preferably a stint in building programs in operations / customer service

About Swiss Re Corporate Solutions Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime. Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work. About the Role The Corporate Solutions Advanced Data Science team is seeking a highly experienced Senior AI Engineer to drive the development of our next-generation data solutions. In this pivotal role, youll apply sophisticated methods to transform raw, complex data into robust, scalable AI-powered data systems. Your responsibilities will include designing and implementing advanced algorithms, conducting in-depth statistical and machine learning analysis, and ensuring these systems are meticulously aligned with our strategic business objectives for maximum efficiency and impact. To excel, youll need exceptional analytical capabilities, a proven ability to integrate diverse data sources, mastery of multiple programming languages, and a deep understanding of cutting-edge machine learning methodologies. In this role, you will have following fundamental responsibilities: Work alongside a technically sophisticated team of data scientists and data engineers located within and outside Bangalore. Translate business needs and requirements into specific quantitative questions, which can be answered with available data using sound methodologies Identify and highlight gaps in existing datasets to enhance the data quality in the upstream systems. Create business value by leading end-to-end data initiatives including but not limited to data ingestion, transformation, solution development, deploying advanced AI/ML models and making process improvement recommendation Build up and maintain AI engineering and data science best practices, and model governance framework. Inspiring others to raise minimum standards to a new level. Design and develop frameworks for automated testing of data pipelines and machine learning artifacts. Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights. Work with Analytics and Business Experts to deploy the models into production by building APIs or leveraging our ETL pipelines Connect with business stakeholders to find process improvement opportunities and suggest suitable solutions. Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions. You are expected to use a wide variety of open-source technologies. Required Skills: University degree in Engineering or Computer Science (or comparable education/equivalent experience), with strong programming, data analytical skills Minimum 4 years of work experience in Machine Learning, AI, Data engineering, big data and projects Strong knowledge on system design, data structures, algorithms, storage systems, and cloud infrastructure Hands-on experience in using Palantir Foundrys advanced apps Hands-on experience in one or more cloud platforms like AWS, Azure, Google Cloud is a plus. Proficiency in Python, PySpark, TypeScript/Java Script and SQL Proven experience in designing and implementing end to end data pipelines and deploying ML and AI models Experience in working with shared code repository (VSS, SVN or Git) Experience in the re/insurance industry is a plus Communicate clearly and simply, even when dealing with complicated problems and ideas, and do so both orally and in writing. When interacting with colleagues, adjust your communication style to meet the needs of others. Open-minded, intellectually curious and enjoy continually learning from a variety of sources. A self-starter and able to solve problems and develop solutions About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134353

Internal Audit: Head - Bharat Banking Audit (Channel Audit) INTERNAL USAGE: No. of Vacancies: Reports to: Head Bharat Banking Is a Team leaderN Team Size: Grade: VP/SVP Business: Department: IAD Sub-Department: Location: About Internal Audit Internal Audit function of the Bank, operates independently under the supervision of the Audit Committee of the Board and is responsible for providing an independent view to the Board of Directors and Senior Management on the quality and efficacy of the internal controls, risk management systems, governance systems and processes in place on an on-going basis. This is provided to primarily ensure that the business and support functions are in compliance with both internal and regulatory guidelines. About the Role Bharat Banking Audit Team conducts internal audits of Agri products and processes, physical visits of AAOs and vendors, verification of appraisal notes and loan documents of borrower. The Auditor will have to share and discuss audit findings with Audited units and ensure Audit report release through Audit Software within stipulated timelines Key Responsibilities Ensure commencement / completion of audit assignments based on risk based internal audit norms, adhering to audit schedules and audit standards Ensure quality of audit reports with depth, coverage and correctness / consistency of data furnished with emphasis on Policies, internal guidelines, processes, practices/ people, revenue assurance, risk coverage (Credit, Operational, Financial, Compliance, Reputation and Fraud Risk) Conduct theme reviews, Process and Special audits with qualitative suggestions / recommendations for improvement of processes & mitigating risks Ensure effective usage of offsite reports with special focus on data mining & analysis to facilitate identification of risks in the audits Responsible for the preparation of quality synopsis and notes to be put up to various audit committees and senior management with appropriate recommendations and remedial action initiated Focus on innovatively driving the audit process Qualifications Optimal qualification for success on the job is: Qualified CA with 12+ years of experience, additional professional qualification such as MBA/CAIIB/CIA will be preferred Role Proficiencies: For successful execution of the job, a candidate should possess the- Good communication (both verbal & written) and inter-personal skills Team Handling and leadership skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to manage multiple tasks/projects and deadlines simultaneously