524 Predictive Analytics Jobs - Page 13

contract 1 yearlocation ETV ( Flipkart ) Bangalore,Karnataka Job Code Mandatory SkillsMachine Learning, Statistical Modeling, Predictive Modeling, data analysis, Data Analytics, Predictive Analytics, Advanced Analytics, data mining, Python, Regression Testing Key Responsibilities Collect, clean, and explore large datasets to uncover trends and patterns. Design, develop, and deploy predictive models (e.g., regression, classification, timeseries, clustering) using machine learning and statistical techniques. Conduct advanced statistical modeling: regression, ANOVA, factor analysis, PCA, etc. Perform data analysis, feature engineering, and preprocessing to optimize model accuracy and reliability. Evaluate and refine models continually; monitor performance and recalibrate to account for data drift. Visualize data and present findings through clear dashboards and reports, using tools like Advanced Excel, Tableau, or Power BI Collaborate with cross-functional teams (e.g., business, engineering, data engineering) to integrate predictive analytics into operations. Communicate complex results to stakeholders with clarity and influence strategic decisions. Required Qualifications & SkillsEducation & Experience Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field; Master’s preferred 3+ years in analytics, data science, or similar roles involving predictive modeling and data analysis. Technical & Analytical Skills Machine Learning & Statistical Modeling : deep expertise in regression (linear, logistic), clustering, decision trees, random forests, time-series forecasting, SVMs, ensemble methods, and neural networks. Programming & Tools : Proficiency in Python or R; strong command of SQL for data extraction; advanced Excel (pivot tables, VBA); familiarity with ML frameworks (Scikit-Learn, TensorFlow, PyTorch). Data Manipulation & Feature Engineering : experience cleaning, wrangling, and transforming data; feature selection and dimensionality reduction (PCA, LDA). Predictive Analytics Tools : Comfortable with BI platforms (Tableau, PowerBI) and predictive environments (Azure ML, SAP, IBM SPSS, SAS). Bangalore,Karnat aka ion : Skilled in model validation, metrics (accuracy, precision, recall), A/B testing.

Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with SQL, Excel, Tableau/ Power BI, PowerPoint Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on

JOB OVERVIEW: The Data Analytics and Insights Manager will play a pivotal role in driving data-driven decision-making by utilizing advanced analytics, artificial intelligence (AI), and machine learning techniques. This role will focus on leveraging technology to automate data extraction, generate actionable insights, and provide predictive analytics that will support business growth,. The ideal candidate will be responsible for leveraging technology to automate data integration from diverse sources, mining data to identify key trends, and delivering strategic insights that drive the optimization of marketing and sales strategies. KEY STAKEHOLDERS: INTERNAL Senior Sales Leadership, Marketing Team and Commercial Teams KEY STAKEHOLDERS: EXTERNAL : External Data Providers, Market Research agencies REPORTING STRUCTURE: Reports to Head Strategic Marketing ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred. RELEVANT EXPERIENCE: Minimum of 2+ years in data analytics, business intelligence, or related fields. Proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies. Familiarity with the Pharma domain is an advantage. Knowledge of Marketo is a plus. Key Roles/Responsibilities KEY ROLES/RESPONSIBILITIES: Data Extraction & Automation: Use advanced data extraction techniques, including automation tools and web scraping, to gather critical data on market trends, Drive automation initiatives to streamline data collection processes and increase efficiency Predictive Analytics & Insights Generation: Leverage machine learning and AI-driven algorithms to analyze historical and current data to predict future trends and sales opportunities. Provide actionable insights to enhance lead generation, conversion rates, and overall business performance. Competitor & Market Trend Analysis: Conduct ongoing competitor analysis using automated tools to extract competitive intelligence. Generate market trend insights, helping the business to stay competitive and refine its strategy in response to external changes. Salesforce Data Analytics: Utilize Salesforce data and other integrated platforms to perform deep data analysis, track sales performance, and generate insights that drive sales team effectiveness. Automate data flow and reporting processes within Salesforce to ensure real-time, actionable insights. Collaboration with Sales and Marketing Teams: Work closely with the Inside Sales and Marketing teams to identify key performance indicators (KPIs) and analytics that support lead generation, sales optimization, and marketing strategies. Provide data-driven recommendations to drive decision-making and improve marketing campaigns. Advanced Reporting & Visualization Design and implement interactive dashboards and reports using tools like Power BI, Tableau, or Qlik. Create and deliver professional PowerPoint presentations summarizing key findings and actionable recommendations . Support Inside Sales Efforts: Use data insights to optimize inside sales strategies, ensuring that the sales team has access to high-quality leads and relevant market data. Conduct segmentation analysis, targeting, and scoring to improve sales efficiency. Key Competencies Advanced Data Analytics Skills: Strong background in data analytics, predictive modeling, and machine learning. Ability to apply statistical and algorithmic methods to analyze and predict trends. Technical Proficiency: Expertise in data extraction, automation, AI, and machine learning platforms. Proficiency in tools such as Python, R, SQL, and cloud platforms for large-scale data processing and analysis. Salesforce Experience: Proficiency in analyzing and leveraging Salesforce data to extract business insights, enhance lead generation, and optimize sales processes. Automation & Web Scraping : Expertise in using automation tools and web scraping techniques to collect data from external sources and industry reports. Business Acumen & Insight Generation: Strong ability to translate data insights into actionable business strategies, particularly to optimize sales, marketing, and competitive positioning Responsibilities Qualifications ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred.

Education Required: Bachelors / Masters / PhD: Bachelor s or master s in computer science, Statistics, Mathematics, Data Science, Engineering Must have skills: visualization tools such as Power BI, Tableau, or Looker, ETL, Azure data factory, SQL Stored procedure, performance tuning Good to have skills: statistical modeling, predictive analytics, or machine learning Expectation : We are seeking a detail-oriented and analytical experienced Data Engineer. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets across various data sources to drive business decisions and strategy. This role requires strong technical skills, a passion for data, and the ability to communicate actionable insights through reporting. Collect, clean, and validate data from various sources to ensure accuracy and consistency. Analyze large datasets to identify trends, patterns, and actionable insights that support business objectives. Develop and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker. Collaborate with stakeholders to understand business needs and translate them into data-driven solutions. Present findings, insights, and recommendations to both technical and non-technical audiences in a clear and concise manner. Monitor key performance indicators (KPIs) and provide regular updates to business units. Support data governance and data quality initiatives to enhance overall data integrity. Preferred Skills: Experience in statistical modeling, predictive analytics, or machine learning. Familiarity with cloud-based data platforms (eg, Azure). Ability to work in a fast-paced environment and manage multiple priorities

Work Location : Hyderabad/ Bangalore Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) - Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark - Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. - Experience applying various machine learning techniques and understanding the key parameters that affect their performance. - Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). - Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras - Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB - Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. - Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). - Previous experience in ML, data scientist or optimization engineer role with a large technology company. - Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. - Experience in creating data driven visualizations to describe an end-to-end system. - Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. - Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field.

3-5 years of experience in design and development of RPA Solutions. Hands-on experience implementing end to end execution of various processes using Attended, Unattended, Development, and non-production bots Hands-on experience in Python, Java Script, VB.net, and C# Scripts Basic Knowledge in Hyper automation ( RPA + AI/ML, Gen AI ) Fluent Knowledge of Generative AI (Gen AI), large language/vision models (LLM/LVM) & NLP and predictive analytics. Strong proficiency in Python and experience with relevant libraries (NumPy, pandas, scikit-learn, etc.). Professional experience in SQL and relational databases Knowledge in Developing and Consuming APIs. Excellent coding, problem solving/analytical skills and complex troubleshooting methods Candidates should have strong working experience in Python. Must have experience in using Python to design RPA Framework. Python, Rpa, Javascript, Sql

Lifecycle Campaign Strategy & Execution: ? Design, execute, and optimize retention marketing campaigns focused on increasing student engagement, course completion rates, subscription renewals, and re-activation. ? Use MoEngage to manage personalized multi-channel campaigns across push notifications, in-app messages, emails, and WhatsApp Messages. ? Map learner journeys and create automated workflows using MoEngage Flows and Smart Triggers based on behavioral and academic engagement data. ? Cross-Functional Collaboration: ? Work closely with Digital Marketing, Content, and Academic Success teams to align communication strategies with learning milestones, curriculum needs, and platform updates. ? Partner with Brand and Creative teams to ensure learner messaging is consistent, motivational, and aligned with educational goals. ? Content Personalization & Engagement: ? Develop personalized communication tracks for different user segments (e.g., new learners, drop-offs, high performers, inactive students). ? Drive engagement through nudges, reminders, motivational content, milestone celebrations, and academic performance insights. ? Performance Analytics & ROI Tracking: ? Track and analyze key retention KPIs, including batch enrollments, course purchases, lesson engagement, active learners, course completion rates, D7/D30 retention, and subscription renewal rates to evaluate learner behavior, campaign effectiveness, and overall platform engagement. ? Analyze campaign performance via MoEngage Analytics, Google Firebase, and internal dashboards, providing data-backed insights and recommendations. ? Platform Mastery: ? Deep knowledge of MoEngage, including its segmentation engine, real-time triggers, campaign orchestration, and predictive analytics. ? Familiarity with WebEngage, CleverTap, or Braze is a plus, but MoEngage experience is mandatory. ? Maintain a test-and-learn mindset, using A/B and multivariate testing to improve creative and channel performance. Kozhikode State Kerala Country India Educational Qualification Bachelor s degree in Marketing, Business, Education, or a related field. ? 4 years of experience in retention, lifecycle, or CRM marketing, preferably within EdTech. ? Proven success managing user retention and engagement campaigns with measurable results. Building retention campaigns from scratch, including journey mapping and trigger logic, is a plus. ? Hands-on experience with MoEngage, including workflow automation, segmentation, and analytics. ? Strong analytical skills; ability to synthesize learner data into actionable strategies. Age

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

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Job Title - S&C GN - Data Science Consultant Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | AccentureQualification Experience & Educational Qualification: PhD with 2+ years of relevant experience, OR. Masters degree with 3+ years of experience, OR Bachelors degree with 4+ years of experience.

Job Title: AI Product Specialist Location: Banglore, Chennai Experience: 10-15 Years Shift Timimgs: 9am to 6pm Job Description: We are seeking an experienced and innovative AI Integration Lead to oversee the rollout and integration of AI-driven features within SAP SuccessFactors . This role requires a deep understanding of HR processes , AI capabilities , and hands-on experience with virtual agents , predictive analytics , and intelligent recommendations . The ideal candidate will collaborate with HR, IT, and vendor teams to deliver intelligent solutions that enhance business outcomes and workforce experience Key Responsibites: 8+ years of experience in SAP SuccessFactors implementation or support, with at least 2+ years focused on AI/ML integration . Strong understanding of AI technologies including NLP, predictive analytics, conversational AI, and intelligent automation. Experience working with virtual agents , chatbots , or digital assistants in an HR context. Proven ability to translate business needs into technical solutions involving AI and HRIS platforms. Familiarity with agentic AI concepts and hands-on knowledge of integrating them into enterprise solutions. Excellent communication, collaboration, and stakeholder management skills.

"> Urgent Opening For ServiceNow ITOM Developer/Architect Location: Bangalore / Hyderabad Opportunity : Full Time Experience : 8 To 15 Year Desired Competencies (Technical/Behavioral Competency ) Must-Have MUST have min. 2-3 years experience in Event Management in ITOM. Should have 7+ years of ServiceNow Development experience . Should have better understanding on AI Ops elements such as Extensive IT data, Aggregated big data, Machine learning, Observation, Engagement, Actions. Should work on at least 2 of algorithms such as Data selection, Pattern discovery, Inference, Collaboration, Automation. Should be aware of phases such as Detect, Predict, Mitigate. Should have good knowledge on Domain-centric AIOps and Domain- agnostic AIOps. Should work on some of the use cases like Anomaly detection, Incident event correlation, Predictive analytics, Enhanced RCA, Automated incident response, Digital transformation, DevOps adoption. Job Location: Bangalore , Hyderabad First Name As per Pancard Last Name As per Pancard Email Mobile Number Total Experience Relevant Experience Notice Period --Select-- 30 days 45 days 60 days 90 days Immediate Serving Notice Period Last Working Date Current Location --Select-- Bangalore Hyderabad Mumbai Pune Chennai Kolkata Delhi Noida Gurugram Other Location Certifications Key Skills Upload Your Resume Allowed File Types: .pdf, .doc, .docx, .jpg File size should be below 5 MB. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Submit

"> Urgent Opening For ServiceNow ITOM Developer/Lead Location : Pan India Experience: 6 To 10 Year Opportunity : Full Time Desired Competencies (Technical/Behavioral Competency ) MUST have min. 2-3 years experience in Event Management in ITOM. Should have 6+ years of ServiceNow Development experience . Should have better understanding on AI Ops elements such as Extensive IT data, Aggregated big data, Machine learning, Observation, Engagement, Actions. Should work on at least 2 of algorithms such as Data selection, Pattern discovery, Inference, Collaboration, Automation. Should be aware of phases such as Detect, Predict, Mitigate. Should have good knowledge on Domain-centric AIOps and Domain- agnostic AIOps. Should work on some of the use cases like Anomaly detection, Incident event correlation, Predictive analytics, Enhanced RCA, Automated incident response, Digital transformation, DevOps adoption. First Name As per Pancard Last Name As per Pancard Email Mobile Number Total Experience Relevant Experience Notice Period --Select-- 30 days 45 days 60 days 90 days Immediate Serving Notice Period Last Working Date Current Location --Select-- Bangalore Hyderabad Mumbai Pune Chennai Kolkata Delhi Noida Gurugram Other Location Certifications Key Skills Upload Your Resume Allowed File Types: .pdf, .doc, .docx, .jpg File size should be below 5 MB. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. Submit

Supporting Research and Psychometrics Data Management Data Analysis Data Summarization Report Creation Lead the development of recurring ACT statistical reports.

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 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 & 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. Qualification Any Graduation

Skill required: Network Services - Network Analytics Designation: Business Advisory Senior Analyst Qualifications: Any Graduation Years of Experience: 5 - 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 Helps transform back office and network operations, identify revenue leakages in client business and work on solutions to mitigate it based on various business insights.Looking for a candidate who has expertise in Networking and has good knowledge on fundamentals of data analytics.A Network analytics analysis which provides operators and enterprises with a deep understanding of the network, enabling smarter, data-driven decisions. What are we looking for Microsoft ExcelMicrosoft Excel Data AnalysisMicrosoft Excel FunctionsProblem-solving skillsAbility to establish strong client relationshipWritten and verbal communicationNegotiation skillsCollaboration and interpersonal skillsMicrosoft Office SuiteStakeholder Engagement, building rapport with onshore CRMs and DirectorsKnowledge on U.S. Telecommunications industryFamiliar with PowerBI and other visual analytics toolsFamiliar with Advanced MS Excel (Functions, Macros, VBA, PowerPivots) 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 contribute to the team as an individual contributor which maybe subject to change Please note that this role may require you to work in rotational shifts (if needed) Qualification Any Graduation

JR: R00213657 Experience: 8-10Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - GN Industry - Utility SAP DM Consultant Management Level: 9-Team Lead/Consultant Location: Gurugram, DDC1A, NonSTPI Must-have skills: Marketing Strategies Good to have skills: Strong problem-solving skills, adaptability to changing business needs, and expertise in cross-functional collaboration. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Manage business operations, drive performance optimization, and lead cross-functional teams to achieve organizational objectives. Bring your best skills forward to excel in the role: Utilities retail and customer services process & domain expertise Expertise in one or more CRM platforms such as SAP C4C/ Salesforce/ Oracle CX in areas like Services, Sales & Marketing Good Understanding of CRM integration with Utilities systems such IVR/CTI, CIS, MDM, Outage Management etc. Would be advantageous but not mandatory:CRM certification (Salesforce/SAP CRM/Oracle CX) Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Your experience counts! Full Time Graduation Strong communication skills, demonstrating skills in sharing and explaining complex concepts, creative and pro-active thinking, and situational adaptation of these skills Preferred to have worked on client facing roles and basic ABAP/debugging skills. Understanding of AMI offerings of SAP ISU DM. Experience in Utilities and its business process is a must 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. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

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 Qualification Navi Mumbai

Key Responsibilities Develop and deploy personalised pricing models using historical behaviour, purchase intent, segmentation, and contextual data. Apply advanced statistical and machine learning techniques to estimate demand curves and user-level price sensitivity. Design and execute pricing A/B tests, analyzing lift, revenue impact, and user experience trade-offs. Develop dynamic pricing frameworks that adjust in real-time based on inputs such as location, time, inventory, and user cohorts. Collaborate with engineering teams to integrate models into pricing engines and user-facing platforms. Communicate findings clearly to business stakeholders and make data-backed pricing recommendations. Must-Have Qualifications 36 years of experience in data science, pricing, or quantitative strategy roles. Strong programming skills in Python and SQL; experience with libraries like scikit-learn, stats models, or XGBoost. Deep knowledge of pricing analytics, revenue management, and behavioral economics. Experience in building predictive models for conversion, elasticity, or revenue uplift. Ability to synthesize complex data into actionable strategies with business impact. Strong experimentation mindset with familiarity in causal inference and A/B testing methodologies.

As the Quality Analyst Lead at InsuranceMarket.ae , you will oversee a team dedicated to ensuring our software products are of the highest quality. Your role involves driving the transition to AI-first methodologies, optimizing testing processes, and delivering reliable and bug-free software. You'll collaborate with various teams and utilize modern AI tools to improve efficiency and predictive capabilities in testing, ensuring seamless project releases. What the QA Lead Will Own & Deliver Leadership & Team Management Lead, mentor, and performance-manage the 5-member QA squad.• Foster a culture of continuous learning - weekly AI in QA brown-bags, quarterly skills assessments, and individual development plans. Implement and monitor QA best-practice playbooks (shift-left testing, Definition of Done, peer reviews) to elevate team output and velocity. AI-Driven QA Strategy Embed AI-first thinking: autonomous test-case generation, self-healing locators, and Gen-AI defect clustering. Leverage predictive analytics on defect history to spotlight high-risk modules before code freeze. Continuously evaluate emerging AI frameworks and champion PoCs to keep the toolchain state-of-the-art. Testing & Quality Assurance Execution Author and maintain comprehensive test strategies and plans spanning unitUAT. Oversee creation & maintenance of AI-centric automated scripts (Virtuoso, Playwright, Cypress). Drive end-to-end manual and automated test cycles; triage and prioritise defects to meet sprint goals and ensure on-time, zero-escape releases. Collaboration & Communication Partner daily with Project Manager, BAs, Designers, and Engineers to align QA objectives with business OKRs. Provide crisp, data-driven test reports and release-risk heatmaps to stakeholders and C-Suite. Facilitate root-cause retros and champion continuous feedback loops across squads. Process Improvement & Best Practices Advance DevQAOpstight CI/CD hooks, contract tests, and canary releases. Regularly review coverage gaps Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience in QA, including team management responsibilities. Demonstrated proficiency with AI-driven testing tools and methodologies. In-depth knowledge of SDLC, Agile/Scrum methodologies, and QA automation tools such as Virtuoso. Exceptional analytical, problem-solving, and critical thinking skills. Superior communication and collaboration abilities, with a focus on cross-functional teamwork. Experience in financial services or insurance is highly preferred. Desired Attributes: Strong interest and experience in leveraging AI technologies to enhance QA processes. Proven track record in leading QA teams to deliver high-quality software products in a timely manner. Passionate about maintaining industry-leading quality standards and innovations in the QA sphere. Ability to thrive in a fast-paced environment that values agility and adaptability. Additional Skills: Familiarity with cloud-based testing environments and automated testing frameworks. Experience with customer-facing AI applications and their deployment. How to Apply: Send your resume to careers@insurancemarket.ae with 'Quality Assurance Lead' in the subject line.

IMMEDIATE JOINERS ONLY Job Title: AI Product Specialist Location : Bangalore or Chennai (Hybrid) Total Experience: 10Years Relevant Experience: 7+ Years Primary Skill Lead and support the rollout of AI-driven features and functionalities within SAP SuccessFactors including virtual agents, predictive analytics, and intelligent recommendations. Collaborate with HR, IT, and vendor teams to integrate AI capabilities aligned with business needs. Evaluate and advise on agentic AI capabilities and their potential integration into HR workflows Role & responsibilities Preferred candidate profile

Role & responsibilities Deliver subject-specific lectures, case studies, simulations, and workshops to PGDM/MBA/BBA/BCA students Develop course material, lesson plans, and hands-on activities aligned with AICTE / MDU and industry standards Use tools like Excel, Python, Tableau, R, SCM tools (for Operations), and simulation platforms Mentor students on projects, internships, and live case assignments Evaluate students performance through continuous internal assessments Organize skill labs, certification support sessions, and corporate knowledge exchange events Willing and excited to also take administrative responsibilities and job roles Subject-wise Requirements: 1. Business Analytics (Full-Time/Part-Time) Teach tools like Excel, Power BI, Python (basic), SQL, and analytics frameworks Deliver practical sessions on data cleaning, dashboards, decision support models Should be an all-rounder in B. Analytics subject areas like Market Microstructure, Predictive Business Analytics, Econometrics Eager to learn and teach on OS Softwares 2. Finance (with mandatory strong Excel exposure) Teach Financial Modelling, Valuation, MIS, Forecasting using Excel Must integrate Tally/Zoho/FinTech basics in classroom simulations Should be an all-rounder in Finance subject areas like Cost Accounting/GST/Income Tax Eager to learn and teach on OS softwares 3. Information Technology (AI/ML/Python/Data Structures/C++) Teach programming foundations with Python, C++, and exposure to ML/AI concepts Hands-on with Jupyter, Colab, GitHub, and coding practices Should be an all-rounder in IT concepts Eager to learn and teach 4. Operations & SCM (Transportation, Warehouse, Supply Chain Analytics) Teach SCM tools, TMS platforms, inventory modeling, Lean/6 Sigma basics Practical exposure to case-based supply chain problem-solving

Job Title: Associate Director/Consulting Manager (based on fitment). Solution Line: Talent Solutions Consulting. Position Type: Full Time. Work Mode: In Office. People Manager Role: Yes. Annual Revenue Responsibility: Yes. Required Education And Certifications Critical For The Role. Full Time Bachelors/ master’s degree in related discipline (HR, Economics, Statistics, Analytics and Business Administration). B. Work Experience. 9+ years of relevant post qualification experience after completion of masters in the area of compensation & benefits, rewards strategy design, job evaluation, incentive design, skill gap analysis, organization restructuring, talent management projects. Relevant pre-MBA experience in the areas we operate, Technical Skills. Advance Excel, Analytics, Data skill (Preferred). R, VBA, Macros, Predictive Analytics, Statistical Modelling, Linear Regression (Desirable). About Aon. Aon plc (NYSE: AON) is the leading global provider of risk management, insurance and reinsurance brokerage, and human capital consulting solutions. We have more than 66,000 colleagues worldwide,. Aon unites to empower results for clients in over 120 countries via innovative and effective risk and people solutions and through industry leading global resources and technical expertise, TALENT SOLUTIONS CONSULTING. Aon's Talent Solutions Consulting practice delivers solutions to help clients build workforces for the digital age. We accelerate organizations from ordinary to the extraordinary with an unmatched combination of global consulting, and integrated talent analytics. We have more than 300 consultants serving India market helping clients with their most complex challenging problems using deep insights and analytics. We are trusted advisors for wide variety of organizations including BSE500 and work with largest set of early-stage technology organizations in the country, Typically, the projects can cut across some or all the areas below:. Large Industry Compensation Benchmarking Surveys, Large Industry Salary Increase Surveys, Productivity Studies Pay for Performance Advisory Assignments, Compensation & Rewards Advisory (including & not restricted to) Pay Design, Pay Structuring, Rewards Strategy, Job Evaluation, Variable Pay & Incentive Design, Talent Advisory (including & not restricted to) Digital Transformation, Organization Design & Organization effectiveness, Performance management, Scorecard Design, Competency and Career Management Design, Job Overview. Our Associate Directors/Consulting Managers are responsible for high-level project delivery and oversight along with client relationship and revenue management. You will manage teams and advise clients at the highest strategic level on both big-picture and tactical matters, We expect to show ownership, accountability, and extreme learning agility. We would love for you to show us depth not only in solution areas but also in your understanding of how client organization function. You will be a part of highly energized team in consulting and depending on projects you will wear different hats ranging from performing complex analytics, wowing our clients, managing small projects to bringing in sales, Key Responsibilities. Project and Client Relationship Management Lead various Organization & Rewards Consulting assignments for Aon India clients especially in the area of organizational effectiveness; this included partnering with clients around HR system design, employee engagement, organization structuring, rewards benchmarking, pay range design, performance management & scorecard cascading.The incumbent would be responsible for leading a solution within the industry vertical in terms of clients, financial and team collaboration and also ensure timely and profitable delivery of the key projects. Manage client projects from start to finish, translating client needs into analysis and design recommendations across topics such as salary structures, total rewards strategies, equity guidelines, career progression guidelines, Thought Leadership To contribute to thought leadership in the industry sector for India with timely articles, white papers, roundtables, client events. The incumbent will contribute to this through content development, research, marketing events and other such activities, Business Development Focuses on client sales opportunities across hunting and farming. Understands client requirements, is able to explain to the client the solutions being proposed and customizes basis feedback. Listens to client problems without trying to force fit solutions, Pre-Sales Support and Solution DesignProvides support in building winning commercial proposals for clients. Plays the role of a team member in building out complex advisory solutions as part of the sales cycle. Ensures clients problem statement is effectively translated into a working solution. Tailors existing solutions to meet client requirements and where required, co-builds new solutions to meet client requirements where applicable, Skills/Competencies Required. Prior Consulting experience preferred, Excellent Communication and interpersonal skills, Strong domain expertise and presentation skills, Understanding of Market trends and economy, Confidence to present and defend methodology / recommendations to Senior Leaders, Leadership experience in terms of mentoring or developing peers and/or junior team members, Ability to work on complex assignments and lead from the front, Ability to work independently and on a team across multiple projects deadline-oriented environment, Track record of success in terms of historical performance rating and/or utilization (billable hours / total hours), Willingness to travelFlexible to long working hours, What We Look For. You bring a strong analytical ability but a ‘people-focused’ approach as well as the ability to see things from an end-user perspective. You will also have:. A strong passion for translating people data into meaningful insights that can ‘tell a story’,. Intermediate to Advanced skillset with MS Excel and other MS office tools, Commitment to ongoing learning, Project & Client Relationship Management. Insights and report quality. Ability to visualize large sets of data and build stories around it, Passion for driving results and focused on outcome and process, Deal with immense ambiguity and navigate oneself from problem to the solution, WHY CHOOSE US. You will get to work with top notch clients across industries, Opportunity to work in a niche segment with the market leaders in the Consulting Industry, Opportunity to work in a team of international professionals across regions, How We Support Our Colleagues. In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self, Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work,. and we are all for it!. Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued, 2556439. Show more Show less