524 Predictive Analytics Jobs - Page 10

Job Description: MIS Analyst Department: Management Information Systems (MIS) / IT Reports to: Senior Management Position Overview: Vipul Organics is seeking a detail-oriented and proactive MIS Analyst to join our dynamic team. The ideal candidate will be a data evangelist, responsible for transforming raw data into actionable business intelligence. You will play a crucial role in developing automated systems, generating critical reports, and providing data-driven insights that support strategic decision-making across production, sales, logistics, and R&D. This role requires a strong blend of technical skills in data analysis, automation (especially with Google App Script and Power BI), and a deep understanding of business processes in a manufacturing environment. Key Result Areas (KRAs) & Responsibilities: 1. System Development & Automation: Design, develop, and implement new process workflows and automated systems using Google App Script to enhance operational efficiency. Create and manage automated email alert systems within Google Sheets to provide real-time updates on critical business events as per management requirements. Proactively identify opportunities for automation in data extraction, reporting, and daily tasks, utilizing tools like Google App Script, Power BI, and Excel VBA. Collaborate with management to conceptualize and build new systems and applications to meet evolving business needs. 2. Business Intelligence & Data Visualization: Develop, maintain, and enhance interactive dashboards and live business analysis reports using Power BI, focusing on key metrics like export/import data, production, and sales. Utilize data visualization tools to create predictive models, forecasting results, and trend analyses to support strategic planning. Translate complex datasets into clear, concise, and compelling visual stories for stakeholders at all levels. 3. Reporting & Data Management: Generate and circulate accurate daily, weekly, monthly, and yearly reports on key metrics, including: Daily Production summaries for Ambernath and other factory locations. Sales performance reports by individual, region, and period. R&D Experiment reports. Dispatch details and logistics shipment tracking. Ensure the integrity, accuracy, and maintenance of all factory-related master data. Track and report on logistics shipments, ensuring compliance with documentation like Advance Licences. 4. Process Improvement & Operational Analytics: Analyze operational data to identify bottlenecks, inefficiencies, and areas for improvement within production, logistics, and other departments. Perform Production ABC analysis to optimize inventory, resource allocation, and cost control. Collaborate with Operations, Quality, and Maintenance teams to support data-driven continuous improvement initiatives. Assist in demand forecasting, capacity planning, and inventory optimization models to enhance overall operational effectiveness. 5. Performance Management & KPI Tracking: Develop and maintain employee-specific checklists and performance trackers to monitor daily and weekly activities. Generate and distribute weekly and monthly Key Performance Indicator (KPI) report cards for employees, providing actionable insights to management and team leads. Required Skills and Qualifications: Education: Bachelors degree in Information Technology, Computer Science, Statistics, Business Administration, or a related field. Experience: 2-4 years of proven experience in an MIS, Data Analyst, or Business Analyst role, preferably within a manufacturing industry. Technical Skills: Expert Proficiency: Google App Script, Google Sheets, and MS Excel (Advanced formulas, Pivot Tables, VBA). Strong Proficiency: Power BI for creating dashboards and reports. Working Knowledge: SQL for data querying and manipulation. Analytical Skills: Strong analytical and problem-solving skills with an exceptional ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Soft Skills: Excellent communication skills, ability to work collaboratively with cross-functional teams, and a proactive mindset. Preferred Qualifications: Experience with other data visualization tools (e.g., Tableau). Knowledge of programming languages like Python for data analysis. Familiarity with ERP systems (e.g., SAP, Oracle). Direct experience in the chemical or specialty organics industry.

Type : Internship Duration : 6 Months About Phoenix Phoenix is Myntras initiative specifically designed to offer a launchpad to women on career break. It is a six month internship that ensures a conducive environment facilitating a smooth transition back to work. With structured on-boarding, customized learning and development programs, mentorship opportunities, on the job learning and best in class benefits, we aim to provide an environment that is supportive, so that you can re-discover your career with us. During your internship with us, you will get the opportunity to work with the best talent in the e-commerce industry and work on projects that match your interest, abilities and could lead to full-time employment with Myntra. Key Responsibilities: Collect, process, and analyze data from various internal systems and external sources. Develop and maintain dashboards, reports, and visualizations to support business objectives. Identify trends, anomalies, and opportunities through data analysis and communicate findings to stakeholders. Collaborate with business, product, and engineering teams to define KPIs and performance metrics. Perform exploratory data analysis to uncover business insights and support strategic planning. Use statistical techniques to develop predictive models or support A/B testing. Ensure data quality and integrity by validating datasets and troubleshooting discrepancies. Document data processes and maintain version control for reports and code. Requirements: Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 1-3 years of experience as a Data Analyst or in a related analytical role. Proficient in SQL, Excel, and at least one data visualization tool (e.g., Power BI, Tableau, Looker). Experience with data analysis tools/languages such as Python, R, or similar. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills and the ability to present complex data in a clear and actionable manner. Experience in e-commerce industry Understanding of basic statistical methods and predictive analytics. Should have minimum 6 months career gap at present.

Project Role : BI Engineer Project Role Description : Develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Integrate security and data privacy protection. Must have skills : SAS Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a BI Engineer, you will develop, migrate, deploy, and maintain data-driven insights and knowledge engine interfaces that drive adoption and decision making. Your typical day will involve collaborating with various teams to ensure the integration of security and data privacy protection while delivering impactful data solutions that enhance organizational decision-making processes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong analytical skills to interpret complex data sets.- Experience with data integration and ETL processes.- Familiarity with data visualization tools to present insights effectively.- Ability to implement data governance and security measures. Additional Information:- The candidate should have minimum 7.5 years of experience in SAS Analytics.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Job Overview This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time educationThe Senior Manager of Enterprise Data Analytics will lead a team of data professionals focused on delivering high-impact analytics, insights, and data-driven strategies across the organization. This role will drive enterprise-wide initiatives by partnering with cross-functional leaders in different Business Value Streams at Vertex, to turn complex data into actionable intelligence. The ideal candidate is a strategic thinker and hands-on leader who thrives at the intersection of data, technology, and business value.Key Responsibilities- Manage a team of direct reports, including day-to-day supervision and performance oversight.- Lead and develop a high-performing team of data analysts, business analysts, and data visualization specialists.- Translate executive and departmental business goals into data strategies, insights, and scalable reporting solutions.- Oversee the design, development, and maintenance of enterprise dashboards, KPIs, and reporting frameworks using tools like Power BI and Tableau.- Partner with data engineering and data governance teams to ensure data quality, integrity, and accessibility.- Identify opportunities to drive business outcomes through predictive analytics, trend modeling, segmentation, and customer lifecycle insights.- Act as a strategic advisor to senior leadership by providing analytical guidance on initiatives, KPIs, and operational decisions.- Foster a culture of data literacy, storytelling, and self-service analytics across the organization.- Own the intake, prioritization, and delivery of analytics projects, ensuring alignment with business objectives and timelines.- Develop frameworks for measurement, experimentation (A/B testing), and business impact analysis.- Ensure compliance with data privacy and security standards in all analytics practices. Qualifications- Bachelors or masters degree in data science, Business Analytics, Computer Science, Statistics, or a related field.- 8+ years of progressive experience in analytics or business intelligence, with at least 23 years in a people leadership role.- Proven ability to manage, mentor, and scale high-performing analytics teams.- Deep expertise in data visualization and BI tools (e.g., Power BI, Tableau).- Strong SQL skills and working knowledge of data platforms (Snowflake, Data Cloud, etc.).- Experience in enterprise SaaS, B2B tech, or digital transformation environments is preferred.- Excellent communication skills with a strong ability to translate complex data into business value.- Experience working in Agile or cross-functional environments is a plus.Preferred Attributes- Strategic thinker with the ability to manage both granular details and big-picture business objectives.- Curious, data-driven mindset with a commitment to continuous improvement.- Demonstrated success in driving cross-functional alignment through data and analytics.- Strong executive presence and the ability to influence at all levels of the organization. Qualification 15 years full time education

Skill required: Delivery - Customer Insight & Marketing 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 Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Actionable Insights Minimum 4 years of experience in digital analytics. Must have a good understanding of digital marketing landscape and relevant tools Experience in SQL and Snowflake/GCP Exposure to Adobe Analytics & Looker products Must have worked on Marketing and Digital domain Must have worked on real life business cases involving, and not limited to, deep dives, ad-hoc, generating insights with actionable recommendations Knowledge of clickstream data Understanding of other Adobe Marketing Cloud products is a plus Ability to learn new tools and technologies as per the role requirement Adaptable and flexible Ability to work well in a team Agility for quick learning Commitment to quality Written and verbal communication Roles and Responsibilities: You will be responsible for making your insight actionable; explaining complex analytics to non-technical audiences and making clear recommendations on how stakeholders should be using the insight youre providing Develop and execute SQL scripts to conduct ad hoc analyses and generate actionable recommendations Having deep knowledge of marketing and digital to help analyses campaign performance and provide recommendation for upcoming campaigns Present findings and recommendations to senior stakeholders Develop strong relationships with a range of stakeholders. Your network of contacts will prove key to maximizing how you add value through insight Collaborate closely with client /stakeholders to gather requirements around digital analytics reporting and analyses Qualification Any Graduation

Skill required: Customer Operations - Voice - Collections Processing Designation: Customer Contact Comms Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 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 You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.Customer Operations - Voice - Help desk role - ticket resolutionManage OTC collection/disputes such as debt collection, reporting on aged debt, dunning process, bad debt provisioning etc. Perform Cash Reconciliations and follow up for missing remittances, prepare refund package with accuracy and supply to clients, record all collections activities in a consistent manner as per client process (tool), delivery of process requirements to achieve key performance targets, ensure compliance to internal controls, standards, and regulations (Restricted countries). What are we looking for Ability to meet deadlines Ability to perform under pressureProblem-solving skills Detail orientationAbility to establish strong client relationshipFinance and AccountingExcelGood Communication skills both written and verbal Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Skill required: Delivery - Adobe 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 Adobe Analytics is a solution for applying real-time analytics and detailed segmentation across all marketing channels. It gathers structured and unstructured customer data from online and offline sources, applies real-time analytics, and shares insights across an organization. It provides the capabilities of Web & Mobile Analytics, Marketing Analytics, Predictive Analytics. What are we looking for Adobe Analytics & Looker Minimum 4 years of experience in digital analytics. Must have a good understanding of digital marketing landscape and relevant tools Extensive working experience in Adobe Analytics & Looker products Reporting & Analytics, Ad hoc Analysis, Workspace Experience in SQL and Snowflake/GCP Ability to translate the business trends to simple actions visuals Experience in Beatty/CPG/Retail Adaptable and flexible Ability to work well in a team Agility for quick learning Commitment to quality Written and verbal communication Roles and Responsibilities: Identify relevant data sources and determine effective methods for data analysis Transform the raw data from data sources to aggregate/consumable data for visualization tool and build appropriate schema/relation Design, develop, and maintain user-friendly data visualizations that align with project objectives Collaborate with cross-functional teams to understand project requirements and establish data-related project briefs Deployment of dashboard to productions and track for regular refresh Set-up alters and appropriate access controls for dashboards Ability to track and report where data not captured appropriately especially when there are tagging gaps Update, create, and support databases and reports, incorporating key metrics critical for guiding strategic decisions Ensure data accuracy, completeness, and reliability in all reporting activities Continuously refine and improve existing dashboards for optimal performance and user experience Implement user feedback and conduct usability testing to enhance dashboard effectiveness Stay abreast of industry developments and incorporate innovative techniques into visualization strategies Drive adoption of reports Qualification Any Graduation

Skill required: Delivery - Business Insights 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 Visit us at www.accenture.com.You will be aligned with our Ops Transformation 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.The Business Insights team is responsible for inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Hands on with python programming & understanding of machine learning models. You will have to understand and interpret insights where applied statistics, pattern analysis, forecasting models, predictive analytics or similar methods have been used. What are we looking for Working knowledge and experience in building forecasting models Sales Operations Microsoft Excel Sales Reporting & In-depth transformational project experience Transformation using automation levers and tech of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, and Integration Good to have exposure to Microsoft Power BI, Power Query and Power Pivot Ability to manage multiple workstream and stakeholders Ability to perform under pressure and agility for quick learning Ability to establish strong client relationship Ability to handle disputes Ability to manage multiple stakeholders and meet deadlines Strong analytical skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. The person would require understanding of the strategic direction set by senior management as it relates to team goals. Manage the end-to-end project lifecycle, from the inception to fruition and ensure the combined forces of tech and function deliver as expected. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. Work with Global teams, specialized teams across the functions to contribute to the project outcomes. 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. You will be typically creating new solutions, leveraging and where needed adapting to the existing methods and procedures. Your primary upward interaction is with direct supervisor team leads. You will generally interact with peers and / or management level with clients or internal stakeholders. You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments. Qualification Any Graduation

Data Scientist Purpose This position will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. In Cotiviti, you will solve some of the most pressing Healthcare issues with access to an expansive library of data including claims, membership and demographics. You will work on building value-oriented, production level machine learning solutions in Healthcare Technology. This position will require applying your knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce healthcare costs and improve health quality and outcomes. Job Responsibilities 1. Engage with customers to identify opportunities to integrate data/insights into decision-making 2. Understand and translate business requirements from internal and external stakeholders into data product and features 3. Processing, cleansing, and verifying the integrity of data used for analysis 4. Conduct exploratory data analysis to verify the initial hypothesis associated with potential AI/ML use cases 5. Prepare your final trained model and develop a validation test set for QA 6. Work with production operations to deploy your model and monitoring model performance 7. Apply statistical methodology to solve business problems; appropriately interprets meaning from results 8. Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas / analytics 9. Prepare project documentation, and conduct end user training 10. Conduct on-demand analyses to support key internal and client-facing deliverables 11. Cultivate and share best practices in structured problem solving and quantitative/qualitative analysis 12. Complete all responsibilities as outlined on annual Performance Plan Attributes And Behaviors 1. Develops and maintains positive working relationships with others 2. Shares ideas and information 3. Assists colleagues unprompted 4. Takes pride in the achievement of team objectives 5. Has credibility with team and senior managers 6. Self-motivated driven to achieve results 7. Works with a sense of urgency 8. High customer service ethic is passionate about meeting customer expectations 9. Keeps pace with change acquires knowledge/skills as the business evolves 10. Handles confidential information with sensitivity 11. Thinks for the benefit of the organization and team 12. Demonstrates independent thinking and comes up with approaches on different aspect of work 13. Is a role model for the team 14. Is a subject matter expert of the associated domain 15. Exhibits behaviors consistent with Cotiviti Values: a. Open b. Customer Driven c. Accountable d. Collaborative Relevant Experience & Educational Requirements 1. Bachelors or Masters degree in data/analytics, computer science, engineering, economics, mathematics or statistics 2. 4+ years’ experience building and deploying Machine learning models 3. 4+ years’ experience in working in Big Data environments 4. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keras, pandas, numpy, scikit-learn 5. Experience in healthcare analytics, consulting, technology/services, product development, or other relevant role will be an advantage 6. Deep understanding of supervised and unsupervised algorithms 7. Experience extracting and transforming source data using SQL, spark, scala, hive, impala 8. Ability to package insights in highly consumable and flexible formats for a variety of audiences 9. Ability to work well independently and with cross-functional, matrixed teams in an agile environment 10. Ability to handle multiple tasks, prioritize and meet deadlines

IT Education Centre is looking for Data Science Trainer to join our dynamic team and embark on a rewarding career journey Curriculum Development: Designing and creating training programs or courses covering a wide range of data science concepts and tools, tailored for different skill levels, from beginners to advanced learners Instruction and Delivery: Conducting training sessions, workshops, or classes to teach data science methodologies, tools, and best practices This involves explaining complex concepts in an understandable manner and using practical examples and exercises Material Creation: Developing educational materials, including presentations, slides, handouts, coding exercises, and datasets, to support the learning process Hands-on Practice: Providing opportunities for students to apply theoretical concepts through hands-on projects or real-world case studies, enabling them to gain practical experience Mentoring and Support: Offering guidance, feedback, and support to students or trainees throughout their learning journey, helping them overcome challenges and advance their skills Staying Updated: Keeping abreast of the latest trends, tools, and techniques in data science and integrating new developments into training materials and curriculum Assessment and Evaluation: Assessing the progress of trainees through assignments, tests, or projects, and providing constructive feedback to help them improve Engagement and Collaboration: Collaborating with other trainers, educators, or professionals in the field to exchange knowledge, share resources, and enhance training methodologies

Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 6+ years in analytics industry ( Finance / Banking industry preferred ) B Tech/ MBA from premier institute Knowledge of SQL is must with high proficiency Knowledge on statistical model building is must (Logistics regression, Linear regression etc) Knowledge of Python/ R is preferred Knowledge of Statistics Linear Regression, Exploratory Data Analysis, etc. Excellent critical thinking and problem-solving skills Good written and verbal communication skills Detail-oriented with strong organizational skills Location: Mumbai

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Role . Monitor Portfolio quality trends /Early Warning triggers for Retail Finance / Consumer lending products 2. Perform Portfolio deep-dive to identify emerging trends; contribute towards improving portfolio quality and reducing non-performing loans 3. Analysis and visualization of risk factors using database and analytics tool like Python/SAS, SQL, Power BI, Excel 4. Credit Loss Modelling for the Retail Finance products e.g. Personal Loans, Vehicle loans for ECL Provisioning 5. Maintain credit Models on Basel/IFRS 9 (PD, LGD, EAD) etc. for ECL (Expected Credit Loss) Calculations 6. PD Modelling with Flow rates and Linear Regression, and Vasicek method 7. Develop & maintain Stress Testing Framework - perform Stochastic Stress Testing using Regression, Vasicek, CIR models 8. Perform Stress Testing on material risks in line with RBI guidelines / Basel norms and Stress Testing Policy. 9. Design Guardrails for each product and monitor them for sensing & sending Early Warning Alerts 10. Query large data sets to draw insights from loan portfolio data to detect early warning indicators 11. Extensive data mining to monitor the changes in trends, outlook and review the portfolio quality and performance 12. Perform portfolio analytics Vintage, Water-fall, Through the door analysis etc. 13. Monitor Macro/Micro/High Frequency indicators; keep a close monitoring on movement of these indicators and perform impact assessment.onsibilities Preferred candidate profile Statistical Concepts, Data Science and Machine Learning algorithms, Basel norms/IFRS 9 (PD, LGD, EAD), IND, Regulatory, Financial Concepts

Summary: Join XYZ, a leading innovator in the tech industry, as a Machine Learning Engineer based in the vibrant city of Mumbai. We are seeking a dynamic individual with at least 1 year of experience in machine learning to contribute to our cutting-edge projects. As a Machine Learning Engineer at XYZ, you will be an integral part of our in-office team, collaborating with talented professionals to design, develop, and deploy machine learning models that drive impactful solutions. Your role will involve working closely with data scientists and software engineers to implement algorithms, optimize models, and ensure seamless integration into our systems. You will have the opportunity to work on diverse projects, ranging from predictive analytics to natural language processing, enhancing your skills and expertise in the field. At XYZ, we value innovation, creativity, and a passion for technology. We offer a stimulating work environment where your ideas are encouraged and your contributions are recognized. If you are eager to advance your career in machine learning and thrive in a collaborative setting, we invite you to apply for this exciting opportunity in Mumbai. Join us in shaping the future of technology and making a difference through the power of machine learning.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.