655 Predictive Analytics Jobs

Project description We are seeking a motivated and detail-oriented Associate Business Systems Analyst with a minimum of 2 years of hands-on experience in Workday configuration and support, as well as other cloud-based business applications. This role will support and enhance enterprise systems across Finance, and Supply Chain, with additional responsibility for Par Excellence, EDI integrations with GHX Marketplace, Concur. Responsibilities Configure, maintain, and support Workday Finance, and Supply Chain modules. Serve as a liaison between business stakeholders and technical teams to gather and document business requirements, translating them into clear user stories and specifications. Support Workday Finance and Supply Chain, Par Excellence, EDI with GHX Marketplace, and Concur by troubleshooting issues, configuring settings, and maintaining system performance. Stay current with Workday release updates, assess impact, coordinate testing, and enable new features where appropriate. Perform and coordinate system testing, QA, and validation across platforms. Resolve user-reported issues submitted through ServiceNow, ensuring timely communication and resolution. Participate in cross-functional projects, ensuring system solutions meet business objectives, compliance requirements, and technology standards. Contribute to change management efforts, including documentation, training, and communication. Collaborate with cross-functional teams to support and test AI-powered tools or features integrated within enterprise systems. Identify opportunities to improve automation, reporting, and business process optimization using AI and emerging technologies. Skills Must have Bachelor's degree in Information Systems, Business Administration, Computer Science, or related fieldor equivalent experience. Minimum 2 years of direct experience supporting and configuring Workday Finance, and Supply Chain modules. Experience with Par Excellence, EDI/GHX Marketplace, or Concur support and configuration. Demonstrated experience working with or supporting AI-driven applications or tools (e.g., chatbots, predictive analytics, AI-based automation). Ability to assess the applicability of AI solutions to business challenges. Strong problem-solving, analytical, and interpersonal skills. Experience in QA/testing and validating system changes. Proficient in writing functional documentation and user stories. Familiar with ServiceNow or similar ITSM platforms. Nice to have Experience working in a healthcare organization or regulated industry. Familiarity with Workday business processes, security, integrations, and reporting. Knowledge of Agile development practices and experience in collaborative project delivery. Exposure to AI/ML capabilities in Workday or related platforms (e.g., sentiment analysis, automation triggers, smart suggestions). Understanding of Workday release management and feature enablement. Location (Remote) - Pune,Mumbai,Chennai,Banagalore

Axalta has remained at the forefront of the coatings industry by continually investing in innovative solutions. We engineer technologies that protect customers products whether they are battling heat, light, corrosion, abrasion, moisture, or chemicals and add dimension and beauty with colourful finishes. We have a vast and ever-evolving portfolio of brands primed to play an important part in everything from modernizing infrastructure around the world to enabling the next generation of electric and autonomous vehicles. We are seeking an IT Pricing Analyst for Gurgaon location. Job Description: IT Pricing Analyst Candidate should have 2-4 years of experience in SAP-OTC. Knowledge of Bright Price Suite pricing tool will be preferable, but not mandatory. He/she should be proficient in executing pricing analytics, defining pricing rules, data transformation and validation. Bright Price Suite Run & Maintain : He/she will be responsible for Run& Maintain of pricing tool used by Axalta- Bright Price Suite. He/she will be first level of contact for with Business for any pricing related queries. The responsibilities also include ensuring Axalta global business standards are being followed, setting up new users on Bright Price Suite, testing/validating changes/enhancements done by SPOSEA team etc. Pricing performance monitoring and reporting: Work with Phase 2 business leads to understand requirements. He/she will also be involved in converting existing pricing conditions to corresponding S/4 conditions, create templates for loading new pricing condition records for US/Canada, perform pre & post validation Build : The candidate should possess good understanding of pricing models. He/she should be able to simulate & model different scenarios to ensure customer/material discount combinations should lead to the same net net price despite of the change. Preparation of S4 mass-uploader will also be required to upload pricing data via Bright Price Suite. Post upload, the analyst should perform data validation in S/4 to verify data accuracy. Test : Provide tools & techniques to do spot- and mass-tests to get buy in from the organization. The candidate should also have an expert knowledge of Microsoft Excel to work with large pricing data Pivots/VLOOKUPs Train : Develop training materials together with the Pricing SMEs and support training of business teams. With the upcoming S/4 roll outs, training the new business being onboarded is critical. Axalta operates its business in two segments: Performance Coatings and Mobility Coatings, which serve four end markets, including Refinish, Industrial, Light Vehicle and Commercial Vehicle, across North America, EMEA, Latin America and Asia-Pacific. Our diverse global footprint allows us to deliver solutions in over 140+ countries and coat 30 million vehicles per year. Weve recently set an exciting 2040 carbon neutrality goal, in addition to 10 other sustainability initiatives, and we take pride in working with our customers to optimize their businesses and achieve their goals Axalta has remained at the forefront of the coatings industry by continually investing in innovative solutions. We engineer technologies that protect customers products whether they are battling heat, light, corrosion, abrasion, moisture, or chemicals and add dimension and beauty with colorful finishes. We have a vast and ever-evolving portfolio of brands primed to play an important part in everything from modernizing infrastructure around the world to enabling the next generation of electric and autonomous vehicles. 2 - Professionals (EEO-1 Job Categories-United States of America)

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

Skill required: Delivery - Digital Analytics Designation: I&F Decision Science Practitioner Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 Years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do 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 Customer Insights Analytics Insights Market research Familiarity with tools like Kantar Track, Power BI Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team 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 Qualification Any Graduation

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. 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- Design and develop applications- Collaborate with cross-functional teams- Contribute to key decisions Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

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

Scope: - Lead the data science workstream within implementation projects of our newly launched products and ML solutions at first customers in cooperation with Product Management and field teams - Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality. - Configure and tune statistical algorithms such as time series and Machine Learning models from open source as well as BY's libraries to support overall project objectives and achieve highest possible quality outcome - Design and build tools and code templates to improve and/or speed up the data science workflow in customer projects to enable scale, leveraging new technologies such as GenAI - Work with BY's Data Scientists, Product Developers, Product Managers and other members of the Blue Yonder team to understand customer-specific requirements and data science related issues and translate them into model enhancement feature requests and tuning options - Collaborate with Data Scientists, Solution Architects and Software Engineers to design and develop tools for the scalable use of AI solutions in supply chain - Write clean, well-structured, documented and efficient (maintainable) code that adheres to software development best practices - Create templates, artifacts, documentation, and training material for the larger data science community, customers and partners towards reusability and automation - Actively and responsively collaborate with the field teams and customers to drive adoption of our new products and services - Communicate and/or support the business cases to PMG and PD regarding specific trends for future product functionality and enhancements - Mentor data science consultants in your own team and/or the wider BY team - Keep up with industry trends in data science practice and continuously improve the team's tools and methodologies Our current technical environment: - Software: Python 3-, NumPy, SciPy, scikit-learn, SparkML, pandas, Jupyter Notebook, Matplotlib, Azure ML - Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture - Cloud: MS Azure - Frameworks/Others: Snowflake, Kubernetes, Dataflow, Kubeflow, Keras, TensorFlow, PyTorch, FastAPI What we are looking for: - Graduate degree in computer science, statistics, or a related quantitative field, is required. PhD is a plus. - 3+ years of demonstrated hands-on experience of script programming languages, preferably Python, with the typical PyData libraries like pandas, scikit-learn, TensorFlow, or pytorch, for data analytics and machine learning applications - 5+ years of experience in software development and/or development of applications in the field of Machine Learning, statistical problem solving, data visualisation or similar - Passion for and advanced knowledge of machine learning and statistical problem solving - Demonstrated experience in building end-to-end data pipelines - Demonstrated experience in building and maintaining the code base with git - Demonstrated experience in bringing ML models into production is preferred - High interest and/or experience in GenAI technologies is preferred - Ability to translate complex data into business insights and opportunities to create value - Ability to communicate analytic insights and recommendations to customers without a deep knowledge of statistics by relating data stories to business situations and processes - Ability to create dashboards, visualizations, and reports to communicate statistical findings - Familiarity with business processes for retail, pricing, and supply chain management is preferred - Demonstrated experience with working with big data and parallel computing - Ready to travel to customer sites based on business needs, and flexible to work with overlapping time zones

About The Role Job Title - S&C Global Network - AI - T&O - Human Capital Analytics Analyst Management Level: 11-Analyst Location: Bengaluru, BDC7C Must-have skills: Human Capital Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Overview:- We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Who we are looking for Education : Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from premier institute Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Good to Have:- PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. 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. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

Looking to onboard skilled Data Analysts with 2 to 5 years of experience to join our team at Mirafra Software Technologies Pvt Ltd. The ideal candidate will have a strong background in data analysis and interpretation, with excellent problem-solving skills. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and maintain databases, spreadsheets, and reports to track key performance indicators. Collaborate with cross-functional teams to design and implement data-driven solutions. Communicate findings and recommendations to senior management through clear and concise reports. Identify areas for process improvement and implement changes to increase efficiency. Stay up-to-date with industry trends and emerging technologies to continuously improve skills. Job Requirements Strong analytical and problem-solving skills, with the ability to interpret large datasets. Excellent communication and interpersonal skills, enabling effective collaboration with stakeholders. Proficiency in Microsoft Office, particularly Excel, Word, and PowerPoint. Ability to work in a fast-paced environment, prioritizing tasks and managing multiple projects. Strong attention to detail, ensuring accuracy and quality in all work. Familiarity with data analysis tools and software, such as SQL or Tableau. Location - Bengaluru,Hyderabad,Chennai,Pune

Your role and responsibilities: In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions. The work model for the role is: LI #Hybrid This role is contributing to the Process Automation Business of Energy division in Bangalore . You will be mainly accountable for: Support cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Implement wide range of projects, building large-scale distributed fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure. Build, develop, and maintain analytical models that support key business decisions. Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations Qualifications for the role (Mandatory) Masters degree in computer science, Statistics, Applied Mathematics, or related scientific field. 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments. Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields. Well versed with production data pipelines and applications Strong problem-solving skills and passionate about GenAI to contribute to user-facing product Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets.

SUMMARY Job Role: Oracle EBS with Python Specialist Location: Pune/Hyderabad/Bangalore Experience: 4 years of relevant experience in Oracle EBS with Python scripting Job Description: Develop and manage Python scripts for ETL (Extract, Transform, Load) processes from Oracle EBS modules Automate repetitive tasks in Oracle EBS using Python frameworks such as Pandas and NumPy Create RESTful APIs using Fast API or Flask to connect Oracle EBS with external systems Utilize MongoDB, SQL-based databases, SAS, Hive, and Teradata for backend data operations Optimize Python code for efficient large-scale data processing and transformation Collaborate with Oracle EBS technical teams to customize modules and develop RICE components (Reports, Interfaces, Conversions, Extensions) Construct predictive analytics models using Python for supply chain forecasting and inventory optimization Requirements Proficiency in Python 3.6 or higher, including libraries for data manipulation and machine learning (Pandas, SciPy, NumPy) Experience with Oracle EBS R12 modules, particularly SCM, PO, Inventory, and OPM Strong understanding of SQL, PL/SQL, and Oracle database architecture Knowledge of XML Publisher, Blitz Reports, and Oracle RDF reporting tools

Title and Summary Associate Managing Consultant/Associate Managing Consultant Business Experimentation Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Business Experimentation consultants advise executives on business decisions using Mastercards industry-leading predictive analytics SaaS platform, Test & Learn. They work with customers to identify key priorities, then design and run business experiments to establish which ideas work and how to deploy them. Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop strategies and programs for regional and global clients by leveraging data science tools including Test & Learn Manage working relationship with client managers, and act as trusted and reliable partner Provide analytical and technical subject matter expertise and drive client success through Test & Learn adoption and competency Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems using Test & Learn, synthesize analyses into relevant findings, and create impactful storylines Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Qualifications Basic qualifications Undergraduate degree with analytical experience in consulting, analytics, or data science Experience managing clients or internal stakeholders Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Logical, structured thinking and affinity for statistical and numerical analysis Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional relevant data and analytics experience in data modeling and database management (e.g., SQL), data visualization tools (e.g., Tableau, Power BI), or time series analysis and segmentation Experience managing tasks or workstreams in a collaborative team environment with third parties Experience coaching junior delivery consultants Relevant industry expertise MBA or masters degree with relevant specialization (not required)

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

Immediate Openings for Business analyst Data analyst ( Fin Crime ) - PUNE - Contract to hire Experience: 6+ Years Skill: Business Analyst, Financial Crime. Location: PAN INDIA Notice Period: Immediate Employment Mode: Contract to hire Working Mode: Hybrid Job Description: Financial Crime knowledge is highly desirable but less critical to the role. Knowledge of managing customer data across a complex environment with multiple customer masters is critical Understanding the challenges of a distributed data environment, how to navigate it and how to effectively consolidate it Some experience in implementation planning (via solution design iterations) in relation to new complex data models Ability to communicate well with senior stakeholders, including influencing and adoption of ideas. Hands on DA - good at data systems, dq, data transformation, dig in and investigate Understand lineage, data quality, data criticality and governance Data model implementation strategy

Build daily dashboards for voice, SMS, and email performance funnels. Develop account-specific benchmarks for onboarding, activation, and expansion stages. Identify gaps and trends using historical data analysis. Run predictive models for rollbacks, cure rates, and recovery likelihood. Prepare QA sampling and reporting for agent call reviews. Partner with PMs and Portfolio Managers on A/B test results and campaign pivots. What We re Looking For: 2-3 years of analytics experience in fintech, collections, or SaaS. Strong technical skills: Advanced SQL, Excel (macros, pivot tables), BI tools (Power BI, Tableau). Familiarity with AI/ML-based predictive analytics a plus. Knowledge of data privacy and secure handling protocols. Problem-solving mindset with strong communication and storytelling skills. Ability to work in US business hours.

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.

Skill required: Omnichannel - Customer Service Designation: Customer Contact Comms Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Customer Support vertical and help us in managing/ resolving customers query, handling escalations and complaints of the dissatisfied customers & giving best resolutions. You will also be responsible for closing the fault and complaints within SLA s.Candidate who is good in email and chat process, who is good in typing is what is preferred hereCustomer service refers to the assistance and support provided by a business or organization to its customers before, during, and after a purchase or use of a product or service. It involves addressing inquiries, resolving issues, and ensuring customer satisfaction to build and maintain positive relationships. What are we looking for Adaptable and flexibleAbility to perform under pressureDetail orientationAbility to establish strong client relationshipWritten and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner 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 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 Customer Insights Analytics Insights Market research Familiarity with tools like Kantar Track, Power BI Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team 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 Qualification Any Graduation

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Campaign Analytics & Reporting Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Gurugram. 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- Lead and mentor junior professionals- Drive innovation and continuous improvement Professional & Technical Skills: - Must To Have Skills: Proficiency in Campaign Analytics & Reporting- Strong understanding of data analysis techniques- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience in implementing various analytics algorithms- Solid grasp of data munging techniques Additional Information:- The candidate should have a minimum of 5 years of experience in Campaign Analytics & Reporting- This position is based at our Gurugram office- A 15 years full time education is required Qualification 15 years full time education

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.

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

Role Description : Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the data scientists in hands-on mode developing and deploying advanced machine learning models, including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to autonomously discover problems and identify root causes and recommend actions in real-time and batch processing scenarios Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights. Reference Architectures : Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality, integrity, and accessibility for model training and inference. Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements. Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, Pre-sales: Support pre-sales, marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements. Technical Skills : In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI Able to understand the nuances of business problems in various domains, quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc. Experience in leveraging open-source LLMs and prompt engineering and RAG based SLM model development Hands-on with excellent ML programming skills in Python using open-source libraries Qualifications Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies 14-16 years of Machine Learning model development and application experience Experience in building cloud-based products that implement ML modelling as a service would be ideal

Educational Requirements Bachelor of Engineering Service Line Global Delivery Responsibilities Key Responsibilities:Design and implement AI-driven RCA and impact analysis frameworks integrated with observability platforms.Utilize Agentic AI and GenAI technologies to automate and enhance decision-making in incident response and service reliability.Integrate observability tools (e.g., AppDynamics, Dynatrace, DataDog, Grafana, CloudWatch, Splunk, ELK) with AI models for intelligent alerting and diagnostics.Collaborate with SRE, DevOps, and platform teams to define observability KPIs and RCA workflows.Develop autonomous agents for real-time monitoring, anomaly detection, and resolution.Drive innovation in predictive analytics and self-healing systems using GenAI capabilities.Ensure scalability, security, and compliance of AI-integrated observability solutions. Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional Requirements: Required Skills & Experience:Hands-on experience with GenAI and Agentic AI frameworks (e.g., LangChain, LangGraph).Strong understanding of Root Cause Analysis (RCA) and Impact Analysis methodologies.Experience in designing AI-powered automation and monitoring systems.Familiarity with cloud-native architectures and distributed systems.Excellent analytical, problem-solving, and communication skills. Preferred Skills: Technology->Microservices->Microservices API Management Technology->Microsoft Technologies->.Net Application Development Technology->Infra_ToolAdministration-ITSM->ServiceNow->ITSM Foundational->SDLC->Problem Analysis->Root Cause Analysis Technology->Machine Learning->Generative AI Technology->Machine Learning->Responsible AI

Job Characteristics: Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to: Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.