347 Text Mining Jobs - Page 11

ZSs Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What you'll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc). A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring: A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc ) . A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Job Expectations The candidate will be responsible for leading a team of data scientists who provide analytics services for Applied Materials installed base. The deliverables include developing new service capabilities, piloting them, and commercializing them in partnership with Engineering and Service Product Managers. The team will work with field engineers and product engineering teams to understand the requirements, bring forward creative ideas, develop proofs-of-concept, architect, design, develop, and modify algorithms into production code, provide production support, and train end-users. The skill sets in the team include descriptive statistical analysis, predictive statistical analysis using AI/ML, data visualization and analytics process automation, data cleansing, complex image processing, and text processing. Candidate should be willing to learn and adopt semiconductor industry as their career domain. Key Responsibilities Responsible for managing completion of assignments, projects and programs to support Applieds service business. Scope of algorithm development includes research, design, code development, implementation, and proliferation. Execute projects as needed to support the business. Review and monitor progress to milestones on development programs. Develop roadmaps for algorithmic development programs. Oversee algorithmic concept and feasibility for algorithmic modules, including problem statement definition, data gathering, literature review, concept selection, risks, and implementation constraints. Oversee documentation of algorithmic development and deployment, including integration into required systems, user testing, and user training. Oversee software and hardware implementation. Interact with internal and external customers to define gaps, identify opportunities, define program scope and deliverables, and proliferate solutions to the user base. Present to management for project reviews, interact with project stakeholders, run regular cadence meetings and work in alignment with team and organization goals. Responsible for technical development of team, objective setting, and performance management. Develop growth plan for the team, including identification of new areas of impact. Preferred programming and data science skills includePython, C++, Unix, Image Processing, Deep Learning, AI/ML, NLP, GenAI, Text Mining, Database Design and Management, Web Scraping, GPU Optimization. Proficient in business processes and software such as Microsoft Word/ Excel/ Powerpoint/ Teams, Atlassian JIRA and Confluence. Highly organized and detail-oriented. Ability to build and maintain positive and productive inter-departmental working relationships. Ability to work in a cross-functional organization and multitask on multiple projects. Drive team members to deliver programs on time and on budget. Excellent oral and written communication, organizational, analytical, and interpersonal skills. Interest in building a career in the semiconductor industry. Functional Knowledge Demonstrates comprehensive understanding of concepts and principles within own job family and knowledge of other related job families. Business Expertise Applies in-depth understanding of how own discipline integrates within the segment/function. Leadership Manages multiple related teams, sets organizational priorities and allocates resources. Problem Solving Identifies and resolves complex technical, operational and organizational problems. Impact Impacts the business results of a team or area by supporting and funding of projects, products, services and/or technologies and developing policies and plans. Guided by business unit, department or sub-functional business plans. Interpersonal Skills Influences others internally and externally, including senior management. Position requires understanding of Applied Materials global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials core values. Education Bachelors, Masters, or Ph.D. Degree in Computer Science, Mathematics, or Engineering with a concentration in data science or AI/ML. Experience 15 years of experience Computer Science/ Mathematics/ Engineering background with 15 years of experience in performing statistical analysis, designing and developing Image Processing/ Computer Vision Algorithms, handling and analyzing large volumes of data. Semiconductor background is an added advantage. Prior team leadership experience is required. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 20% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Education Qualifications & Experience: Bachelor's degree in any field, Data or Business Analytics or a related field (preferred) 5+ years of experience in international call Centre quality assurance, Good to have experience with at least 2 years working with speech analytics or AI-driven monitoring tools Key Responsibilities: Recognize agent or process opportunities from operation's meetings, calibration, call scores, dashboards, KPI targets, quality reports, and AI-based tool reporting Build queries on an AI tool for capturing opportunities, failures, gaps, improving scorecards, for specific business requirements, improving sales, and on requests from Operations or Quality teams. Schedule reporting from the AI tool to all the stakeholders Perform a daily system test of the speech analytics tool, report the identified issues to the vendor, and if necessary, to the internal stake holders Update the news article on the tool requested by Marketing, Operations, and Quality teams. Identify the need for coaching on specific topics/campaigns/procedures to build news articles and publish on the tool Add and update activities on the AI tool for any survey, poll, rewards, or KPI and review the result in reports and dashboards Coordinate with Operations, Quality and Leadership to discuss the modification, addition, or deletion in scorecards Review the accuracy of scorecards timely. Take input from Operations and Quality to improve scores Monitor manual scoring by QAs and QA reports on the AI tool. Point out inaccuracies, give feedback, refreshers, and prepare Job aids to keep everyone in agreement with the process Prepare detailed AI-driven reports highlighting agent performance, sentiment trends, and compliance adherence, process KPIs, and custom KPIs Monitor AI-generated predictive analytics to anticipate potential performance risks and proactively implement solutions Skills and Qualifications: Strong experience with speech analytics and AI-based quality monitoring tools (e.g., NICE Nexidia, Verint, CallMiner, Observe.AI, or similar) Analytical mindset with the ability to interpret AI-generated insights and translate them into actionable strategies Advanced knowledge of call center KPIs, compliance frameworks, and quality assurance methodologies Proficiency in reporting tools, dashboards, and data visualization platforms (Excel, Power BI, Tableau, PPT etc.) Excellent communication skills, both written and verbal. Spanish is a plus, not required Ability to collaborate with different teams to effectively leverage AI tools for process improvement

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ? ? ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

You Lead the Way. we've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and lets lead the way together. How will you make an impact in this role? Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Purpose of the Role: The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. The specific responsibilities include: Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for credit, fraud, or other business/ risk types. Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards Conduct research to explore opportunities to elevate model excellence and drive business impact Seek and incorporate external perspective in day-to-day work and projects Communicating results to partners, senior leadership and various model committees Critical Factors to Success: Business Outcomes: Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models Maximize business returns by institutionalizing efficient and accurate models. Innovate modeling techniques and variable creation Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning Leadership Outcomes: Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world s best customer experiences every day Past Experience: 0-2 years experience in credit and fraud analytics, machine learning or both Academic Background: B.tech / B.Eng, MBA, masters Degree In Economics, Statistics Or Related Fields From Top Tier Institute Functional Skills/Capabilities: Hands-on model development or validation experience. Strong Analytical and Relationship and project management skills for driving validation initiatives. Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred. Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution. Effectively communicating complex Analytical results to Business Partners and Senior Management. Flexibility and Adaptability to Work Within tight deadlines and changing priorities. Technical Skills/Capabilities: Experience with at-least one of the data manipulation tools such as R, Python, SQL and SAS is a must have. Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms. Behavioral Skills/Capabilities: Enterprise Leadership Behaviors: Set The Agenda : Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others With You : Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It The Right Way : Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 2 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BTP Datasphere Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation 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 the effort to design, build, and configure applications- Act as the primary point of contact for the application development process- Oversee the entire application development process- Ensure successful implementation of applications Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BTP Datasphere- 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 SAP BTP Datasphere- This position is based in Pune- A 15 years full-time education is required Qualification 15 years full time education

ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

fleetx.io is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail

Let’s do this. Let’s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree ORdata science and/or analytics experience Master’s degree and 4 to 6 years of data science and/or analytics experience OR Bachelor’s degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com

Job Information Job Opening ID ZR_2452_JOB Date Opened 05/04/2025 Industry IT Services Job Type Work Experience 3-5 years Job Title Ai engineer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :No Technology Specialization Minimum 10+ year(s) of experience is required

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : API Testing Good to have skills : Python (Programming Language), Java Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. 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 team planning and ecosystem integration. Develop end-to-end testing strategies using quality processes. Define and implement key metrics to manage and assess the testing process. Professional & Technical Skills: Must To Have Skills: Proficiency in API Testing. 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. Must to have additional skills - Python, Java. Additional Information: The candidate should have a minimum of 5 years of experience in API Testing. This position is based at our Gurugram office. A 15 years full time education is required. Qualification 15 years full time education

Data Scientist (6-8 Years Experience) Company Overview Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology, and Operations services"”all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. At Accenture, we offer a dynamic and challenging environment for analytical and creative minds. We value a diverse workforce committed to achieving client goals and delivering results. Were built on a foundation of exceptional talent and are on the lookout for driven, energetic professionals to enhance our team. Key Responsibilities Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture's spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Technical Requirements Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Collaboration and Communication Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Other Important Details Work Location:Gurugram, India Expected Start Dates:July 2024 Qualifications Who Should Apply? Work Experience:6-8 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelor’s or Master’s degree in Engineering, Mathematics, Computer Science, or a related field. Job Requirements: - Extensive experience in handling and classifying spend data using AI/ML Techniques. - Strong leadership and team management skills. - Proficiency in MS Excel and MS PowerPoint. - High attention to detail, accuracy, and innovative problem-solving skills. - Preferred experience in supply chain management, with a focus on applying AI/ML techniques to optimize operations.

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 Data Analytics Good to have skills NA Minimum 7.5 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs 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 Mumbai. You will lead a team in delivering high-quality solutions and ensuring project success. 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 the team in project planning and execution- Mentor team members and provide guidance- Ensure project milestones are met on time Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics- 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 7.5 years of experience in Data Analytics- This position is based at our Mumbai office- A 15 years full time education is required Qualification 15 years full time education

Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You Will Bring Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Mentor junior data scientists and handle multiple projects at the same time. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Qualifications Bachelors/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Education qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead the data science projects end to end. Experience in leading data science initiatives in customer care and customer growth like Chatbot, Agent Auto Response, Search Engine Optimization, Marketing etc Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, Data/Text Mining, Convex Optimization, Text Retrieval Algorithms Experience in statistical learning: Generalize linear model, Time Series, Dynamic/Causal Model, Statistical Learning Ability to utilize the data science solutions outcomes to drive the predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data. Ability to scale and deploy the data science solutions Strong Experience with one or more of Python and R Experience in Working with GCP Experience in deep learning and worked in TensorFlow/Torch Experience with GPU/CUDA for computational efficiency Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field.

Job Description If you have a passion for analytics and a desire to leverage product data to shape the product roadmap, this role is for you. As a product analyst, youll collaborate with Product & Engineering, along with a few cross-functional teams, to provide data-led decision-making support for the product. The ideal candidate should feel comfortable working with complex data, understand product implementation, confidently navigate ambiguity in business processes, and have hands-on experience in data analysis. Moreover, the ability to translate data into practical insights to assist Product Management with a strategic lens is essential. Familiarity with basic product metrics will be key. NOTE: This is an individual contributor role with a career path to grow into a SME. Take ownership of end-to-end product analytics autonomously. Act as a Product Owner to drive instrumentation goals, ensuring constant updating of product telemetry. Demonstrate the ability to comprehend complex data and product landscapes, and a willingness to navigate ambiguity, simplifying them for product management. Collaborate daily with Product Managers, Engineering, TPM, and Operations. Engage in cross-functional interactions with Marketing, Customer-facing teams, and senior leadership on product-centric, cross-functional business requests as needed. Apply strong database skills to extract insights from large, intricate datasets. Filter and refine unstructured (or ambiguous) data into usable datasets, which can be analyzed to extract insights and enhance business processes and product decisions. Extract value from existing analytics frameworks and step in to construct new ones as required by the business. Provide reports on product health and feature benchmarking. Identify optimization/at-risk areas for customers using product telemetry, incorporating a blend of heuristics and predictive models. Monitor product adoption KPIs and connect them with adjacent business data models to uncover expansion and retention opportunities. Communicate findings to stakeholders and spearhead initiatives aimed at improving business performance. Qualifications Sound knowledge of standard descriptive statistical techniques and proficiency in using predictive analytical models when necessary. Excellent communication skills, including the ability to storyboard and present insights concisely. Hands-on experience with DBMS systems and proficiency in framing SQL queries for complex data manipulation. Expertise in creating and automating data workflows. Proficiency in Python and R for building predictive and exploratory analytical models. Ability to craft compelling narratives with data using appropriate visuals and hands-on experience in building and maintaining dashboards using tools such as Power BI, Looker, Tableau, Sisense, etc. Proven track record of collaborating with stakeholders and delivering analytics projects with measurable impact. Ability to act as a Product Owner, driving instrumentation and telemetry for new features. Experience with text mining, recommender systems, and social media analytics is an added advantage.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Associate Consultant Data Science Associate Consultant (DSA) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll D o Stay updated with the latest developments in Deep Learning and AI research. Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data (e.g., time series, text, and vision). Apply knowledge of large language model (LLM) fine-tuning and alignment approaches to improve model performance. Utilize active learning techniques to train models more efficiently and effectively. Collaborate with cross-functional teams to develop and deploy machine learning models in production. Contribute to research projects aimed at advancing the field of AI and machine learning. Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning methodologies. Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability. Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems. Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible data science workflows. What You’ll Bring Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions Knowledge of programming (e.g. Java/Python/R); Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Exposure to Generative AI and its usage to solve problems is a plus. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc. ) . A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. About Advanced Data Science (ADS) ZS’s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches. Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community. A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions Deliver client impact by collaboratively implementing these solutions Provide thought leadership by developing the ZS Point of View in this space Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. What You’ll Do: Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. Develop and implement data science strategies that align with the overall goals of the AI team and the organization. Drive business and strategy development through project delivery and client relationship management; Develop/sell new business opportunities Direct multiple projects simultaneously, honing analytic and project management skills; Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Motivate, coach and serve as a role model for project team members Provide thought leadership and innovation through research and publication. What You’ll Bring PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute. Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.); Relevant programming background (e.g. Python/R); Strong understanding of relevant tools/platforms (e.g. cloud platforms such AWS/Azure); Proven track record of business development Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare, pharma); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills; Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com