1575 Predictive Modeling Jobs - Page 15

Job Title / Primary Skill: AI Engineer 2 Years of Experience: 4 to 8 years Job Location: Bangalore (Hybrid) Must Have Skills: Python/Pyspark, ML/AIMl, SQl, Azure Educational Qualification: BE/BTech/ MTech/ MCA Job Description: AI Engineer 2 role to support development and deployment of new/innovative healthcare analytics algorithms solutions across multiple deployment environments. You will be working with multi-disciplinary project teams with industry expertise, technology skills, and functional knowledge. Typical activities will include requirements gathering, design, and development of software solutions and tools for machine learning (ML) development. This will involve creating ML and algorithmic solutions to process and analyze highly complex, large-scale medical data, addressing current healthcare challenges. Requirements: Bachelors degree from a top-tier university with consistent outstanding academic record (degree in computer science or statistics is preferred) 3+ years of experience in roles focused on Machine learning tool or pipeline development to solve complex problems involving big data. Exceptional analytical and quantitative problem-solving skills Strong proficiency in Python, Pyspark and SQL Experience with machine learning algorithms & tool development Understanding of coding practices and version control software such as Git, ability to write clean and efficient code, and a good understanding of the Data Science package landscape. A proactive, innovative, and pragmatic approach to problem solving and the ability to think critically and independently, able to work as part of a cross-functional team. Bonus points for: Knowledge of containerization technologies like docker. Experience in cloud technology like Azure Experience in automated cluster management tool like Databricks Experience in an informatics/data science team of a health systems/IDN, including knowledge of healthcare data, EMR integration, types of environments used for data solution development/deployment, etc. Knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. XGBoost), support vector machines, etc Good understanding of classical statistical methods, such as fitting regression models, inference testing and sampling Responsibilities: Innovate analytical solutions on large scale healthcare data. Develop and implement algorithms using Python/Pyspark with Object Oriented methods to support scalable and reusable data processing and analysis. Develop innovative and effective approaches to solve problems and communicates results.

Project description We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions. Responsibilities Build end-to-end Gen AI solutions develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects Lead the integration of LLMs and LangChain into business processes. Utilize Python and other data manipulation languages proficiently to prepare and manipulate data. Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives. Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations. Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies. Skills Must have Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field. At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain. Proficiency in Python and other applicable programming languages. Strong knowledge of machine learning, data mining, and predictive modeling. Excellent understanding of machine learning algorithms, processes, tools, and platforms. Possess strong problem-solving and strategic thinking abilities. Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches Agentic AI / Generative AI solution design and implementation Exceptional communication, documentation and presentation skills and stakeholder management experiences Nice to have Knowledge of Agile Other Languages English: C1 Advanced Seniority Regular

The candidate for this role should have a strong background in machine learning algorithms, deep learning frameworks, and practical experience in building and deploying AI solutions. You will collaborate with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. Your responsibilities will include designing, developing, and deploying machine learning and deep learning models for various business applications. Leading and contributing to projects involving Generative AI, collaborating with data scientists, software engineers, and product managers to deliver end-to-end AI solutions, analyzing and preprocessing large datasets, developing predictive models and algorithms, evaluating and optimizing model performance, and staying up to date with the latest advancements in AI/ML and Generative AI research and technologies. You should be a self-directed and proactive professional who takes initiative, adapts quickly to new technologies and changing requirements, and strategically applies knowledge to solve complex business problems. It is essential to stay current with emerging AI trends, drive innovation, maintain a focus on code quality and best practices. To qualify for this role, you will need a Bachelor's degree in computer science, Data Science, Statistics, or a related field. 3-4 years of experience in AI/ML project development with a minimum of 2 years of hands-on experience with Generative AI is required. Proficiency in programming languages such as Python, experience with data manipulation libraries, and a solid grasp of machine learning techniques and algorithms are essential. Hands-on experience with various AI technologies and frameworks, as well as experience developing and deploying ML models via REST APIs, is also necessary. Preferred qualifications include relevant certifications in data science from reputed universities specializing in AI, strong analytical and problem-solving skills, effective verbal and written communication skills, and good presentation skills. At Emerson, a workplace where every employee is valued, respected, and empowered to grow is prioritized. The company fosters an environment that encourages innovation, collaboration, and diverse perspectives. Career development, inclusive culture, competitive benefits plans, flexible time off options, and employee wellbeing are key priorities at Emerson. Emerson is a global leader in automation technology and software, helping customers in critical industries operate more sustainably while improving productivity, energy security, and reliability. The company celebrates diversity, embraces challenges, and offers opportunities for professionals at all stages of their careers to make a difference.,

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Function: SOC Thermal analysis methodology developmentencompassing SoC, package and systems, for various Qualcomm products going into smartphones, laptops, automotives and virtual reality headsets. Developing strategies to predict and improve thermally constrained scores (AnTuTu/Geekbench) and also measure/tune it on post-Si platforms, including infrared imaging. Thermal measurement The candidate will be responsible for improving thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Skills: Should possess strong analytical skills and mathematical modeling abilities. Knowledge of SOC stack up is must Good knowledge of scripting in PERL/Python required; some exposure to Machine Learning algorithms/frameworks will be a plus. Need to have thorough knowledge of heat transfer mechanisms and CFD. Proficiency with state-of-the-art thermal analysis tools- Ansys Icepak/Flotherm Thermal Measurement will be preferred skill Experience: BE/ME graduates with 1 to 3 years of experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

About the role: This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves. What you will do: Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities Solve ‘Search’ value stream problems and help improve Gartner’s client experience in finding the most meaningful and valuable insights Build user query understanding and intent refinement models to refine query to content similarity Build and incorporate LLMs in addition to vector search capabilities Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions Collaborate with engineering and product teams to launch MVPs and iterate quickly Independently plan and drive data science projects that deliver clear business value. What you will need: 6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred Demonstrated ability to translate quantitative analysis into actionable business strategies. Strong communication skills in technical and business domains Working experience in some of the following data science areas: Machine Learning and Predictive modeling Text mining and Natural Language Processing Search or Recommendation systems Data analytics with multi-dimensional data Generative models Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies Ability to implement latest ML research to improve our current algorithms Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Experience with cloud computing services such as AWS or Azure ML Ability to work collaboratively across product, data science and technical stakeholders Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone Bias for action and client outcome oriented

Trimble Information Technologies India Pvt Ltd is looking for Business Intelligence Professional to join our dynamic team and embark on a rewarding career journey Data Collection and Integration:Gather data from various sources within the organization and external sources Integrate data from different systems to create a unified and comprehensive dataset Data Analysis:Analyze large sets of data to identify trends, patterns, and insights Utilize statistical and analytical tools to interpret data and generate meaningful reports Reporting and Visualization:Develop and design reports and dashboards to communicate data-driven insights Use BI tools (eg, Tableau, Power BI) to create visually appealing and easily understandable presentations of data Business Performance Monitoring:Monitor key performance indicators (KPIs) and provide regular updates to stakeholders Identify areas of improvement and suggest strategies for enhancing business performance Predictive Analysis:Utilize predictive modeling and forecasting techniques to anticipate future trends and business outcomes Database Management:Manage and maintain databases, ensuring data accuracy, integrity, and security Collaboration:Collaborate with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide relevant insights Continuous Learning:Stay informed about industry trends, emerging technologies, and best practices in business intelligence

Visa Inc. is seeking a highly skilled Data Engineer to join our Data Analytics team. The ideal candidate will possess strong data engineering skills, analytical domain knowledge, and experience with Google Analytics data, GA4 behavioral data pipelines, and Google BigQuery. Additionally, the candidate should have knowledge of Generative AI (GenAI) frameworks, a keen interest in exploring automation opportunities in the data engineering domain, and a solid understanding of dealing with big data and querying it effectively. This role will be pivotal in developing and maintaining data pipelines and analytical solutions to enhance our digital presence and improve customer engagement. Responsibilities: Design, develop, and implement data integration and analytics solutions using Google Analytics data and Google BigQuery. Architect and maintain scalable data pipelines for GA4 behavioral data, ensuring data quality and integrity. Collaborate with cross-functional teams to gather requirements and deliver data-driven business solutions. Perform data cleaning, transformation, and analysis to provide actionable insights. Develop and maintain ETL processes using technologies such as Hadoop, Hive, Spark, and SQL. Optimize data queries and manage data storage solutions to support advanced analytics. Implement best practices for data engineering and ensure compliance with data governance policies. Explore and implement automation opportunities in data engineering using GenAI frameworks. Provide technical support and troubleshooting for data-related issues. Handle large-scale data processing and querying using tools like Google BigQuery, ensuring efficient data retrieval and analysis. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications Bachelors degree in Computer Science, Information Technology, or a related field.

About the Company: Maruti Suzuki India Limited is a leading automobile manufacturer in India. A subsidiary of the Japanese automotive company Suzuki, Maruti Suzuki has been dominating the Indian car market for over three decades with its wide range of budget to premium cars. The company is known for its quality, reliability, and value for money offerings that have earned it the trust of millions of Indians. Role Purpose: The Data Scientist at Maruti Suzuki India Limited will be responsible for leveraging large sets of data, statistical sciences, and predictive modeling to create business strategies and improve operations. Key Responsibilities: Required Skills/Qualifications: Work Environment/Location: This role is based in our head office in New Delhi, India. The company offers flexible working hours with a hybrid model, combining in-office days and remote working.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA 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. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while keeping abreast of the latest technologies and methodologies in application development. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will engage in the ongoing technical support and maintenance of both production and development systems, as well as software products. Your typical day will involve addressing various technical issues, providing hardware and software support, and implementing technology solutions across different platforms. You will work both remotely and onsite, ensuring that all systems operate smoothly within defined processes and operating models. Your role will also include troubleshooting at both basic and intermediate levels, contributing to the overall efficiency and reliability of the technical environment. 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 documentation of technical processes and procedures to enhance team knowledge.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery solutions for SQL Server.- Familiarity with performance tuning and monitoring tools.- Knowledge of security best practices for database management. Additional Information:- The candidate should have minimum 2 years of experience in Microsoft SQL Server Administration.- This position is based at our Jaipur office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Business Requirements Analysis Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE or Btech Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your role will involve collaborating with multiple teams and engaging in key decision-making processes to provide solutions for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead current state assessments to identify high-level customer requirements- Define business solutions and structures to realize opportunities- Develop a business case to achieve the vision Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Requirements Analysis- 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 Business Requirements Analysis- This position is based at our Coimbatore office- A BE or Btech is required Qualification BE or Btech

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 FI S/4HANA Accounting Good to have skills : NAMinimum 7.5 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 managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FI CO Finance- 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 SAP FI CO Finance- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Guidewire Digital Portals Good to have skills : React.jsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Architect, you will analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. 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.- Analyze and design new business processes to create documentation for implementation.- Partner with the business to define product requirements and use cases.- Participate in user and task analysis to represent business needs.- Collaborate with cross-functional teams to ensure successful process implementation.- Identify areas for process improvement and recommend solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire Digital Portals.- Good To Have Skills: Experience with React.js.- 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 2 years of experience in Guidewire Digital Portals.- This position is based at our Bengaluru 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 Sales and Distribution (SD) Good to have skills : NAMinimum 7.5 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 managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to 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 project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- 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 SAP Sales and Distribution (SD)- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

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 : Microsoft Azure Data Services Good to have skills : NAMinimum 18 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. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving discussions, ensuring that solutions align with business objectives and technical standards. Your role will require you to facilitate communication between stakeholders and technical teams, ensuring that projects progress smoothly and efficiently while adhering to timelines and quality standards. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Mentor junior professionals, providing guidance and support in their development.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Strong understanding of cloud architecture and deployment models.- Experience with data integration and ETL processes.- Familiarity with application lifecycle management and DevOps practices.- Ability to analyze and optimize application performance. Additional Information:- The candidate should have minimum 18 years of experience in Microsoft Azure Data Services.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for HR Analytics Text Analytics Python Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Prioritization of workload Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. 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 Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. 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. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

JR: R00229254 Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. ---- Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Manager Management Level: 6-Senior Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI 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. As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/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. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Lead proposals, and business development efforts and coordinate with other colleagues to cross-sell/ up-sell Life Sciences offerings to existing as well as potential clients. Lead client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Collaborate closely with cross-functional teams including Data engineering, technology, and business stakeholders to identify opportunities for leveraging data to drive business solutions. Lead and manage teams to deliver transformative and innovative client projects. Guide teams on analytical and AI methods and approaches Manage client relationships to foster trust, deliver value, and build the Accenture brand Drive consulting practice innovation and thought leadership in your area of specialization Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. 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. Proven experience in cross-sell/ up-sell Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP, etc. Experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Excellent analytical and problem-solving skills, with a data-driven mindset. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 11-15 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Gurugram/Bangalore Notice period: Immediate to 30 days..!! Roles and Responsibilities Develop market mix models using MMM, SAS, and other tools to drive business growth. Conduct customer segmentation and market basket analysis to inform marketing strategies. Collaborate with cross-functional teams to develop predictive models for campaign optimization. Provide insights on retail analytics, marketing analytics, and advanced analytics to support business decisions. Work closely with stakeholders to identify key performance indicators (KPIs) and develop data-driven solutions. Desired Candidate Profile 3-8 years of experience in Market Mix Modelling/MMM models development. Strong proficiency in Python programming language and its applications in analytics. Experience with CPG industry knowledge is preferred but not mandatory. Proficiency in SAS or similar statistical software for data manipulation and analysis.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.

Were hiring a Data Analyst to turn raw data into meaningful visualizations and reports. Key Responsibilities: Analyze structured and unstructured data. Create dashboards and reports for decision-making. Identify trends and provide actionable recommendations. Collaborate with product and business teams. Required Qualifications: 2+ years in data analysis. Strong SQL and Excel skills. Proficient in Tableau/Power BI or similar.