216 Predictive Jobs - Page 6

Flipkart is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journeyData Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process.Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection.Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability.Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders.Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy.Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization.Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities.Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations.

About Info Edge Info Edges mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Shiksha.com Shiksha.com is an online platform that helps students find in-depth information about colleges, courses and exams. It also enables students to interact with domain experts and college/school alumni towards taking exam, course-selection and college-selection related decisions. It has a repository of reliable and authentic information for over 15,000 institutions, 1,40,000 plus courses and gets over 70 million unique visitors per year. Shiksha provides leads of relevant students to Universities and Colleges seeking to admit those students in their courses Desired Experience : 1-5 years Required Educational Qualification: Graduate in any field Role: 1. To be able to make 100-120 outbound calls on daily basis. 2. To answer the queries of the students by understanding their need and requirements. 3. To explain the benefits of our partner colleges to students. 4. Asking appropriate probing questions to create a detailed profile of the student. 5. To maintain the database by entering, verifying, and backing up data in the computer system. 6. To be able to perform under target-based environment. Qualification:- 1. Minimum qualification - UG (Any field is fine) 2. Excellent communication and interpersonal skills 3. Proven experience as telesales representative. 4. Ability to learn about products and services and describe/explain them to prospects.

Working experience of implementation, configuration of Catalyst 9800 Wireless Controller Strong Migration Experience - e.g. Aruba toCisco , AirOS to Catalyst RF design experience - Predictive Surveys, Pre- Deployment/Post-Deployment surveys Strong Basics of WiFi 6/6E DNAC, SDA, Meraki skillset is an added advantage. Location :- BNG Experinec :- 5- 8 years Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations

Bumppy Media Pvt Ltd is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Posted On 19th Jun, 2025 : Position Overview: The Tax Specialist is responsible for managing and ensuring compliance with US federal, state, and local tax regulations. This includes preparing and reviewing tax returns, identifying tax-saving opportunities, and supporting tax planning strategies. The ideal candidate should have expertise in US tax laws and regulations and be skilled in tax software. Key Responsibilities: 1. Tax Preparation and Filing: - Prepare and file federal, state, and local tax returns for individuals, businesses, and partnerships. - Ensure timely and accurate filing in compliance with IRS regulations.2. Tax Compliance: - Stay updated on changes in US tax laws and regulations. - Ensure compliance with all applicable tax rules and deadlines.3. Tax Planning and Advisory: - Assist in developing tax strategies to minimize liabilities. - Advise clients or internal teams on tax-efficient practices.4. Audit Support: - Provide documentation and support during IRS or state tax audits. - Respond to notices and inquiries from tax authorities.5. Documentation and Record-Keeping: - Maintain accurate and organized tax records and supporting documents. - Review financial statements for tax implications.6. Software Utilization: - Use tax preparation software (e.g., TurboTax, Drake, or ProSeries) for accurate filings. - Ensure seamless integration with accounting platforms.Qualifications:- 1+ years of experience in US taxation for individuals and businesses. - Strong knowledge of US tax codes, regulations, and forms. - Proficiency in tax preparation software and Excel. - Excellent analytical, problem-solving, and communication skills.Preferred Skills: - Experience in multi-state taxation. - Familiarity with international tax regulations Key Skills : Company Profile The comapny is a fast-growing professional service group based in Ahmedabad, offering finance and accounting outsourcing to clients worldwide. They help businesses streamline operations, improve financial management, and support growth. With a team of skilled professionals, the company provides advanced business analytics, predictive financial modeling, and real-time reporting, enabling clients to focus on core activities and gain a competitive edge.

Posted On 16th Jun, 2025 : Position Overview: The team is seeking an experienced Senior Accountant in our India office to work directly with the US team on providing Accounting and Finance services to our clients across a wide array of industries. This role will provide internal support to our clients on their day-to-day accounting duties. Ideal candidates will have had experience working with US companies providing general accounting support. Essential Duties and Responsibilities: Complete the clients transactional accounting activities, including accounts receivable andpayable support, month end closing, general ledger activities, account reconciliations, etc. Participate in month-end close, including financial reporting and monthly reportingpackages. Be responsible for multiple companies accounting activities. Prepare, review, and analyze financial statements to ensure accuracy, timeliness, andcompleteness. Assist the client(s) with budgeting and forecast activities. Assist the US team with writing finance policies and procedures for clients. Complete projects as requested such as budgets, forecasts, cost accounting and grossmargin, which may include ad hoc analysis and modeling. Qualifications, Education, and Experience: Bachelors degree in accounting and 2+ years of experience in US accounting. Savvy software skills, including experience with accounting software packages such a QBO & QBD Must be well-organized, attentive to details and possess solid interpersonal communicationsskills. Proven ability to solve issues when they arise, as well as be able to identify when there is aneed to escalate a problem or concern to a more senior team member. Proven ability to multitask and meet deadlines. Ability to work independently, as well as part of a team, including being able to take directionfrom peers and the Managing Director Key Skills : Company Profile The comapny is a fast-growing professional service group based in Ahmedabad, offering finance and accounting outsourcing to clients worldwide. They help businesses streamline operations, improve financial management, and support growth. With a team of skilled professionals, the company provides advanced business analytics, predictive financial modeling, and real-time reporting, enabling clients to focus on core activities and gain a competitive edge.

Job Role: As a Senior Data Scientist, you will be responsible for designing, developing and productionizing of ML-driven solutions to business problems. You will work closely with local and onshore team of data scientists and stakeholders to understand their needs and pain points, and then translate those into actionable data science projects. Your primary focus will be statistical data analyses and helping build high-quality predictive models integrated with our products. The ideal candidate is an experienced data wrangler with a deep understanding of data science principles and a proven track record of delivering ML-driven solutions. S/he will effectively communicate complex technical concepts to technical and non-technical audiences. Key Responsibilities: Plan, productionize, and document scalable Data Science solutions Understand the business problem from stakeholders and convert it to actionable tasks Driven to create in-depth Exploratory Data Analysis and Feature Engineering; experienced with ML Ops Adept at standard and latest ML algorithms and Model explainability. Knowledge about causal inference is a great to-have Help mentor and guide Data Scientists Qualifications - Internal Key Requirements: Experience : At least 8 years of relevant experience Education: Bachelors or masters degree in computer science or mathematics, Statistics or a related field. PhD with lesser experience is welcome. Required Skills: Proficient in ML models across supervised and unsupervised learning, along with knowledge of Deep Learning models using TensorFlow / PyTorch Experienced in Natural Language Processing with focus on Transformer models Experienced in using Generative AI. At least one project implementation is expected Knowledge in MLOps is recommended Extensive coding experience in Python (and R) as well as scripting in SQL Visualization of outputs, using Tableau/ Power BI/ Streamlit, along with crisp communication Strong ability to assess the business problem and suggest applicable data science solutions Great at presenting and explaining model results to any kind of audience Personal Attributes: Ability to adapt and work with a distributed team Ability to manage multiple initiatives Ability to work with ambiguous requirements, seek clarity and manage risks. Ability to communicate complex concepts in a simple yet intelligent way

Admini Boosting Productivity is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

We are looking for a skilled Sr. Data Scientist with 6 to 8 years of experience to join our team at Xcaliber Infotech Pvt Ltd, playing a crucial role in driving business growth through data-driven insights. Roles and Responsibility Develop and implement advanced data models and algorithms to solve complex problems. Collaborate with cross-functional teams to design and deploy predictive analytics solutions. Work closely with stakeholders to identify business needs and develop tailored data science solutions. Design and implement data pipelines and architectures to support business intelligence initiatives. Conduct thorough analysis of large datasets to extract valuable insights and trends. Communicate complex technical concepts to non-technical stakeholders through clear and concise reports. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks like TensorFlow or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Experience with data visualization tools like Tableau or Power BI is a plus.

Key Responsibilities Collect, clean, and preprocess large datasets from multiple sources. Apply statistical analysis and machine learning techniques to solve business problems. Develop, validate, and deploy predictive models and algorithms. Visualize data insights and communicate findings to technical and non-technical stakeholders. Collaborate with product, engineering, and business teams to implement data-driven solutions. Monitor model performance and improve models based on new data and feedback. Stay current with emerging data science techniques and tools. Required Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field. Strong programming skills in Python, R, or similar languages. Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.). Proficient in SQL and database management. Knowledge of data visualization tools (Tableau, Power BI, matplotlib, etc.). Strong understanding of statistics, probability, and algorithms. Excellent problem-solving and communication skills.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Assist in developing and implementing machine learning models for healthcare applications Work with structured and unstructured data to build predictive and analytical models Collaborate with cross-functional teams including data engineers, product managers, and domain experts Support the development and maintenance of data pipelines for model training and inference Contribute to the deployment and monitoring of ML models in production environments Apply standard ML and NLP techniques such as classification, entity recognition, and text summarization Use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development Write clean, efficient code in Python and use version control tools like Git Document model development processes and results clearly for both technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Computer Science, Engineering, Data Science, or a related field 2+ years of experience in data science, machine learning, or analytics Hands-on experience with ML and NLP techniques such as supervised learning, deep learning, and text classification Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch Familiarity with data processing tools such as PySpark or SQL Proven solid problem-solving skills and ability to work in a collaborative environment Preferred Qualifications: Experience working with cloud platforms (e.g., AWS, Azure, or GCP) Understanding of APIs and basic web frameworks like Flask or FastAPI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #njp #SStech #SSF&A

Requin Group is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

About the Role: Grade Level (for internal use): 09 Data Scientist Location: Bengaluru The Team: The Automotive Insights - Supply Chain and Technology and IMR department at S&P Global is dedicated to delivering critical intelligence and comprehensive analysis of the automotive industry's supply chain and technology. Our team provides actionable insights and data-driven solutions that empower clients to navigate the complexities of the automotive ecosystem, from manufacturing and logistics to technological innovations and market dynamics. We collaborate closely with industry stakeholders to ensure our research supports strategic decision-making and drives growth within the automotive sector. Join us to be at the forefront of transforming the automotive landscape with cutting-edge insights and expertise. Responsibilities: Develop and implement advanced analytical models to support S&P Global Mobility's SCT and IMR business strategies. Lead projects leveraging generative AI and intelligent agents to enhance predictive capabilities and automate complex processes. Collaborate with cross-functional teams to generate data-driven insights and solutions for the automotive sectors. Design and optimize data pipelines for efficient data processing and integration across various platforms. Mentor junior data scientists, providing guidance on best practices in data analysis and model development. Required Qualifications: Bachelors or masters degree in computer science, Analytics, Data Science, Statistics, or a related field. 3 to 6 years of experience in building Machine learning or Generative AI applications Proven experience with data analysis tools such as Python, R, or SQL. Strong understanding of machine learning algorithms and frameworks. Expertise in AWS cloud services, including data storage, processing, and machine learning solutions. Experience in deploying and managing machine learning models on AWS. Familiarity with MLOps practices and tools for model lifecycle management. Knowledge of generative AI techniques and applications. Understanding of data engineering and data pipeline optimization. Soft Skills: Excellent communication skills for effective collaboration with cross-functional teams. Strong problem-solving abilities with a proactive approach to challenges. Ability to work independently and manage multiple projects simultaneously. Adaptability to rapidly changing environments and emerging technologies. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

Job Title Process Simulation Specialist Job Location Bangalore As a Simulation expert for Process plants, You will be part of a global product development team for Chemical process in a system integration environment for Marine, Offshore, Onshore, and Process Industry. You will have responsibility inamultidisciplinary (mechanical, electrical power, control system) team working with studies and development of process simulation models. You will contribute to developing simulation solutions, which are part of our integral Electrification, Automation and Digital solutions, which require know-how and background in the respective domains. You will contribute to the development of both the conventional plants as well as new energy projects as part of the execution of R&D projects with piloting in the first customer projects that include all technical documentation. You will, daily, interact with international teams and customers with different cultures. Development of process simulations for different process units and generating simulation models. Able to handle Material and Energy balance, Process flow diagram, P&ID, Process mapping to simulation model. Perform process engineering calculations and assigned tasks in compliance with industry standards and practices Incorporate Complex Loop Control Narratives, Cause and Effect Matrix for Process and F&G System, logic narrativesinto the simulation models. Able to do process analysis, develop simulation models to estimate potential improvement. You will be involved in Fine tuning of controllers in MPC/Fuzzy/PID and implementing innovative technical ideas with process knowledge to achieve performance guarantee to optimize and increase productivity. You will be responsible for Designing, developing, testing and deploying simulation Solution as per identified requirement of various project-based process applications. You will be involved in evaluating new developments in advanced process control technology and working with the development team for software improvements. Knowledge of instrumentation Control requirement & Preparation of plant process control scenarios in simulation environment. Development of customized simulation scenarios based on clientand any project specific requirement. Able to calculate relief load for different over pressurization scenarios in conjunction with international industry codes and standards. Generate documentation (like SOP) and training material that clearly describes simulation model for various process scenarios. How You'll Make an Impact Cross-team engagementCollaborate with cross-functional local and global teams to achieve a binding of simulation model with control solution and working towards a standardized approach for different architectures or variants. Compliance with standardsEnsure that designs comply with industrial and international standards with inherent best practices Team playerAbility to work in a flexible, multi-functional team-based development environment comprising of Siemens Energy personnel and 3rd party consulting/OEMs. DocumentationDetailed design specifications, technical drawings, and user documentation. Strong interest in automation, process control and advanced model- predictive applications. Experience with DCS and/or PLC configuration, especially in the context of integration with external applications. Exposure to advanced process control implementation. Experience with process automation and control systems. Knowledge of process simulation software and computer-aided design (CAD) tools. Working knowledge of any of the Aspen HYSYS, Aspen Plus, EDR, Aspen Flare System Analyzer, PipeFlo (Professional and Compressible), AFT Fathom & Arrow, Intelligent Software, HTRI, FlexSim and Plant design softwares. Have a good understanding of international regulations, international codes, and standards such as API, ASME, and ANSI. Very well understanding of process equipment operational philosophy including Column, Reactor, Vessel, Heat Exchanger, Pump, Compressor, Electrolyzer etc. A keen learner willing to deepen business understanding and blend it with innovative analytical approaches and share the learnings with the team and the broader organization. Model predictive control and real time optimization experience.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Analyze large datasets and develop machine learning models to derive actionable insights for businesses. Focus on using statistical techniques, data visualization, and predictive analytics to optimize decision-making.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Primary Skills Resource should have 6-7 years of experience in BI tools and atleast 2 years in SAC implementation experience. Should have good hands on experience is working on top of SAP and non SAP data sources Resource should have good communication skills and able work with minimal support Should have good Knowledge on SAC various data source connectivity. Different type SAC data model creation (Analytic and Planning) SAC visualizations/story creation Digital Boardroom setup Should have good knowledge in Analytics Designer and R coding Good Knowledge on SAC Planning, Predictive and other advanced features of SAC Resource should have 6-7 years of experience Planning tool ( SAP BPC, BW IP, non SAP planning tool like Anaplan) and atleast 2 years in SAC implementation experience. Should have good hands on experience is working on top of SAP and non SAP data sources Secondary Skills Experience in BI tools and SAC implementation Experience SAC visualizations/story creation Knowledge in Analytics Designer and R coding Knowledge on SAC Planning, Predictive and other advanced features of SAC Experience in Planning tool (SAP BPC, BW IP, Non-SAP planning tool like Anaplan) Experience in working on top of SAP and non-SAP data sources

1. Strong experience in data preparation/data wrangling for data on acquired/import connections. 2. Strong experience in data analyzer. 3. Proficient in SAP SAC functionalities, including data integration, data modeling, story creation, and advanced analytics. 4. Expertise / Knowledge of SAC predictive capabilities, augmented analytics, forecasting, Smart Assist, Smart Predict, Smart Discovery, creating story canvasses, advanced story designing, blending data, formulas, cross calculations, input controls, linked analysis. 5. Understanding of data analytics concepts and best practices and Creation of SAC planning masks, workflows, planning calendars etc. 6. Solid understanding in Filters ; Static and Dynamic . 7. Strong experience in creating geo maps using geo enrichment feature for geospatial analysis and creating Planning models in SAC. 8. Design and implementation of authorizations/roles 9. Create functional designs for reporting to enable developers to build them in SAP BW4HANA/SAC. 10.Around 5-7 Years of experience in Supporting/Development of SAC reports.

Mandatory - must have Cisco Wireless PDI/Migration experience Working experience of implementation, configuration of Catalyst 9800 Wireless Controller Strong Migration Experience - e.g. Aruba to Cisco, AirOS to Catalyst RF design experience - Predictive Surveys, Pre- Deployment/Post-Deployment surveys Strong Basics of WiFi 6/6E DNAC, SDA, Meraki skillset is an added advantage. RATES - 120 k/m Location - Bangalore EXP - 5 - 7 YEARS Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Deliver NoPerformance ParameterMeasure1Operations of the towerSLA adherence Knowledge management CSAT/ Customer Experience Identification of risk issues and mitigation plans Knowledge management2New projectsTimely delivery Avoid unauthorised changes No formal escalations Mandatory Skills: CISCO Wireless Admin. Experience5-8 Years.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Team Overview Target Data Sciences is offering an exciting opportunity to solve state of the art problems in AdTech . Targets Roundel group is emerging as one of the biggest RMN players in US ad-tech ecosystem. As we develop the capabilities of our tech ecosystem, we are looking for driven and passionate individuals with deep AdTech science and engineering experience who can make a change in AdTech development. If you are that person, you can expect to be involved in: Defining, developing and integrating modules for algorithmic decision making with the ad serving tech platform Influencing roadmaps and driving its execution with a team of talented scientists Developing a multi-year vision of embedding science with adtech platform and collaborating with engineers and science team to bring it to life Example of Problem Statements How to maximize yield for advertisers and revenue for Target Technology and algorithms for real time algorithms on ad serving. Architecture to create a set of connected tech capabilities from media planning to media optimization and measurement. Expected skills Minimum 4 years of experience as a practitioner of AdTech Technical proficiency in algorithms, ad science, and engineering Strong collaborator and mentor Preferred domain experience : Creating tech led solutions in advertising, customer relevancy models, bidding strategy, click through rate modelling, etc. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics ) and 4+ years of professional experience or equivalent industry experience Masters degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills . Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive . Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Have: We are looking for candidates who combine rigorous machine learning skills with a decent grasp of optimization and applied math. You should have: Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative discipline. 4+ years of experience working across ML and optimization domains , ideally in dynamic, real-world problem spaces. Strong coding skills in Python and experience working with Spark or distributed data frameworks. Hands-on experience with ML modeling pipelines , from data ingestion and feature engineering to model development, evaluation, and deployment. Knowledge of OR techniques (e.g., LP/MIP) and how to integrate them with ML systems. Strong problem-solving skills with a track record of delivering solutions to complex, ambiguous business problems. Ability to independently own and drive projects end-to-end in a collaborative environment. Excellent communication skillsboth technical and strategicacross engineering and business teams. Preferred Experience: Experience with MLOps frameworks and practices (e.g., model versioning, CI/CD for ML, monitoring). Exposure to supply chain, logistics, or fulfillment optimization problems. Experience working in a production-scale environment with high data volume and business-critical pipelines. Ability to build solution/ models that operate at low latency. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

JR: R00244779 Experience: 12-14Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : 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. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI Procurement Supply Chain Analytics - Manager Management Level :07 - Manager Location: Bangalore/ Gurgaon/Mumbai/Hyderabad/Kolkata/Chennai/Pune Must have skills: Machine learning, deep learning, Gen AI, cloud-based solutions (Azure, GCP, AWS), Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau. Good to have skills: Tableau/Power BI, Ariba, Coupa, Zycus, or Ivalua CL 7 [Data Science Manager Supply Chain & Operations Analytics (Sourcing and Procurement)] Job Summary : The Manager Sourcing and Procurement Analytics will be responsible for leading data-driven initiatives to optimize procurement and supply chain operations. This role requires a strong understanding of statistical methods, analytical techniques, and data science applications to drive meaningful insights. The manager will take a lead on client engagement on their projects, provide technical guidance, and lead a team of analysts to solve complex procurement and supply chain challenges using advanced analytics. Roles and Responsibilities: An expert in sourcing and procurement operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics. Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Utilize statistical models, machine learning, simulation and optimization techniques to enhance procurement and supply chain operations. Implement analytics to evaluate supplier performance, optimize procurement costs, and mitigate supply chain risks. Team Leadership & Development: Mentor and guide a team of analysts and consultants in developing analytical solutions. Foster a culture of innovation and continuous learning within the team. Ensure knowledge sharing and best practices are followed across projects. Technology and Process Optimization: Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions. Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis Collaborate with IT and procurement teams to improve data integration and system automation. Experience and Education: A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred. Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science). Certifications in one or more areas will be an added advantage:Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS). Technical & Professional Skills: Proven ability to drive analytics-driven procurement transformation projects. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics. Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Excellent written and verbal communication skills, with the ability to interact with senior stakeholders. Additional Information: Proficiency in data visualization tools like Tableau/Power BI. Experience with procurement tools such as Ariba, Coupa, Zycus, or Ivalua. Prior experience in client-facing roles and managing large-scale procurement analytics initiatives. About Our Company | Accenture Qualification Experience: 7-9 years of experience Educational Qualification :Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science)