387 Statistical Modeling Jobs - Page 13

Job Title: Transport Modeller Company Name: iCRC Job Description: As a Transport Modeller at iCRC, you will be responsible for developing and implementing transport models to analyze and optimize transportation systems and infrastructure. Your role will involve using various modeling techniques to evaluate traffic patterns, forecast demand, and assess the impact of transport policies. You will collaborate with multidisciplinary teams to provide data-driven insights that inform planning and decision-making processes. Key responsibilities include collecting and analyzing transportation data, developing simulation models, conducting scenario analysis, and presenting findings to stakeholders. Skills Required: - Strong analytical and problem-solving skills - Proficiency in transport modeling software and tools - Excellent knowledge of transportation theory and practice - Experience in data analysis and statistical modeling - Ability to work collaboratively in a team environment - Effective communication and presentation skills - Attention to detail and strong organizational abilities Tools Required: - Transport modeling software (such as VISUM, VISSIM, Synchro, SIDRA and HCS) - Geographic Information Systems (GIS) tools - Data analysis tools (such as Excel, R, or Python) - Presentation software (such as PowerPoint or similar) Join iCRC as a Transport Modeller and contribute to enhancing transportation efficiency and sustainability through innovative modeling solutions.

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 2-5 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

Description We are looking for a highly skilled PhD Developer to join our dynamic team in India. The ideal candidate will have a strong background in advanced computing and data analysis techniques, and will be responsible for developing innovative software solutions to enhance our product offerings. Responsibilities Develop and implement advanced algorithms and models for data analysis. Collaborate with cross-functional teams to design and optimize software solutions. Conduct research to innovate and improve existing applications. Participate in code reviews and maintain high standards of code quality. Prepare technical documentation and presentations for stakeholders. Skills and Qualifications PhD in Computer Science, Data Science, Mathematics, or a related field. Strong programming skills in languages such as Python, Java, or C++. Experience with machine learning frameworks like TensorFlow or PyTorch. Proficient in statistical analysis and data visualization tools. Familiarity with cloud computing platforms (AWS, Azure, GCP). Excellent problem-solving and analytical skills. Strong communication and teamwork abilities.

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & OptimizationDesign, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques ImplementationIdentify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge SharingWork with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management CompliancePartner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional CollaborationCollaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance MonitoringTrack the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder CommunicationPresent model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical ProficiencyStrong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical ThinkingExceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning ExpertiseSolid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database KnowledgeProficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective CommunicationStrong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Apply Save Save Pro Insights

Position Manager Analytics - Trust & Safety About the Team- The PhonePe TnS teamis a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform focusing on the consumer perspective. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis. As a Manager PhonePeTnS team, you will be leading the major analytics projects for keeping the platform safe for the consumer as well as identify any abusive behaviour. You would also be involved in development of new products and capabilities by working closely with the product teams. If your dream is to build processes and digital tools to better understand financial transactions and identify trends that would impact millions of customers, partnering with some of the best minds and executing on your dreams with purpose and speed, join us! Roles & Responsibilities : Supervise, lead & train a team of analysts and contribute actively to team development. Work closely with the operations, Product, Tech teams Create, manage, and utilize high performance relational databases (using SQL or other analytical tool) Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies Explore, ideate and develop fraud, risk and abuse detection and mitigation methodologies, validate the existing ones, and look for opportunities to optimize the existing scenario thresholds backed by data insights. Design and development of user-defined application modules using BI tools (QlikView / Tableau/ QlikSense /PowerBI etc), perform data quality control, develop database reports and user interfaces, and normalize relational data Develop analysis on business problems and prepare and present complex written and verbal materials to senior management and stakeholders. Ability to understand and follow industry best practices for Fraud Prevention. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas. Monitoring and regulating high risk activities for various PhonePe business verticals. Identify automation opportunities and suggest process improvements. Analyze the customer transactional and behavioral data to identify the patterns, trends, anomalies and develop strategies to mitigate the suspicious activity. Support the ad-hoc reporting requirements Education & Preferred Qualifications : Requirements include, but are not limited to: Bachelors in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline Candidate should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics. (Payment Industry experience preferred) 6+ years of experience in the field of analytics preferably in identifying fraud patterns and customer risk profiling. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills Strong organizational, communication, presentation and project management skills Excellent SQL and Excel skills. Should be able to write queries to manipulate and consolidate data from multiple data sources. Data analytics project experience related to one or more of the followingtransaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modeling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation Working experience with BI tools (QlikView / Tableau/ QlikSense /PowerBI etc) will be an added advantage Strong background in statistical modeling and experience with tools such R /SAS /Python or SPSS. Ability to work independently and to liaise with other departments and coordinate with various stakeholders (internal / external). PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy

The primary role of Engineering function within Product Development team is to create specifications and designs for new products or improvements and enhancements to existing products. Works closely with customers, developers and other stakeholders to understand and define customer needs in these designs. Features are aligned to a timetable and areas of responsibility. Developers may solicit customers for feedback regarding product usability and desired future enhancements. Software Engineers who design, write and test code for the product should be matched in the either Software Engineering Applications or Systems. Product developers who specialize in hardware systems should be matched to Hardware Engineering. Let s talk about Responsibilities The primary objective of Machine Learning Engineering specialization within Engineering(PD) Job Family is to help the company create more intelligent solutions using the latest technologies in machine learning. Key responsibilities include developing and programing integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments; developing and communicating descriptive, diagnostic, predictive and prescriptive insights/algorithms; using machine language and statistical modelling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy; uses current programming languages and technologies to translate algorithms and technical specifications into code; completes programming and implements efficiencies, performs testing and debugging, creates documentation and procedures for installation and maintenance. Performs work in a specialized area of expertise that requires knowledge of fundamental themes, principles and concepts. Typically requires a university degree or equivalent work experience. Responsibilities might include: (1) Performing routine professional-based activities (early in career) (2) Contributing to and managing projects (mid-career) (3) Providing advice/direction in primary areas of expertise (specialist and expert) (4) Leveraging professional expertise and relationships to contribute to strategy and drive business results (principal)relationships to contribute to strategy and drive business results (principal) Networks with contacts outside own area of expertise. Leads a cooperative effort among members of a project team. Works independently, with guidance in only the most complex situations. Frequently leads sub-functional teams or projects and train and mentor junior team members. Serves as a best practice resource within own area of work. Let s talk about Qualifications and Experience Required: Preferred: bachelors degree. Minimum of 8 years of related experience. Applies functional knowledge and existing methodologies to solve complex problems or execute specialized projects. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Determines methods and procedures on new assignments. Joining us is more than saying yes to making the world a healthier place. It s discovering a career that s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

Job Title: Transport Modeller Company Name: iCRC Job Description: As a Transport Modeller at iCRC, you will be responsible for developing and implementing transport models to analyze and optimize transportation systems and infrastructure. Your role will involve using various modeling techniques to evaluate traffic patterns, forecast demand, and assess the impact of transport policies. You will collaborate with multidisciplinary teams to provide data-driven insights that inform planning and decision-making processes. Key responsibilities include collecting and analyzing transportation data, developing simulation models, conducting scenario analysis, and presenting findings to stakeholders. Skills Required: - Strong analytical and problem-solving skills - Proficiency in transport modeling software and tools - Excellent knowledge of transportation theory and practice - Experience in data analysis and statistical modeling - Ability to work collaboratively in a team environment - Effective communication and presentation skills - Attention to detail and strong organizational abilities Tools Required: - Transport modeling software (such as VISUM, VISSIM, Synchro, SIDRA and HCS) - Geographic Information Systems (GIS) tools - Data analysis tools (such as Excel, R, or Python) - Presentation software (such as PowerPoint or similar) Join iCRC as a Transport Modeller and contribute to enhancing transportation efficiency and sustainability through innovative modeling solutions.

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

Job Summary Data scientist Co-ordinate tasks/deliverables within the team Apply data science techniques such as machine learning statistical modeling and artificial intelligence Responsibilities Technology SPOC responsible for solution design Work with the business and technical system client stakeholder to understand current application pains architecture. He will help in building the Architectural blue print Help to define/propose architectures tech stack. Help to define/propose the Machine Learning Algorithms and models. Manage a team of data scientists machine learning engineers Help the Project Manager with work breakdown structure and User Story definitions Co-ordinate tasks deliverables within the team Apply data science techniques such as machine learning statistical modeling and artificial intelligence Measure and improve results Present Final results to stake holders Primary skills: Data science Python AIML GEN AI NLP GCP stack Secondary skills: Pharmacy domain and Data engineering skills

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Your tasks and responsibilities: You manage and extend our pool of MRI training and validation data. You ensure compliant data ingestion from customers, collaboration partners, and internal teams. You organize and store data efficiently and implement quality control measures for data. You establish Standard Operating Procedures for data handling and storage within the organization. You ensure data integrity and accessibility for machine learning projects. You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals. You work closely with our scientists and engineers to train, evaluate, and improve ML models. You perform tests and scientific evaluations on our data. You support regulatory submission processes by delivering data management specifications. To find out more about the specific business, have a look at Magnetic Resonance Imaging Your qualifications and experience: You have successfully completed a university degree (Master's/Diploma/PhD) in Computer Science, Data Science, Machine Learning, Bio-Medical Engineering or similar. You have 2 to 5 years of professional experience in data science and machine learning, preferably within medical imaging or healthcare. You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++ You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage. You are familiar with ensuring data integrity and accessibility for advanced ML projects. You have knowledge of statistical modeling and methods and regulatory requirements in data management. Your attributes and skills: Since the development teams of the Application Release Train are spread internationally across three locations, strong English Communications skills are required. We win together - that's why you are proactively committed to delivering the best possible solutions to our customers You present your ideas and results confidently and convincingly in cross-functional development teams Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness The highest quality standards in product development are a matter of course for you

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning. This role will involve identifying, analysing and delivering data science use cases that enhance efficiencies and deliver significant value within Alliad, while being responsible for analyzing large datasets, developing predictive models, and providing actionable insights to support decision-making across our various business units. Role & responsibilities Collect, clean, and preprocess data from various sources. Develop and implement statistical models and machine learning algorithms to solve business problems and aid in decision making. Analyze and interpret complex data sets to identify trends, patterns, and insights. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Lead analytical and data science projects from inception through deployment, ensuring successful implementation Utilise sophisticated visualisation techniques to make data accessible and engaging for end-users Communicate findings and insights to stakeholders through reports, dashboards, and presentations. Stay up-to-date with the latest advancements in data science and machine learning technologies. Regular travel to the business units will be required in the first year to understand the business requirements. Preferred candidate profile Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience as a Data Scientist or similar role. Strong knowledge of statistical analysis, machine learning, and data mining techniques. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools such as Tableau, Power BI, or similar. Skilled in managing and merging complex data sets Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience in the Food supply, Construction, or Facility Management sectors. Familiarity with big data technologies such as Hadoop, Spark, or similar. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists’ team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 10+ years of experience solving analytical problems using quantitative approaches

Evaluate model development data quality, methodology Perform proper documentation Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Required Candidate profile 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services/banking hands-on and proven experience utilizing Python, Spark , SAS, SQL,

Lead analytics Team from scoping to delivery and solve business problems through basic to advanced analytics Proactively propose, initiate, independently execute and own strategic strategic ideas and POCs targeting revenue growth & larger business Required Candidate profile Exp of SAS, SQL, Python (Mandate) exp in BFSI Domain only Ability to work effectively in a team environment Strong communication and interpersonal skills Knowledge of MS Office PowerPoint, Excel

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

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness ? Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired ? ? Mandatory Skills: AI Cognitive. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Mandatory Skills: Python for Data Science. Experience8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Mandatory Skills: Data Science. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About PhonePe Group: PhonePe is Indias leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! About The Role We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: - Develop and implement machine learning models, offline batch models as well as real time online and edge compute models - Analyze complex datasets and extract meaningful insights to drive business decisions - Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches - Communicate findings and recommendations to stakeholders effectively Required Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field - 3+ years of experience in a Data Scientist role - Strong proficiency in Python and SQL - Solid understanding of machine learning algorithms and statistical modeling techniques - Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms - Hands-on experience implementing and deploying machine learning algorithms - Experience with data visualization tools and techniques - Strong analytical and problem-solving skills - Excellent communication skills, both written and verbal Preferred Qualifications: - Experience with PySpark and other big data processing frameworks - Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: - Programming LanguagesPython (required), SQL (required), Java (basic knowledge preferred)- Machine LearningStrong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision- Big DataDeep knowledge of PySpark- Data Storage and RetrievalFamiliarity with databases/mlflow preferred- MathematicsStrong background in statistics, linear algebra, and probability theory- Version ControlGit Soft Skills: - Excellent communication skills to facilitate interactions with stakeholders- Ability to explain complex technical concepts to non-technical audiences- Strong problem-solving and analytical thinking- Self-motivated and able to work independently as well as in a team environment- Curiosity and eagerness to learn new technologies and methodologiesWe're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe .

Job Description Company Overview Lifesight is a fast-growing SaaS company focused on helping marketers leverage their own data & advanced AI to improve marketing decision making. Our mission is to make it easy for non-technical marketers to navigate the privacy-first era with a modern and unified marketing measurement platform that is designed to drive incremental impact, optimize spend and achieve their business goals. We have a team of 130 serving 300+ customers across 5 offices in the US, Singapore, India, Australia, and the UK. We are a profitable company and our product is being adopted rapidly globally and we need the best people onboard the team to accelerate our growth. Position Overview We are looking for a seasoned professional with deep experience in the marketing measurement industry to join and lead our marketing science team. The marketing science team at Lifesight sits in the intersection of customer success, sales and marketing. In this role, you will be responsible for managing our marketing science team and its initiatives. You will be responsible for driving revenue by closing deals and ensuring that our customers' needs are met. You will also be responsible for evangelizing our platform in the market through online and offline activities in order to drive demand and build trust. You will get the unique opportunity to work on growing a trending AI-powered measurement platform, in a massive industry and get to truly drive its adoption & success. What Youll Do Manage a team of marketing scientists who assist in solving our customer measurement needs using Marketing Mix Modeling, universal attribution, incrementality testing and causal inference. Evangelize our UMM platform, articulating its value proposition to a diverse range of brands across multiple industries. Own and achieve a revenue target for the US market driven through strategic initiatives that you set up. Study and understand the customers business goals and KPIs to offer expert recommendations and actionable insights to achieve them using our platform. Manage the portfolio of customer accounts, communications and engagement with the support of our team of customer success and support executives, to ensure customer satisfaction. Craft compelling thought leadership content for social media and other channels to engage potential clients and industry leaders. Oversee custom consulting and professional services work for customers who require them. Contribute to our product roadmap and feature development alongside our product, data science and engineering team. Identify and stay ahead of industry trends, track competitor movements and find differentiators to continuously improve our offering and solutions. Work closely with global sales and marketing to ensure alignment and cohesiveness in go-to-market strategies. Train and coach new marketing scientists and other team members to enable career growth and skill development. Requirements You are perfect for the role if you: Bachelors degree or above in Business Management, BI/Analytics, Economics, Statistics, Mathematics and/or Marketing 6+ years experience with strong foundation in data science and/or marketing science, with significant experience in business analytics, marketing analytics, attribution modeling, marketing mix modeling, experimentation projects. Highly accomplished analytical professional with strong problem solving skills and great attention to detail. Proven track record of working with mid-market and enterprise brands across industries. Proven track record of managing teams and delivering results for customers. Excellent project management and account management capabilities, with exceptional customer communication and servicing skills Exceptional ability to communicate complex data science concepts in simple terms. Skilled in developing strategies that drive revenue and market share. Experienced in leveraging social media platforms for brand promotion and thought leadership. Ability to collaborate effectively with diverse global teams. Benefits Whats in it for you? As a team, we are concerned with not only the growth of the company but each others personal growth and well-being too. Along with our desire to utilize smart technology and innovative engineering strategies to make peoples lives easier, our team also bonds over our shared love for all kinds of tea, movies & fun-filled Friday events with a prioritizing healthy work-life balance. 1. Working for one of the fastest-growing and successful MarTech companies in times 2. Opportunity to be part of an early member of the core team to build a product from scratch starting from making tech stack choices, driving and influencing the way to simplify building complex products. 3. Enjoy working in small teams and a non-bureaucratic environment 4. Enjoy an environment that provides high levels of empowerment and space to achieve your objectives and growth with the organization. 6. Work in a highly profitable and growing organization, with opportunities to accelerate and shape your career. 7. Great benefits - apart from competitive compensation & benefits

Overview Engagement Manager is the single point of accountability for all aspects of the NRM capability for the Sector (Europe/APAC/AMESA/LATAM/PFNA/PBNA) This individual is responsible for building, delivering, standardizing, simplifying, and optimizing NRM products and services with the aim of reducing costs, increasing compliance, and improving the customer / user experiences This individual will implement the long-term NRM strategy for PepsiCo, transform existing ways of working, and leverage the power of next generational digital tools and technologies to enable the capabilitys growth aspirations in the sector Utilises advanced analytical skills and tools to shape our NRM, marketing and business strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives. This role is instrumental in maximizing the ROI of our events and marketing efforts, ultimately driving sustainable growth and success for the organization Responsibilities Implements the long-term NRM strategy, roadmap, and operating model for the NRM capability in the sector for 20+ gold standard NRM products / services across all PepsiCo Sectors (AMESA, APAC, LATAM, Europe, PBNA, and PFNA); (CONSULTING AND INFLUENCING) Periodically reviews and updates standards based on changes in the industry and PepsiCo capabilities Leads the design, development, and rollout of analytical NRM products and services (e.g., Brand Ladder Playbooks, Price Elasticity Tools) that transform existing ways of working, improve user experiences, and simplify decision-making to solve specific business problems for the sector Oversees the rollout, adoption, and change management activities associated with the GBS-supported NRM products and services; liaises with Sector and BU leaders and Change Management team as required Coordinates with Finance teams and other Commercial Sales team to determine the impact of NRM products & services on the overall business (e.g., revenue uplift, growth) Manages the budget and prioritizes investments as per the capabilitys short-term and long-term goals for the Sector and Coordinates with Finance teams and other Commercial Sales team to determine the impact of NRM products & services on the overall business (e.g., revenue uplift, growth) Managing and influencing senior stakeholders (i.e. this role will need to prepare written updates for very senior audiences, and support the LG1 Manager in presenting to and influencing stakeholders at a range of levels) (EXECUTING and INFUENCING) Leverage business performance explanations from teams around the sector to incorporate considerations beyond data into insights across Strategy, analytics and Reporting Develop robust explanations of business performance, drivers, and optimization opportunities which lead to insight led decision making Flawless delivery to PepsiCo Corporate leadership team on clear Pricing and Promotion indicators Provide responses to ad-hoc follow-ups when double-click required with tables/charts/stories using relevant data Lead development of advanced analytics capability growth executed by advanced analytics CoE team Identify, assess and scale advanced analytical methodologies and frameworks to identify key NR Drivers for PepsiCos Categories, as a growth catalyst to prioritize and enable AOP/ICP Planning Develop, socialize and implement capability roadmap which drives rigour and provides insight Provide strategic portfolio and initiative pricing recommendations based on robust analysis of external data and internal financial data Qualifications Extensive experience in analytics, especially in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior. Proficiency in using analytical tools and methodologies to extract actionable insights from post-event data Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector, with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales. Familiarity with industry-specific challenges and trends Experience in building Pricing & Promotion solutions such as Price Gap, Promo ROI, Elasticity engines, etc. Proficiency in creating and implementing solutions that drive revenue optimization Excellent analytical skills with the ability to translate complex data into actionable solutions and processes. Capable of enabling data-driven decision-making in the context of post-event analysis Advanced proficiency in Microsoft Excel and a strong command of PowerPoint. Ability to quickly learn various in-house software applications for data analysis and reporting In-depth understanding of statistical modeling, including regression analysis and elasticity computations. Proficiency in conducting simulations and building/automating models that support pricing and promotions decisions Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner, facilitating data-driven decision-making within the organization

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

About The Role We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams. About the Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.