1151 Statistical Modeling Jobs - Page 38

Job Location: Bangalore or Pune We are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLM), Cognitive AI, and Machine Learning to drive innovation in AI-driven solutions. The ideal candidate will have strong Python programming skills and a deep understanding of TensorFlow, PyTorch, NLP, and deep learning frameworks . You will work on cutting-edge AI/ML projects, leveraging generative AI and cognitive computing to build intelligent models that enhance business decision-making, with a strong focus on abuse detection, fraud prevention, and risk management Key Responsibilities: Develop and fine-tune Large Language Models (LLMs) to improve natural language understanding, text generation, and conversational AI. Design and implement cognitive AI models that enhance machine-human interactions and decision automation. Build fraud detection and abuse management models using advanced AI/ML techniques to identify anomalies, behavioral patterns, and security threats. Work with deep learning frameworks like TensorFlow, PyTorch, and Keras to build and optimize AI models. Utilize NLP techniques (tokenization, named entity recognition, sentiment analysis, text summarization) for unstructured data processing. Perform statistical analysis and hypothesis testing to drive data-driven insights. Use Numpy, Pandas, Scikit-learn for data preprocessing, feature engineering, and model evaluation. Deploy AI/ML models using MLOps, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) . Work with big data technologies such as Spark,Dask, and Hadoop for large-scale data processing. Collaborate with cross-functional teams (engineering,product, and business teams) to integrate AI models into applications. Stay updated with the latest advancements in AI, cognitive computing, fraud detection, and generative models to enhance AI capabilities. Must-Have Skills: Programming: Python (Numpy, Pandas, Scikit-learn), SQL AI/ML Frameworks: TensorFlow, PyTorch, Keras Natural Language Processing (NLP): NLTK, SpaCy, Transformers, Hugging Face Cognitive AI & LLMs: OpenAI GPT, BERT, LLaMA, Bloom, LangChain Abuse & Fraud Detection: Anomaly detection, behavioral analytics, risk scoring models Big Data & Cloud: Spark, Hadoop, AWS/GCP/Azure MLOps & Deployment: Docker, Kubernetes, CI/CD pipelines Mathematical & Statistical Skills: Probability, Linear Algebra, Optimization Deep Learning & Neural Networks: CNN, RNN, Transformers, GANs Good-to-Have Skills: Experience with vector databases (FAISS, Pinecone, Weaviate) for AI search and retrieval. Hands-on experience with AutoML tools like H2O.ai, Google AutoML, or DataRobot. Familiarity with reinforcement learning and multi-agent systems . Exposure to AI ethics, model interpretability, and explainable AI (XAI) . Knowledge of Graph Neural Networks (GNNs) and Knowledge Graphs . Education & Experience: Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field . 4-7 years of hands-on experience in AI/ML, cognitive computing, and NLP. Why Join Us? Work on cutting-edge AI projects with a team of experts. Opportunity to develop and deploy generative AI models for real-world applications. If you're passionate about cognitive AI, Abuse Management, LLMs, fraud detection, and data science , apply now!

We are looking for a highly skilled and experienced Field Risk Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-5 years of experience in the BFSI industry. Roles and Responsibility Conduct risk assessments and evaluations to identify potential threats to the organization. Develop and implement strategies to mitigate risks and ensure compliance with regulatory requirements. Collaborate with cross-functional teams to monitor and manage risk exposure. Analyze market trends and competitor activity to inform risk management decisions. Provide expert guidance on risk management best practices to stakeholders. Identify and report on key performance indicators (KPIs) related to risk management. Job Requirements Strong understanding of risk management principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment and prioritize multiple tasks. Strong communication and interpersonal skills. Experience working with financial institutions or similar organizations. Knowledge of relevant regulations and standards, such as Basel II or CCAR/CECL. Additional Info The company offers a competitive salary and benefits package.

Research in Nokia Standards (NSD) comprises fundamental systematic research of an exploratory nature for developing new products and services as well as disruptive technologies superseding conventional approaches. It covers the provision of a comprehensive understanding of scientific insights, specifically leading to (pre-) standardization of ideas and concepts for 6G technologies and beyond. In light of the recent advancements in artificial intelligence (AI) and data monetization, 6G will be the first mobile system built around and for datafirst, 6G will be the first generation of fully AI-native mobile systems where new AI features will enhance traditional solutions. Secondly, 6G will be designed according to a data-driven approach, where quantitative data and measures collected in past releases will help in shaping the design of 6G. Thirdly, 6G will be conceived to convert the massive data generated by mobile systems into valuable and monetizableinformation. You must have: Strong technical background in data science and modern data management techniques. Solid knowledge of data analysis techniques to analyze data generated in wireless systems to optimize their performance. Proven experience in data engineering methods to represent data including hands-on experience in developing data management and AI tools. Excellent written and interpersonal communication skills. Leadership and collaborative mindset with the ability to work autonomously. Strong professional ethics, open communication, and ability to rectify mistakes quickly. It would be nice if you also had: Knowledge of language processing techniques (NLP, GenAI, transformers) including hands-on experience of the tools. Experience in simulation of dynamic systems, especially for wireless communication systems (link and/or system level). Hands-on experience with AI/ML techniques applied to wireless communication. Proven software development skills with C/C++ programming language. Proven track record of innovation like publications in top conferences and journals. Drive data science progress in 6G technology and build the next generation mobile systems around modern data management approaches. Drive progress as a technical lead, contributing to new products, processes, and standards on data science for future 6G systems. Work with a world-class team to drive 6G technologies in global standardization. Carry out specialized activities/projects, demonstrating adaptability in complex business environments. Communicate within and outside the team, influencing others to accept new concepts and practices.

Strong proficiency in Python and/or R for data analysis and modeling. Advanced SQL skills for data querying and transformation. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, hypothesis testing, regression analysis, and data mining. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop) is a plus. Excellent problem-solving skills and attention to detail.

Role: Research Associate Location: Hyderabad (Hybrid/In-Office) No of Openings: 1 Faculty Name: Professor Pallavi Basu Academic Area: Statistics Research Summary Of The Faculty Professor Pallavi Basu: Professor Pallavi Basu is an Assistant Professor in the Operations Management area, teaching concepts and approaches in Statistics at ISB Her research interests include applications of statistics in finance, marketing, and other disciplines, high-dimensional statistical inference, large-scale multiple testing, and topics on causal inference She is a member of the American Statistical Association, Institute of Mathematical Statistics, and International Indian Statistical Association She received her Ph D (Business Administration and Statistics) from USC Marshall School of Business She was a post-doctoral fellow at Tel Aviv University She completed her undergrad and master's studies in Statistics (specializing in mathematical statistics and probability) from the Indian Statistical Institute (ISI, Kolkata) The Mathematical Research Impact Centric Support from the SERB, Government of India, funds part of her current research (2023-2026), About ISB The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership, The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous, Roles & Responsibilities You will: Assistance to the faculty Assisting in their ongoing research work which includes the development of analytical models, solution algorithms, and designing of computational experiments, Database management Linking different datasets, ensuring data quality, and processing raw data into processed datasets for modeling and estimation, Analysis of data Using statistical methods, literature review, and assisting in paper writing, Conduct market and economic analysis and prepare reports to harvest data and generate presentable insights from the data, Qualifications Required Skills and Qualifications: A Graduate from a top program witha high CGPA Evidence of academic excellence, Masters level degree (IISc, ISI, DSE, or comparable institutions in India and abroad) with a good academic record in economics, mathematics, statistics, or computer science Other quantitative fields may also apply, Skills This is NOT a data science position This position requires an understanding, implementation, and development of statistical methodologies, Good Understanding of statistical modeling and various methods of making data inferences, The candidate must also have great communication skills and written skills, Motivation to learn and a strong work ethic, Excellent problem-solving and multi-tasking skills, The position is best suited for a candidate with a Ph D or an interest in pursuing a Ph D in leading business schools worldwide, Our Commitment Towards You ISB is a research-focused business school It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses It provides several options to hone a persons analytical skills This position is best suited for a candidate with an interest in pursuing a PhD down the line, Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre in the entire Asia, Comprehensive Health and Personal Accident Cover for you and your family members ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations, If this role is your true calling, please fill out the form using the below-mentioned link If you have any questions, please reach out to careers_ra_fd@isb-edu, https:// cognitoforms / IndianSchoolOfBusiness9 / FDOHiringForm We will connect with you shortly,

The Senior Specialist of Product Management will report to the Vice President of Account Level Management (ALM) in Global Consumer Products Processing responsible for client management and management of analytical solutions related to ALM. This Senior Specialist will partner with our internal stakeholders in Regional Teams and our Product Management Team to manage on-going strategic relationships with key clients through our Global ALM suite of solutions. This candidate should have the ability to collaborate across a diverse group of internal stakeholders regional partners, effectively manage multiple priorities and demands, and possess a deep understanding of transaction processing the credit card industry. Role: This Senior Specialist will lead development and execution of analytical solutions across multiple customers. The role will require strong partnership skills as this Senior Specialist will be partnering with our regional lead in the US to ensure accurate execution of customer contract terms and partnering with customers to set-up testing and validation for the solutions leveraged. Quarterly monitoring and reporting on solution validity will be required as a measure of success. The Senior Specialist in this role will manage the relationship with the client on solution deployment and any impacts, while also identifying opportunities to scale the solutions improving customer penetration in partnership with the ALM Product Lead. This role will require the ability to collaborate across a diverse group of internal global stakeholders regional partners, effectively manage multiple priorities and demands, and possess a deep understanding of transaction processing the payments card industry as it continues to evolve into a digital footprint. The role will require availability during other key regional time zones. This candidate should be intellectually curious, energetic, a self-starter and able to operate with a sense of urgency. In addition, the role requires an individual who can demonstrate discipline in prioritizing efforts, and the ability to be comfortable managing through ambiguity. Candidate needs to have strong communication skills with an ability to refine and adjust communication to gain support sponsorship from Executive Management, and experience in driving execution and alignment with Regional Teams, who may not share the same sense of prioritization or urgency. All About You: A bachelors Degree in business, finance, marketing, product management, or related field, or equivalent work experience (required) Knowledge / Experience masters Degree or equivalent work experience (preferred) Knowledge of Mastercard product and services suite (desirable) Proficient in python or R, Hive, Tableau, MSBI applications, and VBA Experience with statistical modelling and predictive analytical techniques (preferred) Experience in overseeing multiple projects and initiatives concurrently Understanding of competitive offerings and industry trends Experience in working collaboratively in a cross-functional role operating with a sense of urgency to drive results Ability to influence and motivate others to achieve objectives Ability to think big and bold, innovate with intention, and deliver scalable solutions Ability to digest complex ideas and organize them into executable tasks Strong work ethic and a master of time management, organization, detail orientation, task initiation, planning and prioritization Self-starter and motivated to work independently with a proven track record of delivering success while operating within a team environment

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies

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: Data Analysis. Experience3-5 Years.

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. Experience8-10 Years.

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.

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: Data Analysis. Experience3-5 Years.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products. Responsibilities Develop innovative machine learning algorithms for Audio and speech generative models,; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /audio/NLP applications Combine features from multi-modalities such as video, audio, sensors, and location After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices Minimum Qualifications R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques Preferred Qualifications R&D experience developing generative models in audio and speech Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) Willingness to engage in hands-on R&D in modeling of audio/speech/text data Working in cross disciplinary, geographically-dispersed teams Education Requirements RequiredMaster's degree in Computer Engineering / Computer Science / Electrical Engineering PreferredDoctorate, Computer Engineering / Computer Science / Electrical Engineering 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title:Artificial Intelligence Engineer Experience8-12 Years Location:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills 1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. 2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3. **NLP**Familiarity with NLP techniques for text generation. 4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation. Soft Skills 1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI. 2. **Collaboration**Work effectively with researchers, engineers, and other team members. 3. **Continuous Learning**Stay updated with evolving AI technologies and applications. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields. - Proven experience in machine learning, generative AI,

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