387 Statistical Modeling Jobs - Page 12

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

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques

Role & responsibilities As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes Analyze complex data using statistical and machine learning models to derive actionable insights Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding Ensure model robustness, model generalization, accuracy, testability, and efficiency Write product or system development code Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. Communicate findings and insights effectively to stakeholders reports and visualizations. Preferred candidate profile A Master's degree in Data Science, Statistics, Computer Science, or a related field. Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment. Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring. In-depth understanding of Azure services and tools for data integration and orchestration.

Job TitleStatistical Analytics Engineer (F/M/D) Experience7+ Years LocationBangalore Notice PeriodImmediate Joiners or Maximum 15 Days Role Over viewJoin our innovative team to drive data-powered advancements in chemistry and materials science As a Statistical Analytics Engineer, youll apply advanced statistical methods, AI, and data science to develop intelligent solutions, enhance process automation, and foster innovation across interdisciplinary teams. Key Responsibilities Lead analytics initiatives leveraging AI, statistical modeling, and data science within KLs technical and scientific domains Design, operationalize, and optimize scalable data pipelines and analytical products Partner with domain experts to innovate data-driven methodologies and tools Prioritize incoming data-related requests by evaluating effort versus impact Develop and automate analytical workflows using statistical techniques Drive cross-functional collaborations and external partner projects Continuously update your skillset through training and contribute to internal knowledge sharing Mentor and support teams in adopting data tools and maintaining data quality standards Qualifications Masters degree or equivalent in Engineering, Chemistry, Physics, or a related field 7"“10 years of experience in data modeling, statistical analysis, and data visualization in manufacturing or industrial environments Proficiency in Python, SQL, and tools such as JupyterLab, GitLab, Airflow, and MLflow Strong expertise in cheminformatics, materials informatics, and generative AI techniques Hands-on experience with interactive application frameworks like Shiny, Dash, or Streamlit In-depth understanding of chemical analysis and organic chemistry Show more Show less

About the Role: Grade Level (for internal use): 08 Department overview The Pricing and Purchasing team under Global Intelligence & Analytics, at S&P Global Market Intelligence delivers vital price, cost and inflation information that helps companies recognize millions of dollars in cost savings. We do this by pulling apart the cost structure of our clients suppliers, and providing a detailed analysis of their prices, costs, demand, and productivity. This gives our clients a strategic advantage in negotiating with suppliers, as well as a blueprint of when to make big purchases, and why. We are seeking an Economist with 3-5 years of experience to join this growing team. In this role, you will develop, enhance, and expand our analyses and forecasts with specific emphasis on translating insights into relevant, actionable client solutions. S&P Global Market Intelligence is looking for a data-driven analyst monitor, forecast, and present the price outlook for their assigned industry. In this role, you will work directly with clients in support of sales, answering ad-hoc pricing questions, demonstrating our price forecast methodology, and explaining our current outlook. Specifically, you will: Monitor and update the historical and forecast data Actively participate in forecast model development efforts Forecast near-term prices for a global buying audience Create monthly and quarterly reports with emphasis on the drivers of the near-term price outlook Respond to clients research-related questions by providing thought leadership and timely insight Support coverage and expansion in Asia Required Education/Experience BA/MA in Economics plus 3-5 years of related experience. Required Skills and Attributes: Strong and adaptable research and analytical skills, including ability to interpret data and research, and write/produce structured, compelling reports Statistical / modeling experience, preferably in EViews Coordination skills; ability to prioritize own workload and work to deadlines and under pressure Strong team spirit Customer-focused background Understanding of labor markets is preferred. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction. For more information, visit . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwideso we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Our benefits include: Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- RESECH202.1 - Middle Professional Tier I (EEO Job Group), RESECH203 - Entry Professional (EEO Job Group)

This will be an exciting and challenging role that will enable you to work with very large data sets, expose you to cutting edge analysis techniques, work with the latest components in cloud architecture and gain experience in the usage of location data to drive businesses.A successful applicant will be passionate about technology and develop a deep understanding of human behavior in the real world. You will:- Understand the business requirement for analytics and formulate an approach by identifying key datasets, various assumptions, a methodology to be used - Present the analysis in crisp and clear manner for solving location data anomalies/issues- Analyse trends to identify discrepancies to point out reasons for the changes in observed patterns- Provide feedback and share knowledge with the Supply & Data Partnerships and Product team to drive improvement and enhancements- Define proper measurable metrics/variables for analyzing a business problem and provide actionable recommendations.Requirements: - Strong analytical background and critical thinking - Experience with any scripting language - Strong organizational skills and attention to detail - Ability to thrive in a fast-paced, high-volume, and deadline-driven environment- Engineering and Technical degrees are mandatory - Good interpersonal and communication skills - Marketing / Advertising / Analytics related experience is preferred but not necessary

Roles and Responsibilities: You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value. You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences. You participate in early state design and feature definition activities. Responsible for implementing robust data pipeline using Microsoft, Databricks Stack Responsible for creating reusable and scalable data pipelines. You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products. You have strong communication skills to effectively convey complex data insights to non-technical stakeholders. Critical Skills to Possess: Skills: Advanced working knowledge and experience with relational and non-relational databases. Advanced working knowledge and experience with API data providers Experience building and optimizing Big Data pipelines, architectures, and datasets. Strong analytic skills related to working with structured and unstructured datasets. Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. Azure DevOps experience to deploy the data pipelines through CI/CD. Roles and Responsibilities Skills: Azure Databricks, Azure Datafactory, Big Data Pipelines, Pyspark, Azure Synapse, Azure DevOps, Azure Data Lake Storage Gen2, Event Hub, Azure DWH, API Azure. Experience: Minimum 5-7 years of practical experience as Data Engineer. Azure cloud stack in-production experience. Preferred Qualifications: BS degree in Computer Science or Engineering or equivalent experience

We are seeking an experienced Bioinformatics Technical Lead to drive our computational biology initiatives. The ideal candidate will have 68 years of industry or academic experience (PhD or Masters in a relevant field) with a proven track record in developing and refining high-throughput pipelines for omics data, including RNA-seq, methylation, and new NGS modalities. This highly technical position requires creativity and an aptitude for developing novel computational algorithms. You will work directly with distinguished professors from leading institutions such as MIT, Caltech, Harvard, and others. This role is primarily an individual contributor position with limited leadership responsibilities, guiding a small team (24 highly qualified bioinformaticians) in a technical capacity rather than acting as a full-time manager. Key Responsibilities Pipeline Development & Optimization Design, implement, and optimize scalable, production-grade pipelines for NGS data analysis (RNA-seq, whole-genome, whole-exome, methalomics, NIPT development, novel PCR analysis etc.). Ensure reproducibility, efficiency, and accuracy of computational workflows. Algorithm & Data Analysis Develop and apply novel computational algorithms for gene expression profiling, variant calling, haplotype calls and other genomic analyses. Perform rigorous data mining and statistical analyses to extract actionable insights from large datasets. Technical Leadership Guide and mentor junior bioinformaticians and computational scientists. Conduct code reviews, provide technical feedback, and champion best practices across the team. Collaboration & Cross-Functional Engagement Work closely with molecular biologists, data scientists, and software engineers to translate project goals into robust computational strategies. Communicate results, provide data-driven recommendations, and contribute to scientific publications and intellectual property (as appropriate). Quality & Compliance Maintain high standards of data integrity, documentation, and version control. Implement quality control checks and validation strategies for all workflows. Required Qualifications Education: PhD in Bioinformatics, Computational Biology, Computer Science, or related field; or Masters degree with significant, demonstrable experience. Experience: 6-8 years of hands-on experience analyzing high-throughput NGS data, with an emphasis on RNA-seq. Proven track record of developing and deploying production-level bioinformatics pipelines. Technical Skills: Strong programming background in at least one major language. Familiarity with HPC clusters or cloud computing environments. Expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics. Leadership & Communication: Prior experience in a lead role, supervising or mentoring junior team members. Excellent written and oral communication skills for technical and non-technical audiences. Preferred Qualifications Experience working in a regulated environment (e.g., CLIA, CAP, or similar). Familiarity with workflow management systems (e.g., Nextflow, Snakemake, Cromwell). Knowledge of containerization technologies (Docker, Singularity) and CI/CD pipelines. Publications or patents in computational genomics or related areas. Soft Skills Demonstrated ability to work in a fast-paced, collaborative environment. Strong problem-solving and critical-thinking abilities. Adaptability and willingness to embrace new technologies and methodologies.

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

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

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . Overview Dun Bradstreet Technology and Corporate Services India LLP is looking for candidate for the role of Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis. Key Responsibilities: Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting Generate Analytical Insights on various customer portfolios. Develop Predictive Solutions using advanced statistical techniques to enable better decision making. Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP, and development of new capabilities. Proficiency in using Machine Learning techniques. Collaborate with Technology teams to implement analytical solutions and models. Work with stakeholders in providing additional analysis based on specific needs. Work on newer strategic initiatives focused on LLMs and GenAI. Requirements 2 to 5 years of relevant experience in Data Analytics / Data Science roles Strong programming skills in tools such as Pyspark, Python, SQL to manipulate data and conduct statistical analysis. Knowledge of Python packages and GCP / AWS / Databricks. Sound Knowledge and proven experience on application of Statistical / Machine Learning techniques. Experience in BFSI domain / Statistical Modelling Validation is an added advantage. Ability to interpret and translate data into meaningful business insights. Good working knowledge on LLMs and GenAI would be desirable. Excellent verbal, written communication, and presentation skills. . .

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,