1143 Statistical Modeling Jobs - Page 12

Build and deploy GenAI Models with techniques such as RAG and Fine Tuning. Developing AI/ML algorithms to analyze huge volumes of historical data to make predictions and recommendations. Implement and optimize deep learning models for generative tasks such as image synthesis, voice etc Collaborate with software engineers to integrate Generative AI models into production systems Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms and rank them according to success likelihood. Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution Should be able to work on structured as well as unstructured data Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production Should be able to leverage cloud platforms for training and deploying large scale solutions (AWS Preferred) Should have working knowledge on managing ModelOps framework Should understand CI/CD processes in product deployment and used it in delivery. Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool

Company: Marsh Description: We are seeking a talented individual to join our Climate Modelling team at Marsh McLennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Lead Specialist - Risk Consuting (Climate Risk) The lead specialist will be part of the Climate Risk Center of Excellence and will be instrumental in the delivery of climate-related analytics projects to clients. We will count on you to: Deliver internal and client-facing climate modelling projects within the APAC region. Contribute to the interpretation of catastrophic events within the framework of climate variability. Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentation of methodologies and results for a diverse range of audiences. Help organizations of all shapes and sizes access and benefit from climate risk analysis in a way relevant to their businesses. Work collaboratively in multi-disciplinary teams of engineers, actuaries, and catastrophe modelers. What you need to have: Master s degree + 2 years of work experience in the area climate modelling and/or climate risk or Ph.D., in climate risk and/or climate modelling. Advanced knowledge of current climate science research, the physical processes of climate change, global climate models, and methodologies related to CMIP, downscaling, and bias correction, including ability to work with NetCDF / raw climate data from ECMWF / reanalysis data. Demonstrated experience in integrating statistical methods with climate physical data to effectively address uncertainty. Proficiency in coding, particularly in R, Python, or any scripting language, is highly advantageous along with experience in RShiny or PowerBI for front end applications. Experience in spatial data analysis and presentation. An understanding of climate scenarios especially IPCC and NGFS would be considered a plus as would experience with econometric modeling. Ability to interact effectively with a diverse team and provide client focused insights. Exposure to consulting projects would be considered prefential What makes you stand out Concepts of climate science including GCMs / RCMs and downscaling approaches. Basic concepts of statistics. Knowledge about current updates in the domain of climate risk analysis and impact of climate change in at least 2-3 sectors. Ability to communicate complex ideas effectively. Learnings from previous work experiences/academic projects. The candidate is expected to have clarity on their current career position and goals for 2-3 years. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Company: Oliver Wyman Description: About The Role Job Title Actuarial Intern Life Office/Regions available: Bengaluru , Gurugram As an Actuarial Intern , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Assisting with actuarial model conversions and optimization Perform Actuarial model testing and validation Client and industry presentations, surveys, case studies and marketing support Supporting development and maintenance of intellectual capital Qualifications and Desired Skills Currently pursuing or having recently obtained a Bachelors or Masters degree, ideally in Actuarial Science, Mathematics, Statistics, Finance, or a related field Commitment to passing actuarial exams Desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Exposure to MS Excel, MS Access or other database software, with VBA or other programming languages experience Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Marsh Description: We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office Business Title Lead Specialist - Actuarial No. Of Roles1 LocationMumbai Last Date to Apply 18th June We will count on you to: Deliver internal and client-facing climate modelling projects within the APAC region. Contribute to the interpretation of catastrophic events within the framework of climate variability. Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentation of methodologies and results for a diverse range of audiences. Help organizations of all shapes and sizes access and benefit from climate risk analysis in a way relevant to their businesses. Work collaboratively in multi-disciplinary teams of engineers, actuaries, and catastrophe modelers. What you need to have: Masters degree + 2 years of work experience in the area climate modelling and/or climate risk or Ph.D., in climate risk and/or climate modelling. Advanced knowledge of current climate science research, the physical processes of climate change, global climate models, and methodologies related to CMIP, downscaling, and bias correction, including ability to work with NetCDF / raw climate data from ECMWF / reanalysis data. Demonstrated experience in integrating statistical methods with climate physical data to effectively address uncertainty. Proficiency in coding, particularly in R, Python, or any scripting language, is highly advantageous along with experience in RShiny or PowerBI for front end applications. Experience in spatial data analysis and presentation. An understanding of climate scenarios especially IPCC and NGFS would be considered a plus as would experience with econometric modeling. Ability to interact effectively with a diverse team and provide client focused insights. Exposure to consulting projects would be considered prefential Eligibility Minimum 12 months experience as Senior Specialist (C2) / Lead Specialist (D1) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months Disclaimer Please note that the relocation assistance shall not be provided for the said position Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone Mention your employee id and official email address in the resume What makes you stand out Concepts of climate science including GCMs / RCMs and downscaling approaches. Basic concepts of statistics. Knowledge about current updates in the domain of climate risk analysis and impact of climate change in at least 2-3 sectors. Ability to communicate complex ideas effectively. Learnings from previous work experiences/academic projects. The candidate is expected to have clarity on their current career position and goals for 2-3 years. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Guy Carpenter, a business of Marsh McLennan (NYSEMMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

We are looking for a highly skilled Data Scientist to join our team and help drive data-driven decisions and AI-powered innovation . The ideal candidate will have strong analytical and problem-solving skills, experience working with large datasets, and a deep understanding of machine learning , statistical modeling , and artificial intelligence tools including growing exposure to Generative AI (GenAI) technologies. As a Data Scientist, you will collaborate with various teams to analyze data, build predictive and generative models, and contribute to the companys strategic goals. Youll also have opportunities to explore and experiment with emerging GenAI techniques, such as large language models (LLMs), prompt engineering , and synthetic data generation to support cutting-edge solutions. Required Skills & Qualifications Bachelors or masters degree in data science, Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or applied ML role. Proficiency in Python, R, or SQL, and libraries such as scikit-learn , pandas or NumPy . Strong grasp of machine learning concepts, including regression, classification, clustering, and model evaluation. Experience with data visualization tools like Power BI, Tableau , or matplotlib/seaborn . Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras, OpenCV. Basic familiarity with Generative AI concepts (e.g., LLMs, prompt engineering, or transformer models) and a willingness to learn and apply them. Excellent analytical and problem-solving skills, with strong attention to detail. Effective communication skills, with the ability to translate complex technical findings for business stakeholders. Preferred candidate profile Experience with cloud platforms like Azure, AWS, or GCP . Exposure to LLM APIs (e.g., OpenAI, Hugging Face Transformers) or LangChain for building GenAI prototypes. Knowledge of deep learning, neural networks , and unstructured data (e.g., text, images). Familiarity with data engineering and ETL processes. Awareness of AI ethics , bias detection, and responsible model development practices.

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Corporate Function – Data Science Designation: AI Scientist Desired Experience: 0-3 Year Required Educational Qualification : PhD/ M.Tech / B.Tech with relevant experience from Tier 1 Campus As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in/

Job responsibilities Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models) Required qualifications, capabilities, and skills Ph.D. or MS degreein Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network CNN, RNN and Transformer, Clustering, Recommendation) as well as design and tuning procedures Polished and clear communication Preferred qualifications, capabilities, and skills Minimum 4 years of experience in developing and managing predictive risk models in financial industry Demonstrated experience in designing, building, and deploying production quality machine learning and deep learning models. Experience in interpreting deep learning models is a plus Minimum 4 years of experience and proficiency in coding (Python, Tensorflow or PyTorch, PySpark, SQL), familiarity with cloud services (AWS Sagemaker, Amazon EMR) Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is a plus Strong ownership and execution, proven experience in implementing models in production

Job responsibilities Utilize cutting-edge approaches to design and develop sophisticated machine learning models to drive impactful decisions for the business Leverage big data/distributed computing/cloud computing platforms to optimize and accelerate model development processes Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production Collaborate with various partners in marketing, risk, technology, model governance, etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models) Required qualifications, capabilities, and skills Ph.D. or MS degreein Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network CNN, RNN and Transformer, Clustering, Recommendation) as well as design and tuning procedures Polished and clear communication Preferred qualifications, capabilities, and skills Minimum 4 years of experience in developing and managing predictive risk models in financial industry Demonstrated experience in designing, building, and deploying production quality machine learning and deep learning models. Experience in interpreting deep learning models is a plus Minimum 4 years of experience and proficiency in coding (Python, Tensorflow or PyTorch, PySpark, SQL), familiarity with cloud services (AWS Sagemaker, Amazon EMR) Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is a plus Strong ownership and execution, proven experience in implementing models in production

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) 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 5+ 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.

Roles and Responsibilities Design industry metrics to be used real time by the market leaders, cutting across the entire eco-system for all the high growth market, newer applications, cutting edge technology developments impacting main stream businesses Responsible for teams and self-production. Improvise the quality of research and consulting projects, by adding more insight, accuracy, best practices, domain knowledge and use of advanced metrics. Deliver projects on time and maintain high quality standards of the deliverables. Understand and track market insights on multiple sectors. Participate actively in internal and external client interactions, KOL interviews, proposal developments, client TOCs. Demonstrated ability to synthesize and distill the results of complex market research and analytics, resolve complex analytical problems Provide pre sales support to maximize revenues of the end customers and acquire new customers by unique value prop. Managing the delivery of training and development program. Good organizational, Team Management, time management and project management skills. Desired Candidate Profile 5-8 years minimum experience in Research and Consulting industry. Should have managed a team in the past. Strong quantitative, research, and data analytic skills Hands-on experience in Forecasting, Market research, analytics, Competitive Intelligence, market forecast, syndicated report, corporate strategy, Project Management/Planning, Consulting, Strategic Advisory. Experience in an extremely fast paced work environment preferably in research, consulting or marketing/strategy. Strong analytic skills, critical thinking skills with experience in statistical modeling and analysis Exceptional written, oral, and presentation communication abilities Expertise with Excel, PowerPoint. Good People Management skills Ability to work across multiple accounts and projects concurrently, while maintaining the highest level of quality in work

Responsibilities Work with large, complex datasets; solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and verbal delivery of results to business partners. Collaborate closely with stakeholders in Product Management, Engineering and Operation teams to define relevant questions, objectives and metrics, identify and implement quantitative methods to answer those questions. Develop, own and evolve methodologies and frameworks providing a source of truth measures for the organization. Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to faciliate the efficacy improvement. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.

We are seeking a talented and experienced Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) to join our clients team Mobilewalla, a global, fast-growing consumer data and technology company headquartered in Atlanta, GA, USA. You will play a crucial role in leveraging your expertise in tabular data analysis and LLMs to extract insights, build predictive models, and drive data-driven decisions at scale, especially for our Telco Vertical product. Collaborating closely with fellow engineers, you will contribute to the evolution of our platform by developing large-scale systems that process and act on massive amounts of data both in real-time and offline. Responsibilities: Utilize Large Language Models: Harness the power of Large Language Models (LLMs) to analyze massive volumes of tabular data efficiently and effectively. Tabular Data Analysis: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, trends, and anomalies in complex tabular datasets. Predictive Modelling: Develop and deploy predictive models using LLMs to forecast future trends, identify potential risks, and optimize business outcomes based on large-scale tabular data. Data Handling and Pre-processing: Lead efforts in cleaning, pre-processing, and transforming raw tabular data to ensure quality, consistency, and scalability for analysis. Collaborative Problem-Solving: Collaborate closely with cross-functional teams to understand business challenges, formulate data-driven solutions, and drive actionable insights from tabular data. Product Enhancement: - Work closely with product managers to identify market trends and customer needs, translating them into actionable data science projects. - Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction. Communication and Visualization: Effectively communicate findings, insights, and recommendations to non-technical stakeholders through clear visualizations, reports, and presentations. Mentorship and Leadership: Provide guidance, mentorship, and technical leadership to junior data scientists and team members, fostering a culture of learning and innovation. Qualifications: Educational Background: - Masters or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Large Language Models (LLMs): Extensive experience working with Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer) for processing and analyzing tabular data at scale. Programming Proficiency: Strong proficiency in programming languages such as Python or R, with expertise in libraries such as PySpark, Pandas, NumPy, scikit-learn, and TensorFlow/PyTorch for data manipulation, analysis, and modeling. Experience: - Proven track record of at least 4-5 years in a data science role with a focus on Telco competitive intelligence products. - Strong experience in applying machine learning algorithms and statistical modeling in the Telco domain. Technical Skills: - Proficiency in programming languages such as Python or R. - Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools. Domain Knowledge: - In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies. - Familiarity with Telco-specific datasets and data sources. Preferred Qualification: - Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products. Collaboration: - Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders. Communication Skills: - Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner. If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join the team and contribute to the success of our cutting-edge products in the telecommunications space.,

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

DBS Global University is a leading institution that values academic excellence, research, and innovation. We strive to empower our students with cutting-edge knowledge and skills to thrive in the ever-evolving business landscape. We are looking for a dedicated and knowledgeable professional to join our esteemed faculty team and contribute to the growth of our Business Analytics program. We are seeking an experienced and enthusiastic Faculty Member in Business Analytics to deliver high-quality instruction, mentor students, and contribute to curriculum development. The ideal candidate will possess a strong foundation in Business Analytics and its applications in real-world business scenarios. Key Responsibilities - Develop and teach undergraduate and/or postgraduate courses in Business Analytics, including topics such as data analysis, statistical modeling, machine learning, and data visualization. - Design and implement innovative teaching strategies to enhance student learning and engagement. - Supervise student projects, internships, and research work related to Business Analytics. - Collaborate with colleagues to continuously improve the curriculum and academic offerings. - Conduct research and contribute to the academic community through publications and conferences. - Participate in academic and administrative activities, including faculty meetings and institutional committees. Qualifications - An MBA degree is a must. MBA with BTech will be preferable. - A strong academic or industry background in Business Analytics, with hands-on experience in data-driven decision-making. - Proficiency in analytical tools and programming languages such as Python, R, SQL, Tableau, or Power BI. - Prior teaching experience in higher education is highly desirable. - Excellent communication, presentation, and interpersonal skills. - A passion for teaching and mentoring students. Why Join Us - Opportunity to work in a dynamic academic environment. - Access to state-of-the-art resources and facilities for teaching and research. - Competitive salary and benefits package. - Support for professional growth and research endeavors.,

As a Specialist in the S&C GN AI - Insurance AI Consulting team at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and leveraging industry expertise to deliver value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. In this role, you will work with the team to architect, design, build, deploy, deliver, and monitor advanced analytics models, including Generative AI, for various client problems. You will also be responsible for developing functional aspects of Generative AI pipelines and interfacing with clients to understand engineering and business problems, translating them into analytics problems that deliver actionable insights and operational improvements. To excel in this position, you are required to have a minimum of 2-4 years of experience in data-driven techniques, including exploratory data analysis and data pre-processing, as well as a Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related field. An MBA degree is mandatory, along with a solid foundation in Statistical Modeling, Machine Learning algorithms, and GenAI. Proficiency in programming languages such as Python, PySpark, SQL, or Scala is essential, as well as strong communication and presentation skills. Accenture Global Network offers a dynamic and collaborative environment where you will have the opportunity to work on innovative projects, grow your career, and gain leadership exposure. Join us in pushing the boundaries of business capabilities and delivering impactful solutions to clients. If you are passionate about leveraging Generative AI, design thinking, business process optimization, and stakeholder management skills to drive business success, we invite you to explore this exciting opportunity with Accenture.,

The internship involves conducting Social Media Marketing, Content Writing, working on SEO, and Google Ad-words. You will be responsible for implementing these strategies to enhance the online presence of the company. Proficiency in Social Media Marketing, MS-Office, and Statistical Modeling is required. Ideal candidates should be available for a full-time (in-office) internship, able to start immediately, commit to a minimum duration of 6 months, possess relevant skills, and have a strong desire to learn. Freshers seeking job opportunities are also encouraged to apply. The stipend for this internship is INR 5000 per month. In addition to the stipend, you will receive a Certificate, Letter of recommendation, and a potential Job offer upon successful completion of the internship. This internship is located in Gurgaon. If you are passionate about digital marketing and eager to gain hands-on experience in various areas, this opportunity is perfect for you. Apply now and kickstart your career in the dynamic field of digital marketing.,

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. Assembling a strong Quant Technology team to build the next generation in-house analytics and trader support tools, this team will sit under the Fixed Income & Commodities Technology (FICT) group. The team will be responsible for developing and maintaining the in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities. You will be tasked with working closely with Quant Researchers, Portfolio Managers & Technology teams to build commodities fundamental analytics and modelling platform from scratch. Your responsibilities will include developing scalable libraries and APIs for commodities fundamental modelling across multiple assets and geographies. You will also be involved in building, helping maintain, and operating end-to-end modelling pipelines that involve diverse and large sets of statistical and machine learning models. Additionally, you will contribute to building scalable tools to aid data analysis and visualization, and collaborate with the broader team to develop robust delivery and operating models that enable rapid development and scalable deployment of new capabilities. To excel in this role, you must possess a strong Python fundamentals knowledge (for data science) and SQL/Database experience. You should have solid experience with all stages of the data modelling pipeline, including data access, transformation, model training and inference pipeline, and data analysis tools. The ability to work independently with hands-on experience on the complete software development lifecycle and relevant development tools is essential. Previous experience as a Quant Developer/Data Scientist in the financial industry is required, with commodities and hands-on statistical/data modelling experience being preferred. Familiarity with tools and libraries like Airflow, Flask, Dash, etc. is also preferred.,

Whether you are at the beginning of your career or seeking your next adventure, your journey commences here. At Citi, you will have the chance to enhance your skills and contribute to one of the world's most global banks. We are dedicated to supporting your growth and development right from the start, offering extensive on-the-job training, exposure to senior leaders, and traditional learning opportunities. Additionally, you will have the opportunity to give back to the community through volunteerism. Citi Finance oversees the financial management and related controls of the firm. The team manages and collaborates on key Citi initiatives and deliverables, such as the quarterly earnings process and ensuring compliance with financial regulations. The team consists of chief financial officers who partner with various businesses and disciplines, including controllers, financial planning and analysis, strategy, investor relations, tax, and treasury. We are currently seeking a highly skilled professional to join our team as Vice President, NTMR Lead Analyst - Hybrid based in Mumbai. As a part of our team, we will provide you with the necessary resources to meet your unique needs, empower you to make sound decisions regarding your financial well-being, and help you plan for the future. Citi offers access to a range of learning and development resources to enhance your skills as you progress in your career. We also provide programs to help employees achieve work-life balance, including generous paid time off packages. Moreover, we encourage our employees to volunteer in their communities, with Citi employee volunteers contributing over 1 million hours globally in 2019. In this role, you will be expected to: The Balance Sheet Management Lead Analyst supports the BSM NTMR manager in bank balance sheet management and optimization. This involves balancing financial resources among different priorities, understanding Non-Trading Market Risk, and contributing to achieving Corporate Treasury's balance sheet optimization objectives and Citigroup's strategic goals. Strong communication skills are essential to collaborate with stakeholders across levels. The role involves providing support to the NTMR manager in executing functional strategy and reflecting strategic influence on the business. The Balance Sheet Management Model Governance group is a critical team within Treasury/Balance Sheet Management responsible for maintaining and governing models used to generate Non-Trading Market Risk metrics within Treasury. This team plays a vital role in overall balance sheet management and directly impacts Citigroup's Capital. Key Responsibilities: - Support the Non-Trading Market Manager with BSM's management process, asset allocation, and risk analysis - Enhance BSM's analytics and establish Citi's first-line NTMR management framework - Align governance and management framework for legal entities with risk exposure - Identify and remediate gaps in non-trading market risk and interact with stakeholders to ensure compliance Qualifications and Requirements: - Experience in statistical modeling, econometrics, or model governance in the financial domain - 5 to 7+ years experience in Financial Services, Treasury, and bank liquidity investment portfolio - Knowledge of debt investment securities and non-trading market risks - Understanding of regulatory, compliance, risk management, and financial management Education: - Bachelor's degree in Finance or related field; advanced degree is a plus - Proficiency in Bloomberg, fixed income tools, Python, and database management - Strong presentation and Excel skills - Understanding of accounting and general ledger principles,

At American Express, the culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to support customers, communities, and colleagues. As a part of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas will be valued, your work will have an impact, and together, we will shape the future of American Express. The AIM (Analytics, Investment & Marketing Enablement) team, a part of GCS Marketing, serves as the analytical engine that drives the Global Commercial business portfolio of American Express. The team's primary objectives include accelerating growth momentum, increasing profitability, and enhancing the value proposition. By providing actionable insights to drive business strategy and growth, the team enables GCS Marketing to achieve its goals. As an Analyst (Band 30) in Gurgaon, India, your role will focus on driving sentinel measurement Analytics across channels and product offerings at Amex. Your key responsibilities will include supporting business partners with campaign measurements, ROI analysis, and actionable data-driven insights for acquisition & engagement treatments in GCS. You will develop analytical solutions by gathering requirements, performing data analysis, and delivering timely reporting for marketing & sales leadership. Additionally, you will collaborate with stakeholders, assess business needs, ensure data integrity, and provide actionable recommendations in times of change. Minimum Qualifications: - Degree in a quantitative field preferred (e.g., B.Tech, BSc/MSc Statistics, Economics) - Knowledge of Hive, Python, PySpark, SQL for data manipulation and statistical modeling - Strong analytical aptitude, technical skills, and project management abilities - Excellent communication skills to present results & methodologies clearly - Ability to work in high-pressure situations with minimal errors and a growth mindset - Strong problem-solving skills, ability to work independently, and challenge the status quo - Comfortable with flexible shift timings to support Global Partners Preferred Qualifications: - 1-2 years of relevant experience with skills in Python, SQL, and Advanced Excel - Knowledge of statistical techniques like hypothesis testing, regression, KNN, t-test, chi-square test - Experience in campaign measurement/marketing analytics is a plus American Express provides benefits to support your holistic well-being, including competitive base salaries, bonus incentives, financial well-being support, comprehensive medical benefits, flexible working arrangements, parental leave policies, access to wellness centers, counseling support, and career development opportunities. Employment with American Express is subject to the successful completion of a background verification check.,

We are looking for a skilled Senior Data Analyst to join our team at Hevo Data, responsible for driving business growth through data-driven insights. The ideal candidate will have a strong background in data analysis and interpretation, with excellent communication skills. Roles and Responsibility Develop and maintain complex data models and dashboards to support business decision-making. Analyze large datasets to identify trends, patterns, and correlations, providing actionable recommendations. Collaborate with cross-functional teams to design and implement data-driven solutions. Create reports and presentations that communicate findings and insights to stakeholders. Stay up-to-date with industry trends and emerging technologies in data analytics. Provide expert-level support for data-related projects and initiatives. Job Requirements Proven experience as a Senior Data Analyst or similar role, with a minimum of 2 years of experience. Strong proficiency in data analysis tools such as SQL, Excel, or statistical software. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced environment with multiple priorities. Strong understanding of data structures, algorithms, and software design patterns. Experience working with large datasets and developing scalable data solutions.

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

Role & responsibilities Key Skills Customer Analytics Expertise Strong understanding of customer life cycle analytics and marketing domain knowledge Experience designing and implementing data-driven business solutions Technical Skills Advanced SQL skills for querying and managing large datasets (transactional, behavioral) Proficiency in Python or R for advanced analytics and machine learning Familiarity with supervised and unsupervised learning techniques Experience with cloud platforms (GCP, AWS, Azure) Hands-on experience with Business Intelligence tools like Tableau, PowerBI, or Alteryx Project Management Ability to plan, execute, track, and deliver projects on time and within budget Risk management and financial tracking skills Managing client expectations, deliverables, timelines, and quality standards Setting up processes and workflows for project success Client and Stakeholder Management Effective communication and presentation skills for client and internal stakeholder engagements Experience leading client conversations and managing cross-functional teams Translating business problems into analytics tasks and solutions Leadership and Mentoring Leading small teams (4-6 members), mentoring and providing performance feedback Defining clear roles, responsibilities, and accountability within teams Driving innovation and productivity across projects Collaboration Working across geographies with onsite and offshore teams Coordinating between consultants, analysts, and other stakeholders Preferred candidate profile In-depth understanding and extensive experience with customer analytics projects across domains with good marketing domain knowledge and with client handling responsibilities is mandatory. Expert with SQL and experience working on large databases (customer transaction data, customer behaviour data etc.) Familiarity with cloud platforms like GCP, AWS, Azure etc. Intermediate and Expert with Python or R for supporting advance analytical solutions Intermediate expertise in supervised and unsupervised learning techniques. Familiarity with business intelligence and analytics platform (Tableau/PowerBI/Alteryx) Experience working with clients, breaking down problem statements into tasks and presenting plans and outputs to project sponsors. Good project management skills Collaborate with clients, onsite teams, and varied delivery teams in India.

Appling knowledge of accessibility guidelines to graphics/illustrations Producing graphics/illustrations in digital formats A minimum of 3 years of experience in graphics production, layout, and/or digital illustration

We are looking for a highly skilled Quant Researcher to join our team at QuantInsti, a leading quantitative learning company in the IT Services & Consulting industry. The ideal candidate will have a strong background in quantitative research and analysis, with excellent problem-solving skills and attention to detail. Roles and Responsibility Conduct thorough quantitative analysis of complex data sets to identify trends and patterns. Develop and implement advanced statistical models and algorithms to solve real-world problems. Collaborate with cross-functional teams to design and execute experiments and studies. Analyze and interpret large datasets to inform business decisions and drive growth. Stay up-to-date with industry trends and developments in quantitative research. Communicate complex technical concepts effectively to non-technical stakeholders. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with data visualization tools like Tableau or Power BI. Excellent understanding of statistical concepts and machine learning algorithms. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively. Strong organizational and time management skills with the ability to prioritize tasks.

We are looking to add an experienced and enthusiastic Lead Data Scientist to our Jet2 Data Science team in India. Reporting to the Data Science Delivery Manager , the Lead Data Scientist is a key appointment to the Data Science Team , with responsibility for executing the data science strategy and realising the benefits we can bring to the business by combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. In this exciting role, y ou will be joining an established team of 40+ Data Science professionals , based across our UK and India bases , who are using data science to understand, automate and optimise key manual business processes, inform our marketing strategy, and ass ess product development and revenue opportunities and optimise operational costs. As Lead Data Scientist, y ou will have strong experience in leading data science projects and creating machine learning models and be able t o confidently communicate with and enthuse key business stakeholders . Roles and Responsibilities A typical day in your role at Jet2TT: A lead data scientist would lead a team of data science team Lead will be responsible for delivering & managing day-to-day activities The successful candidate will be highly numerate with a statistical background , experienced in using R, Python or similar statistical analysis package Y ou will be expected to work with internal teams across the business , to identify and collaborate with stakeholders across the wider group. Leading and coaching a group of Data Scientists , y ou will plan and execute the use of machine learning and statistical modelling tools suited to the identified initiative delivery or discovery problem identified . You will have strong ability to analyse the create d algorithms and models to understand how changes in metrics in one area of the business could impact other areas, and be able to communicate those analyses to key business stakeholders. You will identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time , and ensuring retained data/information provides value to the organisation and remains in-line with legitimate business and/or regulatory requirements. Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI will be essential . They will also have experience in developing and deploying predictive models using machine learning frameworks and worked with big data technologies. As we aim to realise the benefits of cloud technologies, some familiarity with cloud platforms like AWS for data science and storage would be desirable. You will be skilled in gathering data from multiple sources and in multiple formats with knowledge of data warehouse design, logical and physical database design and challenges posed by data quality. Qualifications, Skills and Experience (Candidate Requirements): Experience in leading small to mid-size data science team Minimum 7 years of experience in the industry & 4+ experience in data science Experience in building & deploying machine learning algorithms & detail knowledge on applied statistics Good understanding of various data architecture RDBMS, Datawarehouse & Big Data Experience of working with regions such as US, UK, Europe or Australia is a plus Liaise with the Data Engineers, Technology Leaders & Business Stakeholder Working knowledge of Agile framework is good to have Demonstrates willingness to learn Mentoring, coaching team members Strong delivery performance, working on complex solutions in a fast-paced environment