1575 Predictive Modeling Jobs - Page 13

The Life & Annuity Predictive Analytics (LAPA) business unit at Milliman is a dynamic and diverse team of professionals specializing in data science. As part of LAPA, you will have the opportunity to work with a talented group of individuals including data scientists, data engineers, software developers, and actuarial experts. Together, we strive to help insurers and distributors of life and retirement products leverage data to enhance their competitive edge and financial performance. In this role, you will take on the responsibility of leading industry studies for the LAPA team. Your duties will include overseeing the end-to-end process of data collection, development, testing, deployment, and maintenance of data processing and analytics infrastructure. Additionally, you will be involved in modeling analytics, analyzing results, and preparing comprehensive reports. Key Responsibilities: - Lead policyholder experience studies and direct analysts in preparing study data - Provide expertise in the life and annuity domain and represent Milliman in client interactions - Coordinate project tasks with the technical team and perform statistical methods assessments - Lead the preparation of client reports and relevant marketing materials Qualifications: - Bachelor's degree in a quantitative field (MS preferred) such as Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, or Data Science - Minimum of 5 years of relevant work experience with at least 2 years in an experience analysis or assumption setting role - Membership in a recognized Actuarial institute (e.g., IFoA, IAI, SOA) - Proficiency in common data analysis tools (e.g., Python, R, SASS, SQL) and familiarity with predictive modeling and statistical methods Desired Skills: - Experience in leading project teams and a background in the life and annuity industry - Ability to thrive in a fast-paced environment with a client-centric focus - Strong critical thinking, decision-making, and communication skills - Demonstrated reliability, dedication to quality work, and the capability to articulate ideas clearly - Comfort working both independently and collaboratively while managing competing priorities and deadlines Additional Skills to Develop: - Aptitude for quantitative and critical thought - Experience with cloud-based computing platforms (e.g., Databricks) and analytical programming using spark-based languages (PySpark, SparkSQL) At Milliman, we are committed to our mission of protecting the health and financial well-being of individuals worldwide. Our core values of Quality, Integrity, and Opportunity guide our actions and interactions with clients and colleagues. Through a focus on Collaboration, Communication, People Development, Innovation, and fostering a Positive Culture, we continuously strive for excellence in our work. Diversity, Equity & Inclusion is a key focus for our practice, and we value inclusivity as a business imperative. We expect all team members to contribute to a culture of belonging and support initiatives that promote diversity within our organization. As a professional at Milliman, you are encouraged to embody a client-centric mindset, exceed job expectations, and engage in administrative responsibilities to support the smooth operation of our Practice. Your dedication to exceptional client service, continuous improvement, and adherence to professional standards will contribute to your career growth and success within our team.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. This role is essential for organizations looking to leverage big data to make informed decisions, improve operational efficiency, and gain a competitive advantage. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. In this dynamic position, you will be responsible for interpreting complex data sets, identifying trends, and sharing results with stakeholders through compelling visualizations and reports. Understanding business processes and having the ability to communicate technical concepts to non-technical stakeholders are paramount for success in this role. By effectively utilizing data mining and statistical techniques, you will contribute significantly to the organization's overall data-driven strategy and foster a culture of continuous improvement through data insights. Collaborate with cross-functional teams to understand the data analytics needs, design and implement predictive models to drive business solutions, analyze large datasets to discover patterns and trends, create data visualizations to communicate findings effectively to stakeholders, evaluate model performance and refine algorithms to enhance accuracy, utilize statistical methods to validate results and assumptions, assist in the development and maintenance of analytics tools and frameworks, prepare detailed reports and documentation of analyses performed, stay updated with the latest advancements in AI and analytics technologies, train team members on data analytics best practices and tools, facilitate workshops to promote data-driven decision-making, manage multiple projects simultaneously while meeting deadlines, work closely with IT teams to ensure data integrity and security, identify, analyze, and interpret trends in complex data sets, support strategic initiatives through data-driven recommendations. Required Qualifications: - Masters degree in Data Science, Computer Science, Statistics, or related field. - Proven experience in predictive analytics and machine learning. - Strong proficiency in programming languages such as Python or R. - Experience with data visualization tools like Tableau or Power BI. - Solid understanding of statistical analysis and methodologies. - Hands-on experience with SQL and database management. - Excellent problem-solving and critical-thinking skills. - Strong project management abilities with attention to detail. - Ability to work collaboratively in a team environment. - Effective communication skills for presenting technical concepts. - Experience with big data technologies (Hadoop, Spark) is a plus. - Demonstrated ability to adapt to changing priorities and manage multiple projects. - Familiarity with data cleaning and preprocessing techniques. - Understanding of business processes for contextual application of analytics. - Previous experience in a similar role preferred. - Professional certifications in data analytics or related fields are a plus. Skills: data visualization, problem-solving, Python, communication skills, statistical analysis, machine learning, predictive analytics, AI/ML, data mining, data analysis, R, big data technologies, team collaboration, predictive modeling, SQL, project management.,

You deserve to do what you love, and love what you do - a career that works as hard for you as you do. At Fiserv, we are more than 40,000 FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation, and excellence in everything we do. You have choices - if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv. Responsibilities: Requisition ID R-10341781 Date posted: 07/08/2025 End Date: 07/31/2025 City: Thane State/Region: Maharashtra Country: India Location Type: Onsite Calling all innovators - find your future at Fiserv. Job Title: Credit Risk - Professional I Job Description: The Credit Risk Analyst will be responsible for evaluating the creditworthiness of potential clients and assessing the overall risk associated with credit decisions. This role involves analyzing financial data, monitoring credit trends, and developing risk assessment models to support informed decision-making. The ideal candidate will possess strong analytical skills, attention to detail, and a passion for driving financial performance while ensuring compliance with regulatory standards. What will you do: - Analyze financial statements, credit reports, and other relevant data to assess the credit risk of potential clients. - Monitor existing client accounts to identify potential credit risks and trends. - Prepare regular reports on credit risk exposure and present findings to management. - Work closely with the underwriting teams to provide insights and recommendations regarding credit decisions. - Collaborate with compliance and legal teams to ensure adherence to regulatory requirements. - Assist in the development and validation of predictive models to enhance credit decision-making processes. - Stay updated on market trends, economic conditions, and regulatory changes that may impact credit risk. - Investigations include the gathering of data from various sources and systems and interpreting the data to manage the risk. What will you need to know: - Strong analytical skills with the ability to interpret complex financial data. - Knowledge of credit risk assessment frameworks and regulatory requirements. - Excellent communication skills, both written and verbal, with the ability to present findings to stakeholders. What will be great to have: - Masters degree in Finance. - Detail-oriented, organized, and able to manage multiple priorities effectively. Thank you for considering employment with Fiserv. Please: - Apply using your legal name. - Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.,

You are required to have a minimum of 1 year of experience in customer relationship management within the real estate industry. Additionally, proficiency in statistical analysis techniques is expected to understand customer behavior and enhance service delivery. Your primary responsibilities will include developing and nurturing strong relationships with customers to improve satisfaction and retention rates. Utilizing data analysis and predictive modeling will be crucial to identify customer needs and enhance services. Collaborating with the marketing team to tailor communication strategies based on customer preferences is also part of your role. Efficiently managing customer inquiries and feedback to maintain high service quality, supporting business development initiatives by leveraging customer data analysis, and implementing continuous improvement processes based on customer insights are key aspects of your responsibilities. You will also work closely with engineering teams to ensure customer requirements align with technical solutions. Conducting regular customer reviews to uphold service expectations, exploring growth opportunities, and ensuring alignment with customer needs will be essential in this role.,

We are looking for a highly skilled and experienced Sr. Associate to join our team in Business Analytics & Quant Trading, with 2-5 years of experience. Roles and Responsibility Develop and implement quantitative models to analyze complex business problems and provide actionable insights. Collaborate with cross-functional teams to design and execute trading strategies using advanced analytics techniques. Conduct market research and analysis to identify trends and opportunities for growth. Design and implement data visualizations to communicate complex data insights to stakeholders. Work closely with the development team to integrate new features and functionalities into existing systems. Stay up-to-date with industry trends and developments in quantitative learning and trading. Job Requirements Strong understanding of IT Services & Consulting industry operations and challenges. Experience with quantitative modeling, machine learning, and data visualization tools. Excellent analytical and problem-solving skills, with the ability to work in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. Ability to develop and maintain large-scale data systems and architectures. Strong knowledge of business analytics principles and practices, with the ability to apply them in real-world scenarios.

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

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.

Are you ready to make a meaningful impact in the world of Wealth ManagementWe offer opportunities for career growth and a collaborative environment where your skills will drive innovation and excellence. As a Product Manager within Wealth Management Advisor Compensation team , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You will act as the voice of the customer, developing profitable products that provide customer value. Utilizing your deep understanding of product development, you will guide successful launches, gather crucial feedback, and ensure top-tier client experiences. Job Responsibilities Lead the development and enhancement of tools supporting Wealth Management Advisor Compensation. Drive AI-powered solutions to optimize analytics, forecasting, and automation within compensation frameworks. Develop a deep understanding of wealth management products and associated pay rules. Collaborate with stakeholders to gather business requirements and ensure tool functionality meets strategic objectives. Manage UAT and hands-on experience with SQL queries for financial modeling and reporting Utilize JIRA to document product requirements, development tasks, and project workflows. Work cross-functionally with technology, finance, operations, and compliance teams. Lead and mentor a team of product leads, fostering innovation and strategic execution. Stay ahead of industry trends, regulatory updates, and AI-driven advancements. Required Qualifications, Capabilities, and Skills Extensive domain knowledge in Wealth Management Advisor Compensation within a large financial firm. Strong product management experience with expertise in financial services and compensation tools. Expertise in AI applications for financial analytics, automation, and predictive modeling. Advanced technical proficiency in databases, SQL queries, and financial data analysis. Experience writing JIRA stories and managing software development processes. Proven leadership experience in managing product teams and executing strategic initiatives. Deep understanding of wealth management products and associated pay rules. Excellent communication and stakeholder management skills. Preferred Qualifications, Capabilities, and Skills Knowledge of regulatory requirements affecting wealth management advisor compensation. Experience with enterprise compensation management platforms and financial reporting tools. Ability to translate complex financial models into actionable business strategies. Strong problem-solving and decision-making skills in a fast-paced environment. Demonstrated prior experience working in a highly matrixed, complex organization. Are you ready to make a meaningful impact in the world of Wealth ManagementWe offer opportunities for career growth and a collaborative environment where your skills will drive innovation and excellence. As a Product Manager within Wealth Management Advisor Compensation team , you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. You will act as the voice of the customer, developing profitable products that provide customer value. Utilizing your deep understanding of product development, you will guide successful launches, gather crucial feedback, and ensure top-tier client experiences. Job Responsibilities Lead the development and enhancement of tools supporting Wealth Management Advisor Compensation. Drive AI-powered solutions to optimize analytics, forecasting, and automation within compensation frameworks. Develop a deep understanding of wealth management products and associated pay rules. Collaborate with stakeholders to gather business requirements and ensure tool functionality meets strategic objectives. Manage UAT and hands-on experience with SQL queries for financial modeling and reporting Utilize JIRA to document product requirements, development tasks, and project workflows. Work cross-functionally with technology, finance, operations, and compliance teams. Lead and mentor a team of product leads, fostering innovation and strategic execution. Stay ahead of industry trends, regulatory updates, and AI-driven advancements. Required Qualifications, Capabilities, and Skills Extensive domain knowledge in Wealth Management Advisor Compensation within a large financial firm. Strong product management experience with expertise in financial services and compensation tools. Expertise in AI applications for financial analytics, automation, and predictive modeling. Advanced technical proficiency in databases, SQL queries, and financial data analysis. Experience writing JIRA stories and managing software development processes. Proven leadership experience in managing product teams and executing strategic initiatives. Deep understanding of wealth management products and associated pay rules. Excellent communication and stakeholder management skills. Preferred Qualifications, Capabilities, and Skills Knowledge of regulatory requirements affecting wealth management advisor compensation. Experience with enterprise compensation management platforms and financial reporting tools. Ability to translate complex financial models into actionable business strategies. Strong problem-solving and decision-making skills in a fast-paced environment. Demonstrated prior experience working in a highly matrixed, complex organization.

Associate Economics Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Vice President, Lead Economist, NAM, and will have the following responsibilities: Support client and stakeholder engagements for MEI across NAM Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to RC economic research; share and leverage to continuously improve quality and productivity. All About You Bachelors degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau / Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

We are looking for a highly skilled and experienced AI Leader to join our team at Opkey, with 19 years of experience in the field. The ideal candidate will have a strong background in artificial intelligence and machine learning. Roles and Responsibility Develop and implement AI and ML models to solve complex problems. Lead a team of data scientists and engineers to design and deploy AI solutions. Collaborate with cross-functional teams to identify business needs and develop AI solutions. Stay updated with industry trends and advancements in AI and ML. Design and implement data pipelines and architectures to support AI model development. Work closely with stakeholders to understand requirements and deliver high-quality results. Job Requirements Strong knowledge of AI and ML concepts, including machine learning algorithms and deep learning techniques. Experience with programming languages such as Python, Java, or C++. Strong understanding of software development principles and methodologies. Excellent leadership and communication skills. Ability to work in a fast-paced environment and adapt to changing priorities. Strong problem-solving skills and attention to detail.

Key Responsibilities:Design, develop, and maintain advanced dashboards and reports in Tableau that provide insights into user engagement, product performance, and business metrics.Utilize Databricks to process, clean, and analyze large volumes of data efficiently.Develop complex SQL queries and optimize data pipelines for analytics workflows.Collaborate with cross-functional teams to define key metrics, data requirements, and analytical approaches.Conduct deep-dive analyses and present findings with clear data storytelling to influence product and business strategies.Automate routine reporting and data validation tasks to ensure accuracy and timeliness.Mentor junior analysts and promote best practices in data visualization and analytics.Stay current with latest trends and tools in data analytics, visualization, and big data platforms.

We are looking for a highly skilled AI & ML Engineer with 3 to 5 years of experience to join our team at Stanra Tech Solutions. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills. Roles and Responsibility Design and develop AI and ML models to solve complex problems. Collaborate with cross-functional teams to integrate AI and ML solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and technologies in AI and ML. Work closely with stakeholders to understand business requirements and develop tailored solutions. Ensure high-quality code and adhere to best practices. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of computer vision, natural language processing, or reinforcement learning. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and meet deadlines.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. 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. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI API s), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy API s on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAG s and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Master s Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling 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.

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser s local storage. This includes cookies necessary for the websites operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve websites performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Reject All Cookies Accept All Cookies Search by Keyword Full / Part Time Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: We are looking for an AI/ML Specialist who can build intelligent systems using OT sensor data and Azure ML tools. You will work closely with data scientists, engineers, and operations teams to create scalable AI solutions that solve critical manufacturing challenges like predictive maintenance, process optimization, and anomaly detection. This role bridges the edge and cloud environments, deploying AI to run either in the cloud or on industrial edge devices Key Functions: Design and develop ML models using time-series sensor data from OT systems Collaborate with engineering and data science teams to translate manufacturing problems into AI use cases Implement MLOps pipelines on Azure ML and integrate with Databricks/Delta Lake Deploy and monitor models at the edge using Azure IoT Edge Conduct model validation, retraining, and performance monitoring- Work with plant operations to contextualize insights and embed them into workflows Qualifications needed 5+ years of experience in machine learning and AI Hands-on experience with Azure ML, ML flow, Databricks, and PyTorch/TensorFlow Proven ability to work with OT sensor data (temperature, vibration, flow, etc.) Strong background in time-series modeling, edge inferencing, and MLOps Familiarity with manufacturing KPIs and predictive modeling use cases When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. These cookies are required to use this website and cant be turned off. Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitors device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Functional Cookies These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies. Advertising Cookies These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies.

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Role & responsibilities 4 - 8 years of relevant analytics experience in banks, NBFCs, Fintechs, consultancies. Lead end to end execution of analytical requirements including model development, implementation & stakeholder communication, offer generation, scorecard development, cross selling. Strong understanding of ML algorithms and statistical modelling to address problems predominantly in BFSI domain. Articulate complex data science models / analysis to relevant audience and effectively present the solution in a concise & neat manner. Design, prototype, build & maintain frameworks for consumption of machine learning models at scale. Perform feature engineering through extracting meaningful features from traditional and alternate data sources. Mentor team of data scientists Proficiency in Python, SQL, AWS / GCP / Azure Bachelors / Master’s degree in mathematics, Statistics, Economics, Computer Science or other quantitative course

We are looking for a highly motivated and talented Junior Data Scientist to join our team at AGR Knowledge Services Pvt Ltd. The ideal candidate will have 2-4 years of experience in the field. Roles and Responsibility Collaborate with cross-functional teams to design and develop data-driven solutions. Analyze complex data sets to identify trends and patterns, providing actionable insights. Develop and maintain databases, data systems, and data pipelines. Design and implement machine learning models and algorithms to solve business problems. Work closely with stakeholders to understand business needs and develop targeted solutions. Stay up-to-date with industry trends and emerging technologies in data science. Job Requirements Strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python, R, or SAS. Experience with data analysis tools such as SQL, Excel, or Tableau. Knowledge of machine learning algorithms and deep learning techniques. Excellent communication and problem-solving skills. Ability to work in a fast-paced environment and meet deadlines.

Research Innovation: o Stay up-to-date with the latest advancements in deep learning, LLMs, and statistical methods. o Conduct experiments to explore new techniques and improve existing models. o Perform applied research and experimentation, validate model performance for accuracy, robustness champion responsible AI practices Deep Learning LLM Development: o Design, implement, and optimize deep learning models and frameworks (e.g., TensorFlow, PyTorch, JAX). o Develop and fine-tune large language models (LLMs) for specific use cases, including natural language processing (NLP) tasks. o Experiment with state-of-the-art architectures (e.g., Transformers, GPT, BERT) to solve complex problems. o Knowledge of Agentic frameworks (Crew AI , llama index etc). o Good knowledge of GenAI framework Statistical Modelling Analysis: o Apply advanced statistical methods to analyse data, validate models, and interpret results. o Develop probabilistic models and leverage Bayesian inference techniques where applicable. o Ensure models are statistically robust and generalize well to real-world data. Data Preprocessing Feature Engineering: o Clean, preprocess, and transform large datasets for training and evaluation. o Perform feature engineering and dimensionality reduction to improve model performance. Model Deployment Optimization: o Deploy deep learning models and LLMs into production environments. o Optimize models for inference speed, memory usage, and scalability. o Implement monitoring and evaluation systems to track model performance over time. Collaboration Leadership: o Work closely with cross-functional teams, including data scientists, engineers, and product managers. o Mentor junior team members and provide technical guidance. Requirements and skills 7+ years in applying AI/ML principles to real world applications Broad NLP knowledge: tokenisation, part-of-speech tagging, dependency parsing, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, Word embedding Experience Computer Vision: o Construction, Feature detection, Segmentation, Classification o object detection, tracking, localisation, classification, recognition, scene understanding Experience to Deep Learning - CNNs, LSTMs, network architecture, network tuning, transfer learning, multi-task learning Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution. Experience to Open source NLP libraries e.g. NLTK, Regex, Stanford NLP, OpenNLP/CoreNLP Very strong grasp of IT concepts with a strong algorithms/data structures background Demonstrated history of building prototypes to win business confidence. Experience in using Keras, Tensorflow, Caffe and/or other neural network development frameworks. Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory. Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase. Should have prior experience in developing APIs, services using either C# or Java. Experience in Develop, implement, and optimize machine learning models using the Microsoft AI Platform (Azure Machine Learning, Cognitive Services, etc.) Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. Experience in selecting features, building and optimizing classifiers using machine learning techniques. Should have good awareness on entire machine learning/ predictive modeling implementation. Additional Qualifications: Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of natural language processing (NLP) and computer vision techniques. Familiarity with DevOps practices and CI/CD pipelines for machine learning models. Microsoft Azure certifications (e.g., Azure Data Scientist Associate, Azure AI Engineer Associate). Research business domain and develop use-cases to support enterprise wide AI solutions. Monitor and maintain deployed models, ensuring scalability, performance, and accuracy. Prior experience with data visualization tools, such as D3.js, GGplot, etc.. Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.. Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Basic understanding of the banking industry is value add

Department - Commercial DD&IT GBS Are you passionate about leading complex IT programs? Do you thrive in a dynamic environment where strategic thinking, collaboration, and innovation come together? If you have a proven track record in IT Program Management and are ready to make a difference, we want to hear from you! We are seeking a senior IT Program Manager to lead a large-scale, complex Customer Engagement ecosystem program supporting the HCP Engagement at a global environment (excluding USA). The role will focus on modernization and migration of the Customer Engagement ecosystem, integrating with portals, analytics and marketing platforms ensuring aligned delivery across business, markets, and technology stakeholders within a matrix organization. Read on and apply today for a life-changing career. Apply Now! The position As a Sr Program Manager HCP Engagements at Novo Nordisk, you will: Lead the planning, execution, and governance of IT programs to ensure successful outcomes. Lead the end-to-end delivery of Customer Engagement program including migration from legacy systems to newer technologies. Define and manage program plans, roadmaps, dependencies mapping, and milestones ensuring on-time, quality delivery aligned with business objectives. Drive complex integrations with other enterprise systems (e.g.: MDM, data warehouses, analytics, marketing automation, and HCP Portals). Engage with global and local business stakeholders (medical, commercial, compliance, data privacy) for requirements gathering, prioritization and alignment. Act as the primary escalation point for program risks, dependencies, and decision-making with senior leadership. Navigate a matrix environment while balancing global standards with local market needs. Drive execution of migration roadmaps including data migration, process harmonization, and change management planning. Collaborate with architecture and platform teams to ensure scalable, compliant configurations aligned with HCP engagement goals. Oversee validation, UAT, and cutover activities ensuring minimal business disruption. Manage vendor relationships including product implementation partners and system integrators. Proactively identify and mitigate delivery and operational risks. Ensure programs adhere to pharma quality, compliance (GxP, GDPR) and data privacy standards. Drive strategic alignment of IT initiatives with broader organizational goals. Establish clear project timelines, budgets, and deliverables, ensuring projects are delivered within scope, time, and budget. Facilitate communication and collaboration across cross-functional teams, including IT, business units, and external partners. Identify potential risks, develop mitigation strategies, and proactively address challenges. Champion digital transformation initiatives and promote the adoption of innovative digital solutions. Evaluate emerging technologies and recommend their integration into existing systems. Qualifications We are looking for a candidate who can bring the following skills and experience to the role: Bachelors degree in computer science, Information Technology, Business Administration, or a related field. A masters degree is preferred. Minimum 15+ years of experience in IT program management, with at least 12+ years in a senior or leadership role. Proven track record in managing complex digital and IT projects, including strategy development, implementation, and stakeholder engagement. Familiarity with IT infrastructure, software development lifecycles, and emerging digital technologies. Strong experience in budgeting, vendor management, stakeholder engagement, resource allocations etc. for large scale programs. Strong leadership and people management skills, with a consistent track record to build and lead impactful teams. Excellent communication, negotiation, stakeholder leadership and conflict resolution skills. Superb analytical and problem-solving skills with a focus on continuous improvement. Ability to engage, build and sustain trusted relationship both internally and externally. Proven track record of working in matrix setup of internal and external partner setup to deliver quality service management. Preferred Skills VEEVA/Salesforce certifications or formal training. Experience with CRM analytics and data migration tooling. Background in implementing CRM integrations with marketing automation platforms and content management systems. Experience in leading organizational change management alongside CRM rollouts.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

About Loadshare: LoadShare is one of India’s most innovative and resilient logistics platforms, transforming how goods move across the country. Founded in 2017, we’ve grown to become a pan-India, multi-category last-mile network with a unique presence in both Tier 1 metros and deep Tier 2/3 towns. What sets us apart: • Scale with depth: We handle ~400K deliveries/day across food, e-commerce (B2C), B2B retail, and digital commerce, powered by a 20,000+ rider network. • Strong financials, stronger ambition: With 430 Cr in FY25 revenue and support from global investors (Tiger Global, Matrix, BII, Stellaris, BeeNext), we have a long runway and a path to profitability • Dual-engine model : We not only operate India’s most flexible last-mile delivery network, but also license our in-house logistics tech platform that processes an additional 20 lac orders/day — one of the few in India to enable asset cross-utilization across verticals • Strategic partner to India’s digital economy: We work with every major digital commerce player (ecomm, quick commerce, food, mobility) , and are expanding wallet share and capabilities within existing giants while co-creating new models with emerging platforms and brands. • Built to scale profitably : We’re not chasing GMV at all costs. We’re building the most capital-efficient, tech-enabled logistics engine in the country. We’re now building for our next phase: a 5X scale-up over the next 5 years, anchored in sharper client focus, deeper solutions, and new growth engines. Founders/ Founding team: Raghu Talluri (CEO) - Formerly at Myntra, McKinsey Pramod Nair (CTO) - Formerly at Freecharge, Snapdeal, MartMobi Rakib Ahmed (Co Founder, Head EComm/ Trucking/Warehousing) - Formerly at ICICI Prudential, Co founder Lunate Eco Overall 500+ employees on roll The Role: Where Business Meets Data Science We’re looking for a Senior Data Scientist to join our Hyperlocal Business Unit —the fastest growing part of LoadShare. This isn’t your typical ML role. You'll be at the intersection of real-time rider allocation, business margins, customer experience, and fair pay to gig workers. You'll have full ownership and freedom to rethink how orders get assigned, how riders move, and how we balance profitability with empathy and excellence. Your mission, should you choose to accept: Make our allocation engine smarter and faster, using data science, machine learning, and a bit of madness. Every 0.1% improvement you drive scales across lacs of deliveries and thousands of riders. Roles and Responsibilities What You’ll Work On Rider Allocation Engine: Improve how we assign orders to riders using ML, optimization, and predictive modeling to improve margins, reduce wait times, and increase batchability. Rider Earnings vs. Business Margins: Build models that find the sweet spot between paying riders fairly and hitting profitability goals—without compromising on customer experience. Demand-Supply Matching: Create algorithms to anticipate demand, shape rider shifts across space and time, and reduce delivery failures in hotspots and dark zones. CX & SLA Optimization: Use historical data to predict SLA risks and proactively re-route or re-assign in real-time. Experimentation & Impact: Design A/B tests to validate everything you ship. What you build, you own. Scale ML in Production: Work with engineering to ship robust, real-time data science solutions that touch live operations daily. Why This Role is Cool Real-World Impact: Your models will affect lacs of orders and thousands of livelihoods every single day. Freedom to Experiment : You get a playground with real data, full support from leadership, and space to try bold ideas. Full Stack Data Science: From ideation to shipping models to influencing business decisions, you’ll do it all. Tech + Ops Fusion: See your work directly improve operations, rider morale, and customer happiness—in days, not quarters. Incredible Team: Work with some of the sharpest minds in logistics, ops, and engineering. Quick Commerce Revolution: You get to be in the foreground of the QC revolution, shaping how 3Ps help solve the stress. What We’re Looking For 4+ years of experience in Data Science/ML/OR solving complex real-world problems Strong in Python, SQL, and ML frameworks. Good grounding in optimization, statistics, experimentation, and business sense Curious mind, strong communication skills, and a bias for action. Bonus Points If You Have Worked on last-mile logistics, food delivery, or hyperlocal services Built real-time systems or worked closely with engineering on model deployment Experience with geospatial data, ETA models, or dynamic pricing Passion for making tech more inclusive for gig workers and emerging markets Ready to Redefine Hyperlocal Logistics? Join us. Help build a system that delivers millions of packages, changes thousands of lives, and sets the gold standard for modern intracity logistics—using data.

The Citi Analytics & Information Management (AIM) team, a global community, objectively connects and analyzes information to create actionable intelligence for business leaders. In partnership with the businesses, the team identifies fact-based opportunities for revenue growth and expense reduction. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be to analyze transaction data, understand fraud patterns, and develop fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the strategy implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. Your role entails hands-on analysis on a regular and ad hoc basis, extracting various data sources, generating fraud risk insights, recommending business solutions, and monitoring strategy performance. It is essential to have a holistic view of different retail banking products, integrate analytical thinking with business knowledge, and utilize data analysis tools and methodologies to develop client-centric solutions. Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling is required, along with expertise in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel. Knowledge of Python is desirable, and prior experience in Fraud Analytics is preferable. Familiarity with Tableau or any other data visualization tool is also advantageous. Experience in stakeholder management across functions and regions is necessary to translate data into consumer or customer behavioral insights, drive targeting and segmentation strategies, and effectively communicate with business partners and senior leaders. Strong presentation skills are essential for delivering clear presentations to share thoughts, solutions, or problems with stakeholders and senior management. Project management skills are required to create project plans, assign responsibilities, complete projects in a timely manner, and manage and report control issues transparently. You will be expected to support regulatory/audit activities and other risk and control activities as needed. Qualifications: - 8+ years of analytics experience, preferably in Fraud analytics - Advanced analytical and business strategy skills - Effective communication skills - Ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously - Self-starter with the ability to work successfully in a team environment Education: - Bachelors/University degree or equivalent experience (Masters degree preferred),

As the Manager of Value Enablement & Optimization at our organization, you will play a crucial role in leading the development of data-driven frameworks, tools, and strategies to enhance value delivery across Pricing, Pre-Sales Enablement, and Customer Success. Your responsibilities will include designing and implementing value enablement frameworks, collaborating with global and regional stakeholders, providing data-driven recommendations, and developing advanced analytics tools to quantify and communicate value to clients. You will leverage your technical expertise in programming languages such as Python, R, and SQL for data analysis, modeling, and tool development. Additionally, you will utilize business intelligence platforms to create dynamic dashboards and visualizations that drive decision-making. By integrating AI/ML models and advanced analytics, you will drive automation and scalability to enhance the accuracy and efficiency of tools and insights. Your role will involve building frameworks to measure and track customer value realization, partnering with cross-functional teams to design tailored customer solutions, and developing self-service analytics tools to empower customers and internal teams with actionable insights. Furthermore, you will identify and implement revenue optimization opportunities through strategic analysis, monitor performance metrics, and drive post-sale optimization efforts. Collaboration and team enablement are essential aspects of this role, as you will work closely with cross-functional teams to ensure seamless execution of initiatives. You will foster a collaborative and innovative environment, encourage knowledge sharing, and support training and enablement for internal teams on analytics tools and methodologies to improve efficiency and impact. The ideal candidate for this position will have a proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes. Expertise in programming languages and experience building scalable analytics solutions are required, along with proficiency in business intelligence tools for creating dashboards and data visualizations. Experience integrating AI/ML models is considered a strong advantage. To qualify for this role, you should hold a Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred. Strong technical acumen, exceptional analytical and problem-solving skills, excellent communication and stakeholder management skills, and a deep understanding of pricing strategies, customer success enablement, and revenue optimization principles are also essential for success in this role.,

At PwC, individuals working in data and analytics are dedicated to utilizing data to derive insights and facilitate informed business decisions. By employing advanced analytics techniques, they aid clients in optimizing operations and accomplishing strategic objectives. As a data analyst at PwC, your primary focus will involve leveraging advanced analytical methods to extract insights from extensive datasets and steer data-driven decision-making processes. Your responsibilities will entail utilizing skills in data manipulation, visualization, and statistical modeling to assist clients in addressing intricate business challenges. Your role emphasizes establishing meaningful client relationships while also developing the ability to lead and inspire others. As you navigate through increasingly complex scenarios, you are encouraged to enhance your personal brand, deepen technical expertise, and cultivate an acute awareness of your strengths. You are expected to anticipate the requirements of both your teams and clients, ensuring the delivery of high-quality results. Embracing ambiguity and uncertainty, you remain comfortable in situations where the path forward may not be clear, seeking opportunities for growth through inquiry and learning. To excel in this position, you are required to possess a diverse skill set, including but not limited to the following capabilities: - Effectively responding to varying perspectives, needs, and emotions of others. - Employing a wide array of tools, methodologies, and techniques to generate innovative ideas and resolve complex problems. - Applying critical thinking to deconstruct intricate concepts. - Grasping the broader objectives of your projects or roles and understanding how your efforts contribute to the overall strategy. - Enhancing your comprehension of the evolving business landscape. - Reflecting on your experiences to cultivate self-awareness, enhance strengths, and address areas for development. - Analyzing data to derive insights and formulate recommendations. - Adhering to professional and technical standards, the firm's code of conduct, and independence requirements. Candidates with a minimum of 4 years of practical experience are preferred for this Senior Associate position in the Telecom / Network Analytics / Customer Analytics industry. The successful candidate must exhibit the following skills and traits: Must Have: - Demonstrated experience with telco data such as call detail records (CDRs), customer churn models, and network analytics. - Profound understanding of predictive modeling for customer lifetime value and usage behavior. - Previous exposure to telco clients or telco data platforms (e.g., Amdocs, Ericsson, Nokia, AT&T, etc.). - Proficiency in machine learning techniques, statistical analysis, and programming in Python or R, including SQL for telco data manipulation. - Familiarity with big data technologies commonly used in telco environments (e.g., Hadoop, Spark). - Experience in telecom industry domains like customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics. - Strong communication skills for effective interactions with technical and business teams. Nice To Have: - Familiarity with cloud platforms like Azure ML, AWS SageMaker, GCP Vertex AI. - Experience with telecom OSS/BSS systems or customer segmentation tools. - Knowledge of network performance analytics, anomaly detection, or real-time data processing. - Excellent client communication and presentation abilities. Key Roles And Responsibilities: - Collaborate on analytics projects within the telecom sector, contributing to the design, development, and delivery of data science solutions. - Develop and implement project and analysis plans under the guidance of a Project Manager. - Serve as a subject matter expert to consultants/clients in the US, advising on data sources, datasets, and use case clarifications. - Perform analysis using advanced analytics tools and provide guidance to junior team members. - Establish quality control measures to ensure the integrity of deliverables, including data quality and model robustness. - Validate analysis outcomes and recommendations with stakeholders, including the client team. - Create presentations for the client team and PwC project leadership, outlining key findings. - Contribute to knowledge-sharing and firm-building initiatives. Professional And Educational Background: - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Master's Degree / MBA from a reputable institute.,