1575 Predictive Modeling Jobs - Page 16

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA freshers Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IADs Audit plan for the calendar year. To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotaks values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotaks Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. Person who can work alone, close audits and manage stakeholders Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelors degree mandatory). A Bachelors degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Grade M1 to M4 Reports to: Lead/Principal Data Scientist Is a Team leader No Team Size: -- Role Data Scientist/Sr Data Scientist Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role As a Data Scientist specializing in to building Analytical Models for Banks/NBFCs/Insurance industry, your primary responsibility is to utilize machine learning algorithms or statistical models to optimize Business Processes across Customer Life Journey. You will be required to build the model pipeline, work on its deployment and provide the required support until its last leg of adoption. Your role involves collaborating with cross functional teams to develop predictive models that assess Credit Risk and/ or personalize Customer Experience. You will also be responsible for identifying relevant base for targeting (cross-sell/up-sell) and running these campaigns from time to time. Key Responsibilities 1.Writing Optimized Code Develop and maintain efficient, scalable code for model pipelines Implement best practices in coding to ensure performance and resource optimization 2. Version Control and Lifecycle Configuration Familiar with best practices to manage codebase changes with available resources Maintain and update configuration files to manage the lifecycle of data science models 3. Extracting Usable Information from Data Translate business needs into data-driven solutions and actionable insights Conduct thorough exploratory data analysis to uncover trends and patterns. Create and maintain feature repositories to document and manage features used in models 4. Building Robust Models Develop models that are reliable and generalize well across different time periods and customer segments. Continuously monitor and improve model performance to adapt to changing data and business conditions 5. Publishing Model Outcomes Communicate model results and insights effectively to stakeholders. Facilitate the adoption of models by ensuring they meet business needs and are user-friendly. Qualifications Master/PGDM in Statistics/Economics OR MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience Role Proficiencies Must Have Skills Ms Excel & PowerPoint SQL Python Supervised & Unsupervised machine learning algorithms Strong Communication skills Collaborative Mind-set Pro-active Approach to problem solving & stakeholder engagement Good to have Skills SAS AWS S3/ Sagemaker Version Control

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative SkillsProven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technical Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

JOB RESPONSIBILITIES: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical. This department focuses on working on business cases with significant financial impacts for the company, providing solutions to business questions, recommended actions, and scalability options across markets. Your position as a Data Scientist will involve leading projects within the Analytics Continuum, where you will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions aimed at achieving clear financial objectives for Colgate-Palmolive. Your responsibilities will include building predictive modeling solutions, applying ML and AI algorithms to analytics, developing end-to-end business solutions from data extraction to building business presentations, conducting model validations, and continuous improvement of algorithms. You will also deploy models using Airflow and Docker on Google Cloud Platforms, own Pricing and Promotion, Marketing Mix projects, and present insights to business teams in an easily interpretable manner. To qualify for this role, you should have a BE/BTECH in Computer Science or Information Technology, an MBA or PGDM in Business Analytics or Data Science, additional certifications in Data Science, or an MSC/MSTAT in Economics or Statistics. You should have at least 5 years of experience in building statistical models, hands-on experience with coding languages such as Python and SQL, and knowledge of visualization frameworks like PyDash, Flask, and PlotLy. Understanding of Cloud Frameworks like Google Cloud and Snowflake is essential. Preferred qualifications include experience in managing statistical models for Revenue Growth Management or Marketing Mix models, familiarity with third-party data sources, knowledge of machine learning techniques, and experience with Google Cloud products. At Colgate-Palmolive, we are committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. Our goal is to develop talent that best serves our consumers globally and ensure that everyone feels a sense of belonging within our organization. We are an Equal Opportunity Employer dedicated to empowering all individuals to contribute meaningfully to our business.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

As a Data Analyst with deep experience in the US Healthcare industry and skills around Machine Learning (ML), you will play a vital role in conducting comprehensive data analysis using statistical and exploratory methods to uncover patterns and insights that drive data-driven decision-making in the healthcare domain. Leveraging your knowledge of healthcare industry metrics such as HEDIS, CMS Star Ratings, risk adjustment models, and revenue cycle data, you will optimize analytics strategies to ensure efficient data quality, availability, and reliability for AI/ML-driven healthcare analytics solutions. Your responsibilities will include designing and maintaining data pipelines for the ingestion, transformation, and storage of claims, electronic health records (EHR), HL7/FHIR data, and real-world evidence (RWE) while ensuring compliance with HIPAA, PHI, and other regulatory requirements. Collaborating closely with data science and engineering teams, you will develop and maintain dashboards and reports that translate complex healthcare data into actionable insights for business stakeholders using visualization tools such as Streamlit, Snowflake, Power BI, or similar platforms. You will apply your expertise in healthcare cost, quality, and operational performance analytics to deliver meaningful insights and work closely with cross-functional teams, including data science, engineering, API development, and healthcare operations, to understand data needs and deliver tailored solutions. Additionally, you will engage with industry experts, attend relevant healthcare and data science conferences, and contribute to continuous learning within the team to enhance process understanding and ensure data accuracy for regulatory and business reporting. To excel in this role, you should have strong proficiency in SQL and Python, including libraries such as pandas for data manipulation and analysis. Experience with healthcare data visualization and storytelling tools, familiarity with ETL pipelines, data warehousing, and cloud platforms (AWS, Azure, GCP) for healthcare data processing, as well as knowledge of healthcare standards and regulations are essential. Experience in revenue cycle management (RCM), medical coding (ICD, CPT, DRG), and healthcare cost/utilization analytics is a plus, along with the ability to analyze complex healthcare datasets and derive meaningful insights impacting operational efficiency, patient outcomes, and cost optimization. Excellent communication and stakeholder management skills, with the ability to translate technical findings into business insights, are key to collaborating effectively with healthcare business teams, IT, and data science professionals. A curious mindset and willingness to explore new challenges and drive innovation in healthcare analytics are also important qualities for success in this role.,

As an AI/ML Specialist, you will be responsible for building intelligent systems utilizing OT sensor data and Azure ML tools. Your primary focus will be collaborating with data scientists, engineers, and operations teams to develop scalable AI solutions addressing critical manufacturing issues such as predictive maintenance, process optimization, and anomaly detection. This role involves bridging the edge and cloud environments by deploying AI solutions to run effectively on either cloud platforms or industrial edge devices. Your key functions will include designing and developing ML models using time-series sensor data from OT systems, working closely with engineering and data science teams to translate manufacturing challenges into AI use cases, implementing MLOps pipelines on Azure ML, and integrating with Databricks/Delta Lake. Additionally, you will be responsible for deploying and monitoring models at the edge using Azure IoT Edge, conducting model validation, retraining, and performance monitoring, as well as collaborating with plant operations to contextualize insights and integrate them into workflows. To qualify for this role, you should have a minimum of 5 years of experience in machine learning and AI. Hands-on experience with Azure ML, ML flow, Databricks, and PyTorch/TensorFlow is essential. You should also possess a proven ability to work with OT sensor data such as temperature, vibration, flow, etc. A strong background in time-series modeling, edge inferencing, and MLOps is required, along with familiarity with manufacturing KPIs and predictive modeling use cases.,

This exciting opportunity is responsible for providing Asset Predictive Analytics (APA) support for industrial clients. You will be utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. Your role will require a strong understanding of mechanical systems, data analysis, and predictive modeling to improve equipment reliability and reduce downtime. You will be responsible for implementing Asset Predictive Analytics (APA) for major rotating and static equipment such as compressors, pumps, gas turbines, steam turbines, motors, blowers, fans, fired heaters, distillation columns, transformers, and heat exchangers. This will involve conducting data collection and analysis, developing predictive models using machine learning algorithms, and optimizing maintenance schedules based on predicted failure risks. Additionally, you will collaborate with maintenance teams to implement optimized maintenance plans. To be successful in this role, you must hold a B.E/B.Tech degree in Mechanical or Chemical Engineering or equivalent from a recognized university. You should have a minimum of 5-7 plus years of experience in Asset Predictive Analytics in industrial sectors, preferably oil & gas. Knowledge of reliability principles, tools, methodologies, and experience with AVEVA Predictive Analytics or similar solutions are essential. You should possess a strong understanding of mechanical systems and equipment, proficiency in data analysis, statistical modeling, and programming languages such as Python, R, or others commonly used for data analysis and machine learning. Experience in developing and implementing predictive models using machine learning algorithms is required. Effective communication skills to convey technical information to both technical and non-technical audiences are crucial. Furthermore, you should have experience with CMMS, SCADA, and other relevant software and tools, as well as competency in fault analysis of rotating machinery and static equipment. Strong interpersonal skills, a collaborative approach, passion, commitment, self-awareness, and a systematic approach to work with high attention to detail are key competencies for this role. This position will involve engaging with client/team stakeholders at a senior level. As part of the role, you will be working with clients in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries. Travel may be required based on business needs. In summary, the role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis, machine learning techniques, and predictive modeling to enhance equipment reliability and reduce downtime. This position requires a strong mechanical engineering background, expertise in data analysis and statistical modeling, and the ability to communicate technical information effectively.,

As a Python Developer with 3 - 5 years of experience in Python development with machine learning expertise, you will be responsible for creating machine learning models and algorithms utilizing frameworks like TensorFlow and PyTorch. Your main objective will be to develop machine learning solutions for anomaly detection, predictive modeling, optimize model performance, ensure data accuracy, and collaborate closely with stakeholders to deliver impactful AI-driven insights and applications. Your key responsibilities will include developing and maintaining machine learning models using Python and relevant frameworks, designing and constructing predictive models for accurate forecasting and trend analysis, collaborating with data scientists to design and implement machine learning solutions. You will preprocess and analyze large datasets to extract meaningful insights, optimize and fine-tune machine learning models for improved performance, develop and implement anomaly detection models to identify unusual patterns in data, and implement and maintain machine learning pipelines for efficient data ingestion and processing. Additionally, you will be tasked with developing and maintaining APIs for integrating machine learning models into applications, monitoring and evaluating model performance in production environments, staying updated with the latest advancements in anomaly detection, predictive modeling, and self-learning techniques, documenting code, processes, and findings to ensure maintainability and scalability, working closely with cross-functional teams to align machine learning solutions with business goals, debugging and troubleshooting issues related to machine learning models and data pipelines, ensuring compliance with data privacy and security regulations, and presenting insights and results to stakeholders through clear and concise reports.,

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance. This role offers an exciting opportunity to leverage healthcare data and advanced analytics to optimize pharmaceutical commercial engagement, driving strategic insights that enhance sales performance, marketing effectiveness, and customer engagement across therapeutic areas. In this position, you will be responsible for various key tasks including Commercial Analytics & Strategy, Sales Performance & Launch Planning, Client Engagement, Technical Execution, and Project Management. Your responsibilities will include conducting customer segmentation and targeting analyses, developing sales force sizing models, executing territory alignment projects, and creating call planning optimization models. Additionally, you will analyze sales performance data, conduct competitive intelligence analysis, and support launch planning for new pharmaceutical products. You will collaborate with pharmaceutical clients to understand their commercial challenges and strategic objectives, presenting findings and recommendations to commercial leadership teams through clear, actionable reports and presentations. Moreover, you will extract, clean, and manipulate large commercial and healthcare datasets, develop automated analytical workflows, and build predictive models for customer behavior and sales forecasting. To be successful in this role, you should possess a Bachelor's or Master's degree in Business Analytics, Marketing Analytics, Operations Research, Statistics, or a related quantitative field. You should have a minimum of 2+ years of professional experience in commercial analytics, pharmaceutical sales operations, or a related consulting environment. Advanced proficiency in statistical programming languages, strong SQL skills, and experience with data visualization tools are required. At Beghou Consulting, we value our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth. If you are looking to work in a challenging yet rewarding role where you can make a significant impact in the pharmaceutical industry, we encourage you to apply for this position.,

At PwC, the focus of individuals in data and analytics engineering is on utilizing advanced technologies and techniques to design and develop robust data solutions for clients. You will be instrumental in the transformation of raw data into actionable insights, facilitating informed decision-making and fostering business growth. As a member of the data science and machine learning engineering team at PwC, your primary responsibility will be to utilize advanced analytics and machine learning techniques to extract insights from extensive datasets, thereby driving data-driven decision-making. Your tasks will include developing predictive models, conducting statistical analysis, and creating data visualizations to address complex business challenges. Your role will be essential in the organization and maintenance of proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for both clients and the firm. You will collaborate closely with industry leaders and various cross-functional Health Industries advisory, tax, and assurance professional teams to generate high-impact, commercially relevant insights. These insights will be integrated into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement efforts. Preferred Knowledge And Skills: You are expected to demonstrate in-depth abilities and a proven track record of successfully managing initiatives aimed at identifying and addressing client needs. Some of the key responsibilities include: - Contributing to the identification of cutting-edge healthcare data sources that differentiate the firm from competitors and enhance value for clients. - Designing and executing experiments to measure the effectiveness of healthcare initiatives and drive continuous improvement. - Collaborating with the US team, healthcare business stakeholders, and client teams to translate analytical findings into actionable recommendations and compelling narratives supporting decision-making. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to facilitate self-service analytics, stakeholder engagement, and regulatory reporting. - Staying informed about industry trends, patient and provider behavior patterns, and emerging technologies influencing the healthcare sector. - Managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge. - Demonstrating proficiency in SQL and Alteryx, as well as Python and/or R for healthcare data manipulation, modeling, and visualization. - Applying machine learning or statistical techniques to real-world healthcare challenges, such as cost forecasting, population health management, or precision medicine. - Possessing a solid understanding of key healthcare metrics and experience with healthcare datasets from various sources. - Knowledge of geospatial or time-series analysis in a healthcare context, such as site-of-care optimization and treatment seasonality. - Previous involvement in pricing strategy, access and reimbursement modeling, value-based care analytics, or health equity assessment. In summary, as a member of the data and analytics engineering team at PwC, you will play a vital role in leveraging advanced technologies to develop data solutions, extract insights, and drive data-driven decision-making in the healthcare sector. Your contributions will be crucial in addressing complex business challenges and providing strategic support to clients and the firm.,

Urgent Hiring for MNC for Model Validation role, which includes- Wholesale Fraud analytics model, Machine learning, model validation Experience in Wholesale IRB model development/validation Kindly send your updated CV at jatin@smrd.in

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with cross-functional teams to understand business needs, analyzing data to derive insights, and presenting your findings to stakeholders to support strategic decisions. You will also measure and justify the value of AI and machine learning solutions, ensuring they align with organizational goals and deliver tangible results. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Analyze complex datasets to extract actionable insights that inform business strategies.- Collaborate with stakeholders to define project requirements and deliverables. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with data manipulation and analysis using programming languages such as Python or R.- Familiarity with data visualization tools to effectively communicate findings.- Ability to work with large datasets and perform statistical analysis. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAS BI Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. You will perform maintenance, enhancements, and/or development work, contributing to the overall success of the projects. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with team members to analyze, design, and develop software solutions.- Participate in code reviews and provide constructive feedback.- Troubleshoot and debug software applications to ensure optimal performance.- Document software specifications and ensure code quality.- Stay updated with industry trends and technologies to enhance skills. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS BI.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 2 years of experience in SAS BI.- This position is based at our Chennai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into your projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R.- Knowledge of data visualization techniques and tools. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, managing the team's performance, and making key decisions. You will also provide solutions to problems for your immediate team and across multiple teams, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for application-related matters- Oversee the entire application development process- Ensure successful implementation of applications Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in PySpark- This position is based in Gurugram- A 15 years full-time education is required Qualification 15 years full time education

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. Job Location Gurgaon /Mumbai What do we expect from you? Analyze & interpret data and communicate results to clients, often with the aid of Mathematical/statistical techniques and software. This role requires: Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. Complex statistical concepts are explained in a way that clients can understand and advice on strategy. What do you need to excel at? Well-versed in quantitative analysis, data mining, trend analysis, customer profiling, clustering and predictive modelling. Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need. Should be able to handle assigned tasks in the capacity of individual contributor. Demonstrate excellent teamwork. Collaborate with other data analysts to provide development coverage, support, and Knowledge sharing and mentoring of junior team members. What are we looking for? Bachelor's in Computer Science, Engineering, Statistics, Maths or related quantitative degree. 3-5 years of relevant experience in a data analysis or related role. Experience in BFSI and CPG Domain is Preferred. Experience of data pre-processing and data manipulation using Python or SQL Should have some experience of statistical analysis and modeling techniques (e.g., regression, classification, clustering). Experience with machine learning, deep learning frameworks and libraries ( good to have) Familiarity with data processing tools and frameworks Experience with data visualization tools like Tableau or Power BI. Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written. Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

Job Summary: We are seeking a skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis and visualization, with proven experience in using Tableau and Power BI to transform data into actionable insights. This role requires a detail-oriented individual who can work collaboratively to support data-driven decision-making across the organization. Experience with Streamsets and Databricks is considered an added advantage, with a focus on managing data pipelines and performing advanced analytics. Key Responsibilities: Collect, analyze, and interpret large datasets to identify trends and patterns. Develop and maintain interactive dashboards and reports using Tableau and Power BI. Collaborate with cross-functional teams to understand their data needs and provide solutions. Ensure data accuracy and integrity by performing regular data quality checks. Present findings and insights to stakeholders in a clear and concise manner. Stay updated with the latest trends and best practices in data visualization and analytics. Qualifications: Minimum of 6 years of experience in data analysis and visualization. Proficiency in Tableau and Power BI is required. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information. Excellent communication skills, both written and verbal. Ability to work independently and as part of a team. Experience with SQL and other data manipulation tools is a plus Preferred Skills: Experience in statistical analysis and predictive modeling. Experience with Steamsets and Databricks is added advantage.

We are seeking a dynamic and detail-oriented Business Analyst to join our team. The ideal candidate will have 2-4 years of experience and a strong analytical mindset to solve complex business problems. Proficiency in SQL, Tableau, R, Python (advanced preferred), and an ability to derive actionable insights is essential for this role. Key Responsibilities: Data Analysis and Insights: Analyze complex datasets to provide actionable insights for business growth and operational efficiency. Utilize SQL to extract data and perform in-depth analysis. Visualization and Reporting: Develop and maintain dashboards and reports using Tableau to track business performance. Ensure visualizations effectively communicate key insights. Statistical and Predictive Modeling: Use R or Python to perform statistical analyses and build predictive models to guide Decision-making. Problem-Solving: Identify bottlenecks, inefficiencies, and opportunities for improvement in processes. Collaborate with stakeholders to recommend solutions and monitor implementation. Collaboration: Work closely with cross-functional teams (product, engineering, marketing, etc.) to define and execute business strategies. Technical Skills: Proficient in SQL for data querying and manipulation. Strong experience with Tableau for creating dashboards and reports. Hands-on experience with R and Python for statistical and data analysi

Analyse large, complex datasets to identifymeaningful trends and insights. Build impactful dashboards and visualizationsusing Tableau, Power BI, or Python-based tools like Plotly/Dash. Apply statistical methods such as hypothesistesting, regression, and probability distributions. Conduct exploratory data analysis (EDA) touncover data patterns and inconsistencies. Implement foundational ML techniques(classification, clustering, regression) and evaluate them using metrics likeprecision, recall, F1 score, ROC-AUC. Write clean and modular Python code for datatransformation and analysis. Collaborate with tech teams for model or scriptdeployment (bonus for Docker/CI-CD familiarity). Communicate findings effectively with bothtechnical and non-technical stakeholders. IdealCandidate Profile Core Skills: Strong Pythonprogramming (API work, automation scripts, data pipelines). Data wrangling, cleaning, and EDA SQL for querying structured data ML concepts (logistic regression, clustering, decisiontrees) Basic understanding of DL (neural networks, CNNs,RNNs) Statistical analysis and hypothesis testing Data visualization with Tableau, Power BI, or Python libraries Mindset/Behavioural: PracticalThinker: Chooses the right level of complexity to get useful, timely solutions. Patient andAdaptable and stays calm, pivot fast, and deliver. Requirementsand goals shift frequently in our fast-paced environment. Fast Learner:New tools, new APIs, new business challenges , and we expect you to pick themup quickly. StrongCommunicator: Able to explain insights in plain English to non-technical teams. Team Player:We build as a company and as a team. Collaboration and helping each other growis part of the job. ProcessReader: Must have the ability to carefully read documents, understand providedprocesses, and replicate solutions as required. Open to mentoring juniors, teaching along the way. Diveinto large, complex datasets to identify hidden patterns and anomalies Extractmeaningful trends to support strategic decision-making Performin-depth user behaviour analysis to improve productfeatures and engagement Conduct performanceoptimization using statistical techniques and dataexperimentation Enable strategicforecasting for business and product planning throughpredictive modeling Usedata storytelling to translate complex findings into clear, actionable insights Applya mix of statistics , machine learning , and visualanalytics to solve real-world problems. Strengtheninternal datasets by sourcing and integrating relevant external data using APIsand third-party platforms. Supportcross-functional stakeholders with insights that drive measurable businessimpact . You hold a degree in Mathematics, Statistics, Computer Science,Engineering, or related fields. You have 1-2 years of experience in data analysis orrelated analytical work. You are passionate about solving real-world problems with data. Can collaborate closely with non-technical businessstakeholders.

Job Title:Senior Data AnalystExperience5-10 YearsLocation:Remote : As a Senior Data Analyst, you will provide invaluable insights to our product and Business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies, and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation. Your Mission: Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention. Provide actionable insights and compelling narratives to influence major decisions at the C-level. Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact. Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality. A Little More About You: 5+ years of hands-on technical experience in a high growth environment. Proficiency in SQL for deriving insights. NEEDED Experience in building "Looker dashboards " in BI tools Proficiency in Python is a plus.

Job Title:C++ Quant DeveloperExperience12-15YearsLocationIndia/ US (Remote) : Description As a C++ Quant Developer, you will be responsible for implementing Treasury Futures and Options on Treasury Futures Models within BondCalc. You will collaborate with the Clients quants and ensure rigorous testing and validation of the models. Responsibilities: Implement Treasury Futures Model in C++ as per Clients Quant Library standards. Expand existing test suites and validate model accuracy. Collaborate with quantitative analysts to translate mathematical models into production-quality code. Optimize and modernize analytics infrastructure for fixed-income securities. Maintain version control and ensure code quality through rigorous testing. Skills & Qualifications: Proficiency in C++ with experience in financial libraries (e.g., QuantLib). Strong knowledge of fixed-income products, particularly Treasury Futures & Options. Experience with numerical computing, financial modeling, and Monte Carlo simulations. Ability to write clean, efficient, and testable code. Familiarity with Git, CI/CD, and Agile development methodologies. Experience working with quant teams in a high-performance computing environment. Project Overview The candidate will work on the Treasury Futures Model Development project, which involves C++ implementation of Treasury Futures Models in collaboration with quant teams. The role focuses on integrating these models into a Quant Library, enhancing analytics infrastructure, and conducting extensive testing. Required Qualifications Experience working in investment banking or asset management environments. Familiarity with quant libraries and financial engineering concepts. Proven track record of delivering large-scale quantitative development projects. FocusMathematical modeling and developing pricing/risk models. Key Responsibilities: Designing and implementing mathematical models for pricing financial derivatives. Developing risk models for portfolio management, VaR (Value-at-Risk), and stress testing. Writing C++ code to prototype and implement financial models. Calibrating models to market data and ensuring statistical robustness. Working closely with traders, portfolio managers, and quant developers to translate models into trading strategies. Applying stochastic calculus, numerical methods, and PDEs for pricing complex derivatives. Skills Required: Strong C++ & Python for model implementation and data analysis. Mathematics & FinanceStochastic processes, probability, linear algebra, and option pricing (Black-Scholes, Heston, SABR). Numerical MethodsMonte Carlo simulation, PDE solvers, finite difference methods (FDM), finite element methods (FEM). Data Science & Machine Learning (optional)Applying ML for signal detection in trading. Statistics & OptimizationKalman filtering, regression models, convex optimization. Common Employers: Investment banks (Barclays, Deutsche Bank, Credit Suisse) Hedge funds (AQR, Bridgewater, DE Shaw) Quantitative research firms (WorldQuant, Jane Street)

About the Role We are looking for a Program Manager/Associate Program Manager at Leap. You will work on charters which can have an orbit-change impact on Leaps trajectory. The charter for this role will include: Working on transformation projects for the company. You will do multiple Strategize - Build - Operate - Transfer projects in a year. Augmenting the business unit leaders in solving key problems. You will act as a consultant to help multiple business lines and plug any gaps needed for the business to succeed. Work on open ended projects such as market research, opportunity sizing, user research, identifying M&A opportunities. Do whatever else is critical for the business to win. Ideal Persona would: Have 2 -5 years of total experience. Someone experienced in a high growth startup, ideally exposed to the 0-1 and 1-100 journeys. Have experience with 0 -> 1 phase of company building (rapid experimentation, hypothesis testing, MVP, user research). Have experience with 1->100 phases of company building (process design, hiring, team management, scaling complexities). Have great stakeholder management skills and be extremely influential. Be a ninja at building alignment by influence (not by authority). Have strong first principle thinking, ability to navigate from ambiguity to clarity, should ask the right questions and get to answers fast. Be well networked and know how to learn fast from the right people by asking the right questions.