1143 Statistical Modeling Jobs - Page 2

Python RWe are seeking a skilled Data Scientist proficient in Python and R to join our team The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well structured, and testable code Key Responsibilities: Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis Implement models using Python and relevant libraries such as scikit learn, pandas, and numpy Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods Convert R code to Python and ensure seamless integration between the two languages Utilize R for data manipulation and analysis using tidyverse, dplyr, and data table Optimize and enhance existing R code for performance and scalability Collaborate with cross functional teams to understand business requirements and deliver data driven solutions Follow best practices in software engineering to produce clean, manageable, and testable code Stay updated with the latest industry trends and advancements in data science and machine learning Required Skills and Qualifications: Bachelor s or Master s degree in Computer Science, Statistics, Data Science, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Proven experience as a Data Scientist or similar role with hands on experience in Python and R Strong knowledge of machine learning algorithms and statistical modeling techniques Proficiency in Python libraries such as scikit learn, pandas, numpy, and matplotlib Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data table Experience with relational databases and SQL Ability to convert R code to Python efficiently Familiarity with software engineering principles and best practices Strong problem solving skills and attention to detail Excellent communication and collaboration skills Ability to manage multiple projects and meet deadlines

Roles and Responsibility Design, develop, and implement data models and architectures to support business intelligence and analytics. Develop and maintain large-scale data systems, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams to identify business requirements and develop solutions. Analyze complex data sets to extract insights and trends, providing actionable recommendations. Ensure data quality, integrity, and security through appropriate validation and testing procedures. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of data analysis principles and techniques, including statistical modeling and machine learning algorithms. Experience working with large datasets, developing and maintaining databases, and implementing data governance policies. Excellent problem-solving skills, with the ability to analyze complex issues and develop creative solutions. Strong communication and collaboration skills, with experience working with diverse stakeholders. Ability to design and implement scalable data architectures, ensuring high performance and reliability. Strong attention to detail, with a focus on delivering high-quality results and meeting deadlines. Location - Bengaluru,Hyderabad,Chennai,Pune

Roles and Responsibilities : Develop predictive models using machine learning algorithms to drive business outcomes in the banking industry. Collaborate with cross-functional teams to design and implement data-driven solutions for marketing campaigns, customer segmentation, and portfolio management. Analyze large datasets to identify trends, patterns, and correlations that inform strategic decision-making across various business units. Design and maintain complex statistical models using Python programming language. Job Requirements : 7-15 years of experience in data science or a related field with expertise in artificial intelligence, deep learning, generative AI, natural language processing (NLP), predictive modeling, statistical modeling. Strong background in machine learning techniques such as supervised/unsupervised methods including regression analysis. Experience working with big data technologies like Hadoop/Hive/Pig; proficiency in SQL is required.

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Pune Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : ServiceNow App Engine Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated with the latest technology trends and best practices to ensure that the solutions you propose are innovative and effective. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies that can improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow App Engine.- Strong understanding of cloud architecture and deployment models.- Experience with integration of ServiceNow with other enterprise applications.- Ability to design scalable and high-performance applications.- Familiarity with IT service management processes and best practices. Additional Information:- The candidate should have minimum 12 years of experience in ServiceNow App Engine.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Data Scientist Python and Notebooks Responsibilities Job Description We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements 10-13 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications. Location - Bengaluru,Hyderabad,Chennai,Pune

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : ServiceNow App Engine Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated on industry trends and best practices to ensure that the solutions you propose are innovative and effective. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies that can improve system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow App Engine.- Strong understanding of cloud architecture and deployment models.- Experience with integration of ServiceNow with other platforms.- Ability to design scalable and high-performance applications.- Familiarity with IT service management processes and best practices. Additional Information:- The candidate should have minimum 12 years of experience in ServiceNow App Engine.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

The candidate will leverage their expertise in customer relationship management (CRM) systems especially the Opportunity Management Sales Cloud to analyze business requirements, design solutions, and implement CRM strategies that drive customer engagement and operational efficiency. Key responsibilities include gathering and analyzing stakeholder requirements, optimizing CRM tools for the AgriTech sector, ensuring seamless integration with other business systems. Key Responsibilities: Analyze business processes and translate them into CRM system requirements. Implement and optimize CRM solutions Salesforce Sales Cloud Opportunity Management - tailored to the AgriTech industry. Collaborate with cross-functional teams to ensure CRM strategy aligns with business goals. Provide ongoing support, troubleshooting, and training for CRM users. Utilize CRM analytics to drive customer insights, sales strategies, and retention initiatives. Qualifications: Proven experience as a CRM Business Analyst, preferably in AgriTech or a related field. Strong knowledge of CRM platforms - Salesforce, Microsoft Dynamics, etc. Excellent analytical, problem-solving, and communication skills. Experience in gathering requirements, process mapping, and delivering CRM solutions. B.Tech. MBA Must Have: Salesforce Sales Cloud, Opportunity Management, AgriTech Industry Experience Good to have: Salesforce Manufacturing Cloud Certifications: Salesforce Sales Cloud, Admin, Advanced Admin, Experience Cloud, PD1,

About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models, leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Hands-on experience with LLMs, GenAI, and RAG architectures. Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms, deep learning architectures, and NLP techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

CAT Modelling 2+ Yrs exp Cat modelling Upto 7LPA Immediate Joiners to 30 Days Flexible with Shifts Cat Modeling expertise in RMS RiskLink/AIR Touchstone,SQL, MS-Office Word, Excel and Access Karishma.imaginator@gmail.com Required Candidate profile preparing exposure data for multiple lines of businessData cleansing, enhancing and analysis of COPE information Working on complex and large datasets using MS-Exce good communication skills

Job Title - Vice President Data Location: Hybrid Chennai/Bangalore/Hyderabad/Mumbai/Pune About The Job We are seeking a seasoned and visionary leader to join our executive team as the Vice President Data . This individual will play a pivotal role in shaping the organizations data strategy, driving actionable insights, and fostering a culture of data-driven decision-making across all levels of the business. The ideal candidate will combine deep technical expertise with strategic thinking and proven leadership capabilities. What You Do Strategic Leadership: Define and execute the enterprise-wide data analytics strategy aligned with business goals and innovation priorities. Team Development: Build, mentor, and lead a high-performance analytics team including data scientists, analysts, and BI developers. Data-Driven Transformation: Drive the organization&aposs transition to a data-first culture by embedding analytics into key decision-making processes. Stakeholder Engagement: Collaborate closely with senior leaders, product owners, and operations teams to identify analytical needs and deliver high-impact solutions. Advanced Analytics and Innovation: Oversee the design and deployment of machine learning models, predictive analytics, and data visualization frameworks that generate business insights. Governance and Data Quality: Partner with Data Engineering and IT to ensure the availability, accuracy, and integrity of enterprise data assets. Analytics Enablement: Champion self-service analytics and democratization of data through tools, training, and platforms. Industry Intelligence: Stay on the forefront of emerging trends, technologies, and best practices in data science, artificial intelligence, and data governance. Who You Are Education & Experience Bachelors or masters degree in data science, Computer Science, Statistics, Business Analytics, or a related field Minimum 15-20 yearsof experience in data analytics or data science, with at least 5+ years in a senior leadership role driving enterprise-level analytics initiatives. Strong technical proficiency in SQL, Python, and familiarity with big data platforms Expertise in machine learning, AI, statistical modeling, and predictive analytics. Proven success in leading cross-functional teams, managing complex projects, and influencing C-suite executives. Excellent communication and storytelling skills with the ability to translate complex data insights into clear business value. Experience with modern BI tools such as Tableau, Power BI, Looker, or similar platforms. Soft Skills: Commitment to learn and deliver. Good communication skills (Written and Oral). Willingness to learn, train, and mentor subordinates. English Language proficiency is required to effectively communicate in a professional environment. Strong problem-solving skills and a creative mindset bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise, enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge. Show more Show less

XO Health believes healthcare is fixable. Become part of the community changing the face of the industry. XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone from those who receive care, to those who deliver it, to those who pay for it. We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation. Director Data Engineer - India (Remote) Position Summary: XO Health Inc., an innovative startup health plan, is seeking a visionary leader to spearhead our data engineering strategy, driving the development and implementation of advanced data solutions to optimize our operations and deliver impactful insights for our business and customers. XO Health is not your traditional health plan; we aim to put value-based care at the forefront of our plan designs by empowering providers to make evidence-based care decisions.This position will oversee a team of data engineers, architects, and analysts that are building a robust data infrastructure while leveraging cutting-edge technologies to extract actionable intelligence from vast healthcare datasets and serve up data to various applications. This person will also play a fundamental role in laying the groundwork for the XO Health AI strategy. Key Responsibilities: Design and implement scalable data pipelines, data warehouses, and data lakes to efficiently capture, store, and process large volumes of healthcare data from diverse sources. Lead the development and deployment of advanced analytics models, including machine learning and predictive modeling, to identify trends, predict risks, and optimize pricing, underwriting, and claims processes. Collaborate with cross-functional IT, vendor and business teams across the organization to translate data insights into actionable business strategies, improving customer and provider experience and operational efficiency. Contribute to the development of a world-class data platform that supports data science, analytics, product, and engineering needs across the company. Champion and ensure the privacy and security of our customers' data. Provide leadership and guidance to your teams, fostering a culture of excellence, collaboration, and accountability. Own Data Jira boards that include creating stories, assigning responsibility, and reporting progress. Security and Compliance: Ensure that all solutions adhere to industry standards, including HIPAA compliance and data security best practices. Quality Assurance: Work with the Quality Engineering team to ensure that solutions are thoroughly tested and meet quality standards before deployment. Performance Optimization: Continuously assess and optimize system performance, identifying and addressing potential bottlenecks and areas for improvement. Innovation: Stay up to date with emerging technologies and industry trends, identifying opportunities to leverage new solutions to improve our products and services. Process Improvement: Identify and implement process improvements that enhance the efficiency and effectiveness of the architecture function. Qualifications: Required: Bachelor&aposs degree or higher in Computer Science, Engineering, or a related field. 7+ years of experience leading engineering teams. 9+ years of experience building big data systems handling at-scale data ingestion, processing, and/or storage in AWS Stack. Strong understanding of software architecture principles, design patterns, and best practices. Demonstrated ability to translate complex business requirements into a well-executed technical roadmap. Experience with data science platforms, machine learning infrastructure, data governance, and/or managing regulated data is preferred. Expertise in statistical modeling, machine learning algorithms, and predictive analytics. Excellent communication and stakeholder management skills to effectively translate complex data insights to non-technical audiences. A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success Experience working in a rapidly evolving startup environment Knowledge of healthcare data standards and regulations such as HIPAA and FHIR. Excellent problem-solving, communication, and leadership skills. Why Join Us: Opportunity to shape the greenfield technical strategy of a forward-thinking healthcare startup. Collaborative and innovative environment where your contributions make a direct impact. Competitive salary and benefits package. Join XO Health Inc. as a Director Data Engineering and play a key role in designing the future of healthcare technology. Apply now to be part of a dynamic team that&aposs making a difference! Full compensation packages are based on candidate experience and relevant certifications. ?4,500,0006,000,000 INR XO Health is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. XO Health promotes a drug-free workplace. Show more Show less

About the Role We are seeking a highly skilled Senior Quantitative Researcher to join our medium frequency trading team. This role involves developing and implementing sophisticated trading strategies that operate on timeframes ranging from minutes to several hours, focusing on exploiting market inefficiencies through rigorous quantitative analysis. Key Responsibilities Strategy Development & Research Design, develop, and enhance medium frequency trading strategies across multiple asset classes Conduct in depth research on market microstructure, price dynamics, and trading patterns Perform statistical analysis to identify alpha-generating opportunities Back test and validate trading models using historical data Analyze large datasets from multiple market sources Build predictive models using machine learning and statistical techniques Develop alternative data integration strategies Perform feature engineering and signal generation Required Qualifications Education & Experience Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or related field 3+ years of experience in quantitative research within trading, asset management, or financial services Proven track record of developing profitable trading strategies Technical Skills Expert proficiency in Python, R, or C++ Strong knowledge of statistical modeling, time series analysis, and machine learning Experience with back testing frameworks and strategy validation Skills We Value Strong analytical and problem solving capabilities Attention to detail and rigorous approach to research validation Ability to work independently and manage multiple projects Excellent communication skills for presenting research findings Intellectual curiosity and passion for financial markets Team collaboration and knowledge sharing Application Process Please submit your application including: Current resume/CV highlighting quantitative research experience Cover letter describing your interest in medium frequency trading Examples of previous research work or trading strategies (where permissible) Show more Show less

The position is suitable for people with consistently good academic records and flair to pursue a career in research. Research Associate will get extensive field management and policy design experience by closely working with the Director, senior leadership of the institute and a broad range of stakeholders. Qualification And Experience: Required Qualifications, Skills, and AbilitiesMaster s degree in management, economics, social sciences, or related fields with NET/SET/Ph.D preferable.Thorough understanding of data analysis using MS Excel (must have). Additional knowledge of Statistical modeling, with the latest software will be preferred. Ability to create compelling presentations. Ability to articulate and develop research design in contemporary areas. Strong analytical skills and logical abilities to break down problems and find solutions.Strong written and verbal communication skills. Ability to work with cross functional teams in a dynamic, fast-paced environment.Self-motivated and proactive. Job Profile: The Research Associate will work closely with University s research and development center with Senior academicians to perform a variety of tasks including, but not limited to: Research projects proposal designing. Identifying suitable institutions and Ministries for seeking funded projects. Designing survey questionnaires, conducting qualitative and quantitative research, running pilot exercises, and refining study design and survey instruments. Analyzing available data and helping in designing the database. Assisting with data cleaning, preliminary data analysis, and preparation of documents and presentations for dissemination. Ensuring project documentation and helping in building knowledge products/training material for stakeholder workshops. Writing Research papers for quality journals (Scopus, WoS, ABDC, etc.) Assisting the R&D department in facilitating other researchers for their research work. Interested candidates are advised to APPLY ONLINE only. Shortlisted Candidates will be invited for selection process as per the requirement of the University. Apply Now

Join Teleperformance Where Excellence Meets Opportunity! Teleperformance is a leading provider of customer experience management, offering premier omnichannel support to top global companies. Our diverse service locations, including on-site and work-at-home programs, ensure flexibility and broad reach. Why Choose Teleperformance We emphasize the importance of our employees, fostering enduring relationships within our teams and communities. Our dedication to employee satisfaction distinguishes us. Utilize advanced support technologies and processes engineered to achieve outstanding results. We cultivate lasting client relationships and make positive contributions to our local communities. Become Part of an Exceptional Team! Join Teleperformance, where our world-class workforce and innovative solutions drive success. Experience a workplace that values your development, supports your goals, and celebrates your accomplishments. Job Description Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business (e. g. , Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc. ). Activities include: defining data requirements, data collection, processing, cleaning, analysis, modeling and visualization. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes. Positions on this level are fully proficient in executing established standards. Works independently within set frames and follows set course. Has a knowledge base typically acquired from a professional/university degree and approximately 1-2 years of practical professional experience in a particular area. Develops own knowledge, shares best practice and develops relevant/appropriate solutions. Positions at this level are expected to continuously improve the day-to-day activities/processes. Can be a formal team leader of more junior co-workers and may set day-to-day operational objectives.

Senior Data Scientist (AI/ML Developer) About the Company: Dhurin is a fast-growing data science consulting firm specializing in financial services. We partner with banks, fintech and financial institutions mainly in the Indian market. And we solve complex challenges in risk, fraud, collections, marketing, sales, and operations. We are a niche, analytics-driven team. Your work directly influences how financial institutions make smarter decisions. Dhurin is the place for someone thats passionate about data and wants to grow with a dynamic, well positioned firm. Role Overview: As a Senior Data Scientist, you will lead and deliver high-impact projects in credit and fraud risk analytics. You will design, develop, and deploy advanced ML/statistical models and scorecards, mentor junior team members, and work directly with clients to translate business challenges into data-driven solutions. Responsibilities & Requirements: - 3-7 years of experience in AI/ML or data science roles with exposure to credit or fraud risk in retail banking/financial services. - Strong quantitative foundation B.Tech/M.Tech or B.Sc/M.Sc in Maths, Statistics, Computer Science, or Operations Research - Strong proficiency in Python and SQL with proven experience in handling large datasets. - Strong track record of building and deploying ML/statistical models or scorecards. - Ability to interact with clients and translate business problems into AI/ML frameworks - Leadership skills: Mentoring junior team members and driving projects independently Location : Mumbai/Bangalore Why Join Us? - Growth via the depth and breadth of data science projects for leading banks and fintech. - Opportunity to engage first-hand with clients and build strong industry relationships. - Opportunity to drive real change through your work in a fast-growing niche consulting firm

Data Scientist (AI/ML Developer) About the Company: - Dhurin is a fast-growing data science consulting firm specializing in financial services. We partner with banks, fintech and financial institutions mainly in the Indian market. And we solve complex challenges in risk, fraud, collections, marketing, sales, and operations. - We are a niche, analytics-driven team. Your work directly influences how financial institutions make smarter decisions. Dhurin is 'the place' for someone that's passionate about data and wants to grow with a dynamic, well positioned firm. Role Overview: We are looking for a Data Scientist (AI/ML Developer) to join our Bangalore or Mumbai team. The role focuses on credit and fraud risk analytics within the retail banking space. - You will design, develop, and implement machine learning models, statistical models, and scorecards that drive smarter decision-making for financial institutions. Responsibilities & Requirements: - Up to 3 years of AI/ML/ data science experience with exposure to credit or fraud risk in retail banking/financial services. - Strong quantitative foundation - B.Tech/M.Tech or B.Sc/M.Sc in Maths, Statistics, Computer Science, or Operations Research - Solid proficiency in Python and SQL; experience in handling large datasets. - Hands-on experience in building and deploying ML/statistical models or scorecards. - Ability to translate business problems into AI/ML frameworks. - Strong analytical, problem-solving, and communication skills. Location : Mumbai/Bangalore Why Join Us? - Growth via the depth and breadth of data science projects for leading banks and fintech. - Opportunity to engage first-hand with clients and build strong industry relationships. - Collaborative work environment and mentorship from experienced colleagues. - Opportunity to drive real change through your work in a fast-growing niche consulting firm

Role Data Scientist Manager Years of Experience –10+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions. Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Recruit, train, develop and supervise Junior level employees. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 8+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Role & responsibilities Preferred candidate profile Perks and benefits

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

Role Data Scientist Manager Years of Experience –10+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions. Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Recruit, train, develop and supervise Junior level employees. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 8+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Role & responsibilities Preferred candidate profile Perks and benefits