3930 R Jobs - Page 27

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 : Machine Learning Good to have skills : NAMinimum 15 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 various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- 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 workshops and training sessions to enhance team capabilities in AI and machine learning.- Continuously evaluate and improve existing AI and machine learning models to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of data preprocessing techniques and feature engineering.- Experience with various machine learning frameworks such as TensorFlow and PyTorch.- Ability to implement and optimize algorithms for predictive modeling.- Familiarity with cloud platforms for deploying machine learning models. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- 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 : Microsoft Power Business Intelligence (BI) 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. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while fostering a collaborative environment that encourages innovation and efficiency. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI).- Strong analytical skills to interpret data and provide actionable insights.- Experience with data modeling and report creation in Power BI.- Ability to design and implement dashboards that effectively communicate key metrics.- Familiarity with data integration techniques and ETL processes. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Power Business Intelligence (BI).- This position is based in Mumbai.- 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 : Tableau 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. Your typical day will involve collaborating with various teams to ensure project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application functionalities with business objectives, ensuring that the solutions provided are effective and efficient. Your role will require you to be proactive in identifying areas for improvement and implementing best practices to enhance application performance and user experience. Roles & Responsibilities:- The demand has been created for internal locking, not for external hiring.- 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.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and ensure timely delivery of application features.- Design, develop, and maintain advanced Tableau dashboards and reports based on business requirements.- Collaborate with business analysts, data engineers, and stakeholders to gather requirements and define key performance indicators (KPIs).- Ensure data accuracy and consistency by implementing robust data validation and QA processes.- Optimize dashboard performance and troubleshoot data or performance issues.- Integrate Tableau with different data sources such as SQL Server, Excel, Snowflake, or cloud-based databases.- Develop and document technical design specifications and business rules.- Support ad-hoc reporting and visualization requests from various business units.- Provide training and guidance to junior Tableau developers and end users.- Stay up to date with new Tableau features and best practices to continually improve the BI environment. Professional & Technical Skills: - The candidate should have minimum 5 years of experience in Tableau.- Strong analytical skills to interpret data and provide actionable insights.- Experience with data visualization best practices to create effective dashboards.- Familiarity with SQL for data extraction and manipulation.- Ability to work collaboratively in a team environment and communicate effectively.Strong analytical and problem-solving skills.- Excellent communication and interpersonal abilities.- Ability to work independently and in a collaborative, fast-paced team environment.- Detail-oriented with a commitment to delivering high-quality, accurate, and user-friendly dashboards.- Strong organizational skills and ability to manage multiple projects simultaneously.- Proactive in identifying opportunities for automation and process improvement.- 6+ years of professional experience with Tableau Desktop and Tableau Server.- Proficient in creating interactive dashboards, visualizations, and complex calculations using LOD expressions, parameters, sets, and filters.- Strong SQL skills with experience querying and managing large datasets.- Experience with data blending, data modeling, and creating extracts from multiple data sources.- Knowledge of Tableau Prep or other ETL tools is a plus.- Experience integrating Tableau with cloud platforms like AWS, Azure, or Google Cloud is preferred.- Familiarity with scripting languages (Python, R) for advanced analytics is an advantage.- Exposure to Agile/Scrum development methodologies. Additional Information:- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Engineering Services Practitioner Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management. Must have skills : Aircraft Systems Good to have skills : Aircraft Design, Airbus Configuration ToolsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled and detail-oriented Design Engineer to support the structural repair design of aircraft wing components. The role involves evaluating in-service damage, developing repair schemes, supporting fleet issues, and ensuring compliance with airworthiness requirements. The ideal candidate will have a strong background in aircraft structural design, repair practices, and regulatory standards. Roles & Responsibilities:Evaluate structural damage on aircraft wings and provide suitable repair solutions in compliance with OEM standards and airworthiness requirements.Design and validate structural repairs using Airbus Methodology and approved engineering tools.Develop repair drawings, technical schemes, and engineering reports.Coordinate with team members and OEM for repair approvals and clarifications.Support fleet engineering by investigating damage trends and recommending design or operational improvements.Contribute to continuous improvement initiatives in repair development and engineering processes.Ensure timely delivery of engineering documentation with accuracy and compliance to internal and regulatory requirements.Participate in technical reviews, risk assessments, and design validation activities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Aircraft Systems.- Strong understanding of statistical analysis and machine learning algorithms.- Solid grasp of data munging techniques. Additional Information:- The candidate should have a minimum of 28 years of experience in aircraft structures design or repair, preferably with a focus on wings.- 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 Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : HanaMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions, and ensuring that applications function seamlessly within the existing infrastructure. You will engage in problem-solving activities, contribute to key decisions, and manage the development process to deliver high-quality applications that align with business objectives. 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 assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of database design and optimization techniques.- Experience with application development frameworks and methodologies.- Familiarity with version control systems and collaborative development tools.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Job Description You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. ResponsibilitiesBuild and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impactsCollaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needs QualificationsFluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needs. Qualifications - Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

1. Job Purpose The Senior Data Analytics Analyst will play a key role in delivering hands-on analytics solutions across the UK and Ireland. This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems 2. Accountabilities & Activities • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. • Perform advanced data analysis and visualisation to support business decision-making. • Develop and maintain data pipelines and queries using SQL and Python. • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights. • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows. • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value. • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner. • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making. • Document data science workflows and maintain reproducibility of experiments and models. • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. 3. Qualifications, Knowledge & Experience • Professional Certifications (preferred or in progress): - Microsoft Certified: Power BI Data Analyst Associate (PL-300) - SnowPro Core Certification (Snowflake) - Microsoft Certified: Azure Data Engineer Associate - AWS Certified: Data Analytics Specialty • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R. • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue. • Hands-on experience in building and deploying machine learning models. • Ability to translate complex data into actionable insights. • Excellent problem-solving and communication skills. 4. Judgement Skills Balances team development with delivery priorities and business needs. Makes informed decisions on technical design, resource allocation, and delivery timelines. Evaluates project outcomes and identifies opportunities for team and process improvement. Encourages experimentation while maintaining delivery discipline and governance. 5. Freedom Of Action Acts as a key liaison between technical teams and business stakeholders. 6. Dimensions Financial: Supports budgeting and cost optimisation for analytics projects. Contributes to revenue growth through data-driven client solutions. Non-Financial: Drives adoption of modern analytics tools and practices. Builds strong relationships across business units and with external clients. 7. Environment Build strong relationships and influence key decision makers. Able to work under pressure and adapt to chang

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. ResponsibilitiesBuild and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impactsCollaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needsQualificationsFluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies.ResponsibilitiesBuild and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impactsCollaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needsQualificationsFluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

Job Description You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability Monitor and update credit policy to optimize for company risk, profitability, and growth targets Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needs Qualifications Fluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industry Enthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impactsCollaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needs Qualifications Fluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies.ResponsibilitiesBuild and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impactsCollaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needsQualificationsFluency in SQL and R/PythonPrevious experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies.ResponsibilitiesBuild and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impactsCollaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysisSupport the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

Experience : 3 to 5 years Job Type: Hybrid Location: Hyderabad About the Role: We are seeking a highly skilled and motivated Machine Learning Specialist with a strong background in data science and a deep understanding of clinical supply chain/Supply Chain operations . This role will be instrumental in developing predictive models, optimizing logistics, and driving data-driven decision-making across our clinical trial supply chain. Key Responsibilities: Design, develop, and deploy machine learning models to forecast clinical supply needs, optimize inventory, and reduce waste. Collaborate with clinical operations, supply chain, and IT teams to identify data sources and integrate ML solutions into existing workflows. Analyze large datasets from clinical trials, logistics systems, and external sources to uncover trends and actionable insights. Develop tools and dashboards to support real-time decision-making and scenario planning. Ensure model performance, scalability, and compliance with regulatory standards (e.g., GxP, 21 CFR Part 11). Stay current with advancements in ML/AI and apply best practices to clinical supply chain challenges. Qualifications: Masters or PhD in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in machine learning, data science, or AI, preferably in a healthcare or life sciences setting. Hands-on experience with clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning. Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Strong understanding of statistical modeling, time series forecasting, and optimization techniques. Excellent communication skills and ability to work cross-functionally in a fast-paced environment. Preferred: Experience with clinical trial data (e.g., EDC, CTMS, IRT). Familiarity with regulatory requirements in clinical research. Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.

Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability Must have experience in prompt engineering, RAG & GenAI. Should have experience in Python or R Should have experience in Data science on GCP.

Apply Now : sowmya.v@acesoftlabs.com Were Hiring: Data Scientist (6-9 Years) | Azure | Machine Learning | Python Location : Bangalore Experience : 6 to 9 Years Primary Skill : Data Science & Machine Learning Key Responsibilities : Collect, clean, and preprocess large datasets from diverse sources. Design and deploy robust machine learning models to enhance operational efficiency. Perform exploratory data analysis (EDA) to uncover trends and patterns. Leverage Azure Machine Learning , Azure Databricks , and Azure AI Foundry to develop, train, and deploy predictive models. Collaborate closely with data engineers, software developers, and business teams to integrate models into production. Communicate insights clearly using data visualizations, reports, and presentations. Must-Have Skills : Strong hands-on experience in Python or R for machine learning and data analysis. Proficiency in Azure services : Azure Machine Learning, Logic Apps, Data Factory, Databricks, AI Foundry. Solid foundation in statistical analysis , predictive modeling , and data mining techniques. Excellent communication and collaboration skills. What Were Looking For: Proven track record with a portfolio of impactful data science projects. Ability to handle large, complex datasets and derive business value. Strong problem-solving mindset and adaptability. If you're a data-driven problem solver who thrives on building ML solutions in the Azure ecosystem, wed love to hear from you! Apply Now and be part of our data transformation journey.

The ideal candidate for the Research Assistant/Associate/Senior Research Scientist/Post-Doctoral Fellows (Data-Driven Sciences) position in Kollam, Kerala should possess a Bachelor's/Master's/Ph.D. degree in Computer Science, Artificial Intelligence, or Electrical and Computer Engineering. Additionally, the candidate should have strong programming skills in Python and R, proficiency in machine learning and deep learning techniques, along with excellent analytical and problem-solving abilities. Effective communication and teamwork skills are also essential for this role. Key Responsibilities: - Data Analysis and Processing: - Clean, preprocess, and explore large and complex datasets. - Employ advanced data mining techniques to extract meaningful insights. - Develop data pipelines for efficient data ingestion and transformation. - Model Development and Evaluation: - Design, implement, and evaluate machine learning and deep learning models. - Optimize model performance through hyperparameter tuning and feature engineering. - Assess model accuracy, precision, recall, and other relevant metrics. - Research Collaboration: - Collaborate with researchers to identify research questions and formulate hypotheses. - Contribute to the development of research papers and technical reports. - Present research findings at conferences and workshops. - Tool Proficiency: - Utilize data science tools and libraries such as Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), R, SQL, LLM, and cloud platforms (AWS, GCP, Azure). - Stay up-to-date with the latest advancements in data science and machine learning. This position falls under the Research category and the deadline for applications is July 31, 2025.,

As an Associate Economics Analyst at Mastercard Economics Institute (MEI) in North America (NAM), you will play a crucial role in supporting the lab's mission of driving economic thought leadership to foster a more inclusive and sustainable digital economy. Established in 2020, MEI focuses on analyzing economic trends from a consumer perspective to provide customized insights on economic issues for customers, partners, and policymakers. The team, comprising economists and data scientists, leverages anonymized and aggregated data from the Mastercard network along with public data to deliver impactful insights through various channels such as presentations, global leadership, media engagement, and commercial projects using the company's product offerings. Your responsibilities will include collaborating with stakeholders across NAM, engaging with external clients, academic institutions, and industry partners, and conducting economic research and data analytics for the European region under the guidance of the Vice President, Lead Economist, NAM. You will be involved in hypothesis development at the intersection of economics and retail, creating proprietary diagnostic indices from large datasets, and deriving actionable insights to enhance existing products and develop new solutions. Additionally, you will contribute to thought leadership activities by sharing knowledge, best practices, and supporting new solution development in the realm of economic research related to retail and commerce. To excel in this role, you should hold a Bachelor's degree in Economics (preferred), Statistics, or Mathematics, with proficiency in SQL and data visualizations. Critical thinking, problem-solving skills, and a strong willingness to learn are essential qualities. Expertise in programming languages like R, Python, or similar, along with experience in data visualization tools such as Tableau or Power BI, will be beneficial. Familiarity with JavaScript for visualization and proficiency in key econometric and statistical techniques will be advantageous for this position. Moreover, as a member of the Mastercard team, it is imperative that you adhere to the organization's security policies, maintain the confidentiality and integrity of accessed information, report any security breaches, and undergo mandatory security training periodically to uphold information security standards. If you are passionate about economics, data analytics, and contributing to a more sustainable digital economy, this role offers a unique opportunity to make a meaningful impact by leveraging your skills and expertise at MEI in North America (NAM).,

Join this dynamic Quant profile to contribute to the Global Markets Planning & Analysis Group, with teams located in New York, London, and Mumbai, while being stationed at Corporate and Investment Banking Research & Analytics in Mumbai. As an Associate within the Modeling Center of Excellence team, you will be working in a team of roughly 25 individuals and be responsible for the design, engineering, industrialization and support of the Quantitative Framework for the CCAR/ICAAP regulatory process, while also exploring opportunities to further leverage it into other activities such as the planning and forecast processes, ad hoc analysis for senior management and other strategic initiatives to support the businesses. The team is based out of L&T office of J.P. Morgan in Powai, Mumbai. You will need to work closely with stakeholders in London and New York, partnering and supporting them just as a direct extension of the team sitting out of Mumbai. You will also be able to interact with JPMorgans Quantitative Research team in Mumbai and benefit from their experience. Job Responsibilities: - Perform in-depth data analysis, using statistical and machine learning modeling techniques (regression, decision tree, ECM, neural networks, regime switching, etc.), to creatively build predictive or explanatory models - Devise/improve models on new/existing regression models. This includes coding the entire statistical methodology in R, Python - Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner - Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury. - Develop metrics and statistical model prototypes that can be used to drive business decisions. - Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives - Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools Required Qualifications, Skills and Capabilities: - Experience of working on Python/R statistical, analytical and machine learning libraries. - Experience of working on probability theory, statistics and machine learning. - Close attention to detail and ability to work to very high standards - Strong quantitative and analytical skills - Strong communication skills (both written and verbal) and ability to present findings to a non-technical audience - Candidates for these positions should be graduates/post-graduates with good academic records from esteemed universities with some exposure to finance/actuaries/accounting and/or derivatives. - Strong knowledge of Equities, FX, Rates, Fixed Income or Commodities,

ANSH InfoTech is a Ludhiana-based IT solutions provider specializing in data science, artificial intelligence, and cybersecurity. We empower businesses with custom web and mobile app development, digital marketing, and cloud computing solutions. Additionally, we offer comprehensive training programs to ensure that professionals stay ahead in the fast-evolving tech landscape. As an AI/ML Corporate Trainer at ANSH InfoTech, you will be responsible for designing, developing, and delivering training programs on artificial intelligence and machine learning topics. Your daily tasks will include creating instructional materials, conducting interactive training sessions, assessing trainee performance, and staying updated with the latest advancements in AI and ML technologies. In addition, you will provide mentorship and support to trainees to ensure their successful learning outcomes. To excel in this role, you should possess excellent knowledge of AI and Machine Learning technologies and frameworks. Strong instructional design and curriculum development skills are essential, along with experience in conducting training sessions and workshops. Excellent communication and presentation skills are crucial, as well as the ability to assess trainee performance and provide constructive feedback. Experience with data science, programming languages (e.g., Python, R), and software development will be beneficial. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. Previous experience in corporate training or education would be considered a plus. If you are passionate about sharing your expertise in AI and ML with aspiring professionals and have a knack for delivering engaging training sessions, we invite you to join our team at ANSH InfoTech.,

As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. Your responsibilities will include staying updated with the latest developments in Deep Learning and AI research, implementing and fine-tuning advanced models in deep learning, collaborating with cross-functional teams to develop and deploy machine learning models in production, contributing to research projects advancing AI and machine learning, and integrating engineering principles into data science workflows. You will be expected to have a Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, along with 4-7 years of Data Science experience. Proficiency in generative AI, deep learning, statistical techniques, and programming languages such as Java/Python/R is required. Additionally, you should have knowledge of big data/advanced analytics concepts and algorithms, excellent oral and written communication skills, strong attention to detail, critical thinking, problem-solving skills, motivation, work ethic, and maturity. Exposure to Generative AI is a plus. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company is committed to providing employees with a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Travel may be required based on the business needs of your project and client, providing opportunities for professional growth and diverse experiences. ZS is focused on building a diverse and inclusive company where individuals from all backgrounds can bring their passions to inspire life-changing impact. The company encourages candidates to apply even if they do not meet all the requirements listed. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates interested in applying must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. More information can be found at www.zs.com.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

You will work closely with teams across the company to understand their data requirements and develop solutions that enable data-backed decision-making. This will involve building, maintaining, and enhancing self-serve data products such as dashboards and tables to expedite insights and track product group KPIs. You will need to identify key metrics through rigorous exploratory data analysis, facilitating decision-making and business prioritization for senior-level stakeholders. Your role will also involve communicating findings effectively through well-documented analyses and visualizations. Additionally, you will be responsible for designing, executing, and evaluating experiments to test business hypotheses. As part of your responsibilities, you will manage a team of 2-5 data analysts, providing coaching, support, and setting them up for success. To be successful in this role, you should hold a Bachelor's Degree in Science, Engineering, IT, or Mathematics from a top-tier college. You should have at least 7 years of professional experience in data analytics and business intelligence, along with a minimum of 2 years of people management experience. A strong understanding of database designs and ETL principles is essential for this role. Hands-on experience with SQL, Python/R, and analytics tools like Power BI, Tableau, and Google Analytics is required for building dashboards and performance scorecards. You should possess the ability to comprehend business problems within an Omni Channel Retail context and utilize data to address them effectively. Strong stakeholder management skills are crucial, enabling you to manage expectations and negotiate assertively. Excellent communication, teamwork, and problem-solving skills are highly valued. Basic knowledge of machine learning techniques such as Regression and Classification is an added advantage for this role.,