539 Logistic Regression Jobs - Page 7

Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science

We are looking for an experienced AI & Generative AI Developer who can work across the AI spectrum from classical machine learning models to cutting-edge Generative AI applications. The role demands strong experience in building ML models using regression, classification, and tree-based algorithms, along with hands-on exposure to LLMs and generative frameworks like GPT, Stable Diffusion, and LangChain. Key Responsibilities Classical AI/ML Design and implement supervised and unsupervised ML models including: Linear Regression, Logistic Regression Decision Trees, Random Forest, XGBoost Naive Bayes, K-Means, SVM, PCA, etc. Preprocess and analyse structured/tabular datasets Evaluate models using metrics like accuracy, precision, recall, ROC-AUC, and RMSE Build predictive models , deploy them into production, and monitor performance Collaborate with business teams to translate requirements into ML use cases Generative AI (GenAI) Build and fine-tune LLMs (e.g., GPT, LLaMA, PaLM) for summarisation, Q&A, document generation, etc. Implement prompt engineering , RAG pipelines , and vector database integrations Use libraries like Hugging Face Transformers, LangChain, and LlamaIndex Develop APIs to expose GenAI models in real-time apps Optimise model inference using quantisation, batching, etc. Ensure safe, explainable, and bias-free output in alignment with AI ethics guidelines Required Skills & Qualifications Bachelor s or Master s in Computer Science, Data Science, Statistics, or related field Strong programming skills in Python , with experience in NumPy, Pandas, Scikit-learn Proficiency in classical ML algorithms (regression, trees, naive Bayes, etc.) Experience with LLM frameworks like OpenAI API, Hugging Face, and LangChain Understanding of transformer architecture , NLP, embeddings, and tokenisation Familiarity with REST API development using FastAPI/Flask Exposure to cloud platforms (AWS/GCP/Azure) and Docker/Kubernetes Preferred / Nice to Have Experience with deep learning (TensorFlow, PyTorch) Exposure to image/audio/video generation using models like DALL E, Stable Diffusion, Whisper Familiarity with RAG , LLMOps , and vector stores (FAISS, Pinecone, Weaviate) Knowledge of MLOps pipelines , model monitoring , and CI/CD for ML

Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience 3+ years of experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: oDeep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL oBig Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning oClassical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil oDeep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTM s GRU s is a plus. Optimization techniques Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing oDeep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: oConfluence (Documentation) oBitbucket/Stash (Code Sharing) oShared Folders (File Sharing) oALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organizations effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as we'll as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required

Design, implement, and evaluate macroeconomic forecasting models, time series regressions, and machine learning models (including basic neural nets like RNN, LSTM architecture). Apply and explain statistical concepts like regression, correlation, multicollinearity, stationarity, autocorrelation, and model assumptions to non-technical teams. Work with time series, panel, and structured tabular data and perform feature engineering, data cleaning, and model validation. Work with SQL to extract and manipulate data, perform preprocessing and feature engineering, tune models. Work closely with business stakeholders, domain experts, and data engineers to define problems and deliver insights. Present insights and model performance clearly to technical and non-technical stakeholders Optionally, experiment with deep learning or generative AI models for internal R&D use cases Required Experience: 7-8 years experience in Statistics, Machine Learning, Time Series modeling, and Python Desired Skills: Bachelor s or Master s in Statistics, Economics, Data Science, Computer Science, or a related field. Strong command over Python (pandas, NumPy, scikit-learn, statsmodels) and SQL for data analysis, modeling, and manipulation. Experience with real-world tabular datasets and business problem-solving Strong applied knowledge of: Supervised learning (linear/logistic regression, decision trees, ensemble models) Unsupervised learning (K-means, DBSCAN, hierarchical clustering) Evaluation metrics, cross-validation, feature importance Solid grounding in Statistics Probability distributions, statistical inference, hypothesis testing Time Series modeling Comfortable working with small datasets where feature engineering and domain understanding matter most. Ability to explain complex concepts in simple terms and work effectively with both technical and non-technical stakeholders. Nice to have skills: Deep learning experience (e.g., PyTorch, TensorFlow) Familiarity with version control (Git), dockers and AWS. Exposure to GenAI concepts or LLM APIs (OpenAI, HuggingFace, LangChain)

Genpact is a global professional services and solutions firm with over 125,000 employees in 30+ countries. Driven by curiosity, entrepreneurial agility, and the desire to create value for clients, we serve leading enterprises worldwide with deep business knowledge, digital operations services, and expertise in data, technology, and AI. Our purpose is the relentless pursuit of a world that works better for people. We are currently seeking a Business Analyst - Data Scientist to join our team. In this role, you will be responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and working collaboratively with cross-functional teams to deliver AI solutions. Responsibilities: Model Development: - Proficiency in various statistical, ML, and ensemble algorithms - Strong understanding of Time series algorithms and forecasting use cases - Ability to evaluate model strengths and weaknesses for different problems Data Analysis: - Extracting meaningful insights from structured data - Preprocessing data for ML/AI applications Collaboration: - Working closely with data scientists, engineers, and business stakeholders - Providing technical guidance and mentorship to team members Integration and Deployment: - Integrating ML models into production systems - Implementing CI/CD pipelines for continuous integration and deployment Documentation and Training: - Documenting processes, models, and results - Providing training and support on NLP techniques and tools to stakeholders Qualifications: Minimum Qualifications / Skills: - Bachelor's degree in computer science, Engineering, or a related field - Strong programming skills in Python and R - Experience with DS frameworks (SKLEARN, NUMPY) - Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch) - Strong problem-solving and analytical skills - Excellent communication and collaboration abilities Preferred Qualifications / Skills: - Experience in Predictive Analytics and Machine Learning techniques - Proficiency in Python/R/Any other open-source programming language - Knowledge of visualization tools such as Tableau, Power BI, Qlikview, etc. - Applied statistics skills - Experience with big data technologies (Hadoop, Spark) - Knowledge of cloud platforms (AWS, Azure, GCP) If you are passionate about leveraging your skills in data science and analytics to drive innovation and value creation, we encourage you to apply for this exciting opportunity at Genpact.,

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? - Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. - Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frameworks. - Complex statistical concepts are explained in a way that clients can understand and advice on strategy. - Overall data analytics strategy and business development. - Responsible for providing thought leadership and support to the team to develop best in class analytics solutions for clients. - Responsible for managing existing relationships with multiple clients in various industries. - Responsible for working closely with the senior management in developing and implementing strategic plans. Team Development: - Manage a team of data Scientists. Lead team members, including personal development and set work direction. - Lead team members, including personal development and set work direction. - Group development by building expertise in new domains and processes. - Coaching and mentoring team members. - Responsible for productivity, utilization and quality of output of the group. - Development of training modules and imparting training to the group. Project Delivery: - Lead analytics engagements and responsible for delivering the analytics solutions required across multiple clients & projects. - Provide thought leadership in a number of areas, including predictive modeling, customer segmentation, reporting & analysis, data processing and cleansing. - Demonstrate strong functional expertise by providing content leadership on projects. - Hands-on experience in implementing machine-learning algorithms. - Improve existing delivery processes and lead automation where applicable. What are we looking for? - Bachelor's in Computer Science/ Engineering, Statistics, Math or any other relevant degree. - 5-9 years of total experience with at least 3+ yrs. of relevant experience in data science/technical experience. - Experience on multiple modeling techniques -Logistic Regression, Linear Regression, Random Forest, Boosting, Neural Networks etc. - Hands-on experience with Python and SQL is a must. - Experience with data visualization tools like Tableau or Power BI. - Team and client management experience. - Experience of stakeholder management - Experience in working with unstructured data and text analytics. - Must have a passion for data, structured and unstructured. - Should have sound experience in data mining and data analysis. Good presentation skills. -Track record of managing data project delivery including ability to meet deadlines, overcome challenges, manage stakeholder expectations, and produce clear deliverables -Strong problem-solving skills with a keen attention to detail. Ability to think critically and provide data-backed insights. - Excellent communication skills, both verbal and written. -Understanding of Cloud Platforms (e.g. Azure / AWS/GCP) and ability to use them for developing, training and testing deep learning models ( good to have) -Familiarity with cloud-based data warehousing platforms (snowflake) ( good to have)

As an Equifax Model Performance Monitoring Analytics Consultant you will play a pivotal role in the Model Governance function within Data and Analytics (D&A). You will deliver and manage Model Governance projects, including complex modelling monitoring and supporting ongoing validation assignments. You will provide consultancy and have engagement with key stakeholders such as Core and Client Analytics, Product, Compliance and Data Privacy. As a Model Performance Monitoring Analytics Consultant you will have expert knowledge of the way scorecards and models are built, having worked on a number of developments across several verticals. Your Model performance monitoring outputs will be presented and reviewed at the Equifax Analytics Governance body the Analytics Council. As an Equifax Model Performance Monitoring Analytics Consultant you will : Develop and implement monitoring systems for statistical models using proven experience in statistical model development and in-depth analytical and modeling expertise, leveraging CRA data assets. Manage all stages of Model Performance Monitoring projects, including design, development, and execution, to meet quality standards and project timelines. This encompasses all model types, such as logistic regression and Machine Learning techniques. Support the Equifax business with technical model monitoring and validation expertise and consultancy, leading to constructive and effective working relationships with other departments and business units including model owners, model developers, platform owners, marketing, technology, compliance, legal and business owners. Lead the implementation of on-going step improvements in Equifax model performance monitoring software and processes / procedures. Communicate analytical Model performance results to cross functional stakeholders and senior Analytics leaders. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making. Understand of the regulatory landscape with respect to CRA Model Performance Monitoring and the potential impact to our clients What you ll do Works in Data and Analytics to independently design projects to meet business needs Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Solve complex internal or customer analytical problems across various business domains and areas of expertise Ability to talk to impact and strategic importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action; ability to advocate to implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the "so what out of the analysis being performed. Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals What experience you need BS degree in a STEM major or equivalent discipline 5-7 years of experience in a related analyst role Cloud certification strongly preferred Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities Model development experience in the Retail banking sector or Credit Reference Agencies strongly preferred What could set you apart Experience in a credit risk / model development environment developing statistical models, with hands on detailed analytic & modelling expertise, ideally leveraging CRA data assets Experience in scorecard monitoring Experience in the use of credit bureau data Experience in programming languages SAS, SQL and Python in a credit risk environment Strong written and verbal communication and consulting skills, with the ability and confidence to present to business partners and senior management Proficiency with Google suite or MS Office (docs/Word, sheets/Excel, slides/PowerPoint) Experience with model risk management and/or compliance Expertise in scorecard validations within a given industry sector Previous analytical consultancy in a big data environment Exposure to machine learning techniques Experience with data visualization tools. Cloud experience using GCP or Amazon AWS Primary Location: IND-Pune-Equifax Analytics-PEC IND-Pune-Equifax Analytics-PEC-Remote Function: Function - Data and Analytics Schedule: Full time

You will be joining a leading Manufacturing company in Bengaluru (Bellandur Area) for a Full-Time role as a Data Scientist. As a member of the team, you will be responsible for various Data Science projects including Demand Forecasting, GenAI, Cross Sell, Churn Analytics, and Visual Analytics. Your main responsibilities will revolve around Data Analysis and Modeling, where you will work on collecting, cleaning, and preprocessing large datasets from manufacturing systems and sensors. You will develop and implement advanced statistical models and machine learning algorithms to analyze the data, identify patterns, trends, and anomalies to drive process improvements and predict failures. Another key aspect of your role will involve Process Optimization, where you will analyze and optimize manufacturing processes to increase efficiency, reduce waste, and enhance product quality. You will also be required to conduct root cause analysis for production issues and collaborate with engineering and production teams to implement data-driven solutions. In addition, you will be responsible for Reporting and Visualization by creating and maintaining dashboards and reports to convey key metrics and insights to stakeholders. Your ability to visualize complex data sets in a clear and concise manner will be crucial for decision-making purposes. Furthermore, you will engage in Cross-functional Collaboration by working closely with teams across engineering, production, quality assurance, and IT. Your role will involve translating business requirements into data-driven solutions and presenting your findings to stakeholders. To excel in this role, you should hold a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with a preference for a Master's or PhD. You should have at least 3 years of experience in data science, analytics, or a related field, particularly in a manufacturing environment. Strong proficiency in statistical modeling, machine learning, and data mining techniques is essential. Additionally, experience working on Cross Sales projects using Random Forest, Logistic Regression, SVM, Clustering, and other methods is preferred. Proficiency in programming languages such as Python, R, or Java will be advantageous for this position.,

As part of the Data Science team in Colruyt, youwill have an opportunity to work with culturally diversified group ofindividuals, ensure business take strategic decisions by providing right datainsights. We are looking for an individual with Passion, Innovation, out of the box thinking to join our team . Build a portfolio of data opportunities for specific business partners based on your knowledge of the data and the business. Support business partners in translating their needs into specific research questions that can be addressed in a data science project. Apply techniques of data preparation, quality control, completeness, distribution, consistency, outliers, data, or variable transformation. Apply mathematical , statistical , and modeling techniques in a suitable environment. Use statistical analysis to support strategic decision-making . Support partners in the correct interpretation and application of analysis results. Training Business partners interpret analysis results independently or translating analysis results into the right actions. Collaborate closely with Data Science Engineers to support the entire data pipeline process. Evaluate the long-term validity of the analytical solution. Follow up on developments in the field of statistical analysis, mathematical modeling, optimization, and integrate these into practice. Requirements Should have 12+ years of working experience in Data-related projects. At least 7+ years of relevant experience as a Data Scientist. In-depth knowledge of statistical methods for data analysis, interpretation , and application of these techniques to solve a business problem. Experience in applying a variety of analytical algorithms , including but not limited to linear and logistic regression, Bayesian analysis, decision trees, random forest, boosting techniques, forecasting, time series, clustering, neural networks, and others. Proficiency in Python is expected to perform Data Science activities. Strong analytical and problem-solving skills . Ability to work in a team-oriented, collaborative environment . Excellent communication and interpersonal skills Experiencein text mining, NLP, understanding of image processing. Bachelors or masters degree in a relevant field such as Statistics, AI / ML / NLP is an added value.

About The Role Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : PySpark Good to have skills : Python (Programming Language)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects.- Ensure cohesive integration between systems and data models.- Implement data platform components effectively.- Provide insights for enhancing data platform performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in PySpark.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Natural Language Processing (NLP) 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. 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 Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with data analysis and visualization tools.- Ability to communicate complex technical concepts to non-technical stakeholders.- Familiarity with programming languages such as Python or R. Additional Information:- The candidate should have minimum 15 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Oracle Database Administration (DBA) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will engage in the ongoing technical support and maintenance of production and development systems and software products. Your typical day will involve addressing various technical issues, providing solutions, and ensuring the smooth operation of configured services across multiple platforms. You will work both remotely and onsite, collaborating with team members to troubleshoot and resolve hardware and software challenges while adhering to established operating models and processes. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of technical processes and procedures to enhance team knowledge.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Database Administration (DBA).- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for Oracle databases.- Familiarity with performance tuning and troubleshooting of database systems.- Knowledge of SQL and PL/SQL for database querying and scripting. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Database Administration (DBA).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : HR Process Design Good to have skills : HR AnalyticsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Tech Delivery Subject Matter Expert, you will engage in a dynamic and collaborative environment where you will drive innovative practices into delivery. Your typical day will involve working closely with clients to understand their needs, analyzing requirements, and implementing technology best practices. You will leverage your expertise to enhance the reputation of the organization in the marketplace while shaping strategies that bring emerging ideas to life. Your role will require you to communicate effectively and build trusted relationships with clients, ensuring that their objectives are met through tailored solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops and meetings to gather requirements and present findings.- Develop and document best practice processes to enhance operational efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in HR Process Design.- Good To Have Skills: Experience with HR Analytics.- Strong understanding of process mapping and optimization techniques.- Ability to analyze and interpret data to inform decision-making.- Excellent communication and interpersonal skills to foster collaboration. Additional Information:- The candidate should have minimum 2 years of experience in HR Process Design.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. 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- Design and develop applications- Collaborate with cross-functional teams- Contribute to key decisions Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role 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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 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, all while fostering an environment of innovation and continuous improvement. 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 and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing techniques and text analytics.- Familiarity with programming languages such as Python or R for data analysis.- Ability to communicate complex technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Automation Anywhere Good to have skills : NAMinimum 3 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 stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also be responsible for troubleshooting issues and providing guidance to team members, fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to help them grow in their roles. Professional & Technical Skills: - Must To Have Skills: Proficiency in Automation Anywhere.- Strong understanding of process automation and optimization techniques.- Experience with application design and development methodologies.- Ability to troubleshoot and resolve application-related issues effectively.- Familiarity with integration of applications with existing systems. Additional Information:- The candidate should have minimum 3 years of experience in Automation Anywhere.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Oracle Database Administration (DBA) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will serve as a vital link between clients and the systems or applications they utilize. Your day will involve engaging with clients to understand their needs, troubleshooting issues, and ensuring that our high-quality systems operate seamlessly. You will leverage your exceptional communication skills to provide clarity and support, while also utilizing your in-depth product knowledge to design effective resolutions for client challenges. Your role is essential in maintaining the integrity and performance of our applications, ensuring client satisfaction and operational excellence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Database Administration (DBA).- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for Oracle databases.- Familiarity with performance tuning and troubleshooting of database systems.- Knowledge of SQL and PL/SQL for effective database querying and manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Database Administration (DBA).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. 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 alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with programming languages such as Python or R for model development.- Ability to work with data visualization tools to present findings effectively. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : ServiceNow Governance, Risk, and Compliance (GRC) Good to have skills : ServiceNow IT Service ManagementMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for ensuring the successful delivery of projects and collaborating with cross-functional teams to achieve project goals. Your creativity and expertise will contribute to the development of innovative solutions and drive the success of our applications. 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.- Lead the effort to design, build, and configure applications.- Act as the primary point of contact for project-related activities.- Ensure the successful delivery of projects.- Collaborate with cross-functional teams to achieve project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow Governance, Risk, and Compliance (GRC).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in ServiceNow Governance, Risk, and Compliance (GRC).- This position is based in Mumbai with location flex for cross location resource.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 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 that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. 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 SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Familiarity with Agile methodologies and project management tools.- Experience in integrating SAP applications with other enterprise systems. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Design, develop, and optimize WiFi solutions with a focus on WiFi 6 features and enhancements. Conduct in-depth tuning and optimization of RF parameters to ensure peak performance and reliability. Work on advanced networking protocols and configurations to support seamless connectivity. Collaborate with cross-functional teams to integrate WiFi features into larger systems. Analyze and resolve complex WiFi performance issues, including RF interference, coverage gaps, and capacity challenges. Contribute to the development of test frameworks and tools for WiFi validation. Required Skills and Experience: Proven expertise in WiFi technologies, including detailed knowledge of WiFi 6 (802.11ax) feature sets such as OFDMA, MU-MIMO, TWT, and BSS Coloring. Strong understanding of RF principles, parameter tuning, and optimization techniques. Solid experience in Linux-based development, including scripting, driver-level programming, and debugging. Strong background in networking protocols (e.g., TCP/IP, DHCP, DNS, routing, and switching). Familiarity with WiFi standards, certifications, and regulatory compliance. Familiarity with mesh networking and multi-AP coordination. Knowledge of network security protocols such as WPA3. Experience with performance tuning tools (e.g., iperf, Wireshark) and RF analysis tools (e.g., spectrum analyzers).

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Role & responsibilities The Assistant Manager/Deputy Manager Business Analysis is responsible for solving unstructured business problems using advanced analytics, developing data-driven strategies to improve profitability and processes in the collections business , and presenting insights to global leadership. The role includes both technical analytics execution and strategic implementation ownership with VP-level stakeholder interaction. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Experience: 26 years in analytics/consulting, with 2+ in financial services. Skills: SQL, Python (Pandas, PySpark), Azure (Must) Excel, PowerPoint. Traits: Strong problem-solving, project management, and communication/storyboarding skills. Education: Bachelor's/Masters with strong and consistent academic record in Engineering or quantitative/statistical background preferred.

What We're Looking For Bachelors degree or final year students can also apply Good analytical and problem solving skills Good knowledge of Python and analytical tools/libraries Responsibilities Apply statistical methods and techniques to analyze data and derive meaningful insights. Conduct hypothesis testing, correlation analysis, and regression analysis using Pythons statistical libraries Create reports, dashboards, and data visualizations using tools like Tableau, Power BI, or Dash. Automate report generation and scheduling using Python scripts. Ensure the accuracy, completeness, and reliability of data through data validation and quality assurance processes. Identify and address data anomalies, errors, and inconsistencies. Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to understand business requirements and deliver actionable insights. Communicate analysis findings and recommendations effectively to technical and non-technical audiences.

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 4 years of experience with physical design flow such as floor planning, place and route, or physical verification. Experience with low-power design techniques, such as power gating, clock gating, or voltage scaling. Preferred qualifications: Experience in using Machine Learning (ML) in physical design. Knowledge of machine learning algorithms from logistic regression to deep neural networks and reinforcement learning. Knowledge of data structures and algorithms. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will contribute to improving Power Performance Area (PPA) using machine learning techniques. You will use the experience of physical design and machine learning to solve technical problems and improve on Power, Performance, Area and Schedule. You will work on design and optimizations, floorplan, place and route, clock and power planning, timing analysis, and Power Delivery Network (PDN) analysis. You will collaborate across Alphabet working with design, CAD and machine learning teams. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Deploy Artificial Intelligence (AI) solutions into chip design, work with internal teams, Google DeepMind and other teams to explore solutions and apply to improve chip design PPA or cycle time.