104 Linear Regression Jobs in Pandharpur

As a Data Scientist, your role will involve designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models such as Random Forest and Boosting using R/Python. You should have a strong grasp of Probability and Statistics, with the ability to apply concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of unforeseen situations like pandemics is essential. Conducting Exploratory Data Analysis (EDA) on raw data and performing feature engineering when necessary will be part of your responsibilities. Key Responsibilities: - Demonstrating proficiency in Data Visualization using the Python/R Data Science Stack - Leveraging cloud platforms for training and deploying large-scale solutions - Training and evaluating ML models using various machine learning and deep learning algorithms - Ensuring model accuracy is maintained during deployment and retraining as needed - Packaging and deploying large-scale models on on-premise systems using multiple approaches including Docker - Taking complete ownership of the assigned project - Working in Agile environments and utilizing project tracking tools like JIRA - Utilizing cloud platforms such as AWS, Azure, and GCP - Handling NoSQL databases like MongoDB, Cassandra, Cosmos DB, and HBase - Experience in forecasting with products like SAP, Oracle, Power BI, Qlik, etc. - Proficiency in Excel including Power Pivot, Power Query, Macros, and Charts - Working with large datasets and distributed computing tools such as Hive, Hadoop, and Spark - Implementing transfer learning with state-of-the-art models in various domains like vision, NLP, and speech - Integrating with external services and Cloud APIs - Using data annotation approaches and tools for text, images, and videos Qualifications Required: - Strong background in Data Science, Statistics, or related fields - Proficiency in programming languages such as R and Python - Experience with machine learning, deep learning, and statistical modeling - Familiarity with cloud platforms, NoSQL databases, and forecasting tools - Ability to work with large datasets and distributed computing frameworks - Excellent problem-solving skills and the ability to work independently - Strong communication and teamwork skills (Note: Additional details about the company were not provided in the job description.),

Role Overview: As an Analyst Fraud Risk at Visa, you will be a part of the VCA Risk Advisory Practice team, contributing to delivering Risk advisory services to clients across Credit Risk and Fraud Risk. Your role will involve collaborating with internal and external teams to understand business problems, ensuring timely delivery of projects, and developing Fraud Risk data-driven solutions. You will play a key role in optimizing Fraud Risk Managed Services and advisory engagements across Asia Pacific. Key Responsibilities: - Contribute to the delivery of Fraud Risk Managed Services and advisory engagements in Asia Pacific - Collaborate with clients to understand business problems and desired outcomes - Ensure end-to-end delivery of multiple projects within timelines, scope, and budget requirements - Maintain up-to-date project documentation and deliver high-quality results - Support the development of Fraud Risk data-driven solutions such as Fraud Risk Prediction/Scoring - Assist in maintaining consistency, standards, and quality control of Fraud Risk consulting methodologies - Participate in expanding and optimizing Fraud Risk Managed Service offerings Qualifications Required: Basic Qualifications: - 3 or more years of work experience with a Bachelor's Degree or an Advanced Degree Preferred Qualifications: - 4 or more years of work experience with a Bachelor's Degree or more than 3 years of work experience with an Advanced Degree - Specific skill set and experience required: - Graduate/Post Graduate degree in a Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred - Hands-on experience with data analytics/programming tools such as SAS/Hadoop/SQL/Python - Proficiency in statistical techniques like Linear and Logistic Regression, Decision Trees, Random Forests, etc. - Experience in the banking/consumer lending industry and domain expertise in Fraud Risk preferred - Demonstrated ability to innovate solutions and present data-driven results effectively - Strong analytical and problem-solving skills, with the ability to handle multiple projects concurrently - Excellent communication, presentation, and collaboration skills Company Information: The company has adopted a COVID-19 vaccination policy, requiring all employees based in the country of the job location to be fully vaccinated unless a reasonable accommodation is approved or as required by law.,

As a Manager - AI/GenAI at EY, you will have the opportunity to work in a multi-disciplinary technology team focusing on Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your role will involve developing and delivering industry-specific solutions for various sectors such as Financial services, Consumer products & Retail, Healthcare & wellness, Manufacturing, Supply chain, Telecom, Real Estate, etc., which will be utilized to implement EY SaT mergers and acquisition methodologies. **Key Responsibilities:** - Develop, review, and implement solutions using AI, Machine Learning, Deep Learning, and Python programming. - Lead the development and implementation of Generative AI applications utilizing open source and closed source Large Language Models (LLMs). - Work with advanced models like GPT-3.5, GPT 4, Llama, BERT for natural language processing and content generation. - Design and optimize solutions using Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identify opportunities for analytics application, manage projects, ensure service delivery, and communicate effectively with cross-functional teams. **Skills And Attributes For Success:** - Ability to work creatively and systematically in a time-limited, problem-solving environment. - Good interpersonal skills, team player, and able to manage multiple priorities simultaneously. - Experience in AI/Data Science projects, Azure Cloud Framework, and statistical techniques. - Proficiency in Python programming, AI/ML frameworks, and Generative AI workflow management tools. - Strong communication skills, presentation skills, and willingness to mentor team members. **Qualifications Required:** - Experience guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with Azure Cloud Framework and software development life cycle. - 9-14 years of relevant work experience in AI, Machine Learning Models with deployment experience in Azure preferred. - Minimum 4 years of experience in NLG, LLM, DL Techniques and programming in Python. - Expertise in implementing applications using open source and proprietary LLM models. At EY, you will have the chance to work with a team of professionals across the globe, collaborate on exciting projects, and continuously learn and grow in a diverse and inclusive culture. Join us in building a better working world through innovation, technology, and trust.,

Role Overview: As a Lead Data Scientist specializing in Text Analytics & GenAI, you will be responsible for designing and implementing cutting-edge solutions to convert unstructured textual data into actionable insights. Collaborating with different teams and clients, you will be applying NLP, NLU, and Generative AI techniques to address a variety of real-world challenges. Key Responsibilities: - Collaborate with business and technical stakeholders to create data-driven solutions using text and language data. - Develop NLP/NLG/NLU models for semantic understanding, entity recognition, and text summarization. - Experiment with and optimize pre-trained LLMs and embedding models like GPT, Llama 2, Falcon, and Mistral. - Build scalable pipelines for data processing, model training, and deployment. - Utilize machine learning and deep learning methods to extract insights from extensive textual datasets. - Integrate AI models into business processes to generate measurable outcomes. - Stay updated with the latest advancements in Text Analytics, LLMs, and GenAI tools and frameworks. Qualifications Required: - Minimum 4 years of experience working with Python and analytical tools on large datasets. - Proficiency in Semantic Models and Named Entity Recognition (NER). - Hands-on experience in NLP/NLU/NLG using PyTorch, TensorFlow, BERT, LangChain, and OpenCV. - Exposure to GenAI models such as GPT 3.5/4, Llama 2, Mistral, Falcon, and Prompt Engineering. - Familiarity with Azure ML or other cloud-based AI/ML services. - Strong understanding of ML algorithms including Linear/Logistic Regression, Decision Trees, Clustering, Text Mining, Forecasting, and Optimization. - Proficient in programming and data skills with Python, SQL, and ML frameworks like TensorFlow. - Demonstrated capability to engage clients, transform issues into AI solutions, and deliver tangible business results. - High-level comprehension of language semantics and data standardization principles.,

Role Overview: You should have a good understanding of various Generative AI techniques including GANs, VAEs, and other relevant architectures. Your experience in applying these techniques to real-world problems for tasks such as image and text generation will be crucial. Make sure you are conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Exposure to both API-based and open-source LLMs based solution design is expected. Key Responsibilities: - Get to the heart of customer issues, diagnose problem areas, design innovative solutions, and facilitate deployment resulting in client delight as part of the Infosys consulting team. - Develop a proposal by owning parts of the proposal document and giving inputs in solution design based on areas of expertise. - Plan the activities of configuration, configure the product as per the design, conduct conference room pilots, and assist in resolving any queries related to requirements and solution design. - Conduct solution product demonstrations, POC, Proof of Technology workshops, and prepare effort estimates which suit the customer budgetary requirements and are in line with the organization's financial guidelines. - Actively lead small projects and contribute to unit-level and organizational initiatives with the objective of providing high-quality, value-adding solutions to customers. Qualification Required: - An overall understanding of machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks. - Proficiency in data science tools such as NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras. - Familiarity with cloud computing platforms like AWS, Azure, GCP. - Knowledge of natural language processing, NLP Transformer models, attention mechanisms, word embeddings. - Experience in computer vision, convolutional neural networks, recurrent neural networks, object detection. - Exposure to robotics, reinforcement learning, motion planning, control systems. - Understanding of data ethics, bias in machine learning, fairness in algorithms.,

Job Description: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. This role requires strong leadership skills and the ability to collaborate with cross-functional teams to deliver high-quality solutions. Key Responsibilities: - Expected to be an SME, collaborate, and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute to key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Lead the effort to design, build, and configure applications. - Act as the primary point of contact for all application-related matters. - Oversee the entire application development process. - Ensure successful implementation of applications. Qualifications Required: - Must To Have Skills: Proficiency in BlueYonder Enterprise Supply Planning. - Good To Have Skills: Experience with BlueYonder Demand Planning. - 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 12 years of experience in BlueYonder Enterprise Supply Planning. This position is based at our Gurugram office. A Relevant Degree is required.,

As a Senior Specialist in Global Data Science at Colgate-Palmolive, you will play a crucial role in leading projects within the Analytics Continuum by conceptualizing and building machine learning, predictive modeling, simulations, and optimization solutions. Your focus will be on addressing business questions with recommended actions that have a significant impact on the business, allowing for scalability across markets. **Key Responsibilities:** - Conceptualize and build predictive modeling, simulations, and optimization solutions to address business questions or use cases - Apply machine learning and AI algorithms to analytics to develop inferential and predictive models for scalable solutions - Develop end-to-end business solutions from data extraction to statistical modeling, and present findings in an easily interpretable manner - Conduct model validations, continuous improvement, and deployment of models using Airflow and Docker on Google Cloud Platforms - Manage Pricing and Promotion, Marketing Mix projects from scoping to delivery - Study large datasets to identify trends and patterns, mine data using technologies like BigQuery and SQL - Create visualizations using tools like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborate closely with business partners across different geographies **Qualifications Required:** - BE/BTECH in Computer Science or Information Technology, MBA or PGDM in Business Analytics/Data Science, or related fields - Additional certifications or courses in Data Science - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding - Experience with GitHub, Airflow, and visualization frameworks - Strong understanding of Cloud Frameworks like Google Cloud, Snowflake, and services like Kubernetes - Experience in a client-facing role, working in a dynamic environment **Additional Company Details:** Colgate-Palmolive is committed to fostering an inclusive environment where individuals with diverse backgrounds and perspectives can thrive. The company values developing talent with a true sense of belonging and ensuring that every individual can contribute meaningfully to the business. Colgate-Palmolive is an Equal Opportunity Employer offering reasonable accommodation during the application process for persons with disabilities.,

You will be working as an advanced analyst in the India Analytics team at Thoucentric, closely collaborating with the Community Voice team. Your main responsibility will be building analytical solutions using unstructured text data to provide scalable insights and solutions for data-driven decisions. This is a 6-month contract role with a possibility of extension, situated under the Analytics Centre of Excellence within the Global Ops Insights organization. - Build, maintain, and scale ML/LLM models for text classification, sentiment analysis, entity recognition, and other NLP tasks using Python libraries such as NLTK, SpaCy, Hugging Face Transformers, and Gensim. - Utilize SQL and other database tools to query, analyze, and manipulate data stored in multiple relational databases. - Work on unstructured and semi-structured data sources like social media feeds, reviews, surveys, and customer feedback to generate business insights. - Implement advanced analytics techniques for clustering, topic modeling (LDA, LSA), and semantic analysis of textual data. - Develop and maintain dashboards and data visualizations using tools like Tableau, Superset, or Python visualization libraries (Matplotlib, Seaborn, Plotly). - Collaborate closely with cross-functional teams, including data engineers, product managers, and business stakeholders, to translate business requirements into analytical solutions. - Stay up to date with the latest trends and best practices in NLP, AI/LLMs and experiment with newer techniques to shift bias towards efficiency. - Work on improving existing NLP models, pipelines, and workflows, ensuring performance optimization and scalability using feature engineering techniques. Skills & Expertise Required: - 5-8 years of industry experience and an Advanced degree in Business Analytics or other quantitative field (Masters or PhD is a plus). - Proven track record of delivering full stack AI/ML projects from inception to business impact. - Advanced level proficiency in Python, including libraries such as NLTK, spaCy, scikit-learn, numpy, and pandas. - Strong understanding of SQL/NoSQL, programming languages such as Python, R, SAS and Intermediate level knowledge of data foundations and databases like Presto, Hive, Teradata, Spark. - Familiarity with linear regression, logistic regression, SVM, random forest, advanced concepts of NLP, KNN, K-Means, A/B testing, and multivariate testing. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. - Hands-on experience in text classification, sentiment analysis, topic modeling, and named entity recognition (NER), proficiency in building and deploying machine learning models and analyzing unstructured data. - Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn. - Familiarity with Git or other version control systems, deep learning models for NLP tasks, such as transformers (e.g., BERT, GPT). - Possess a positive and solution-oriented mindset, with exceptional problem-solving abilities, self-motivation, and strong organizational and time management skills. - Excellent communication and collaboration skills with the ability to work effectively in a cross-cultural and cross-functional environment. - Ability to conduct exploratory data analysis (EDA) to uncover insights and trends in data and communicate findings to both technical and non-technical audiences. Thoucentric offers a great consulting environment where you have the opportunity to define your career path, work with Fortune 500 companies and startups, and be part of a supportive working environment that encourages personal development. Additionally, you will be part of an extended family with an open culture, flat organization, and excellent peer group, contributing to the exciting growth story of Thoucentric.,

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 managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. - Proficiency in Informatica PowerCenter - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on experience in 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 You are expected to be an SME, collaborating and managing the team to perform efficiently. You will be responsible for team decisions and engage with multiple teams to contribute to key decisions. Providing solutions to problems for your immediate team and across multiple teams will be a key aspect of your role. The candidate should have a minimum of 5 years of experience in Informatica PowerCenter. This position is based at our Bengaluru office, and a 15 years full-time education is required.,

As a Data Scientist at Infosys Consulting, you will be part of a specialized customer-facing AI Labs team within the Automation & Artificial Intelligence Consulting Practice. Your role will involve working closely with AI Consultants and SMEs to define and deliver best-in-class solutions. You should be entrepreneurial, possess strong design skills, be highly analytical, emotionally intelligent, a team player, and driven by making a meaningful impact through your work. This role offers exceptional opportunities for personal growth and recognition for your contributions to developing new opportunities and thought leadership in artificial intelligence and automation domains. - Establish productive long-lasting working relationships with a variety of stakeholders - Lead data pipeline design with strong analytical skills and attention to detail - Work with a variety of Data Science tools, new technologies, IT, compliance, security issues - Design and develop technology solutions across multiple client engagements - Collaborate with other teams to understand business requirements and ensure seamless transitions - Work closely with AI and Fortune 500 clients to build solutions and define AI strategy - Utilize strong logical structuring and problem-solving skills to turn data into actions - Demonstrate strong verbal, written, and presentation skills - Apply programming skills and understanding of data science and Machine Learning tools - Collaborate on high-impact initiatives with Data Scientists globally - Bachelor's or master's degree/PhD in Statistics, computer science, information technology, or related field - Solid understanding of Statistics, hypothesis formulation, testing, descriptive analysis, data exploration - Expertise in Python or R - Strong experience in machine learning algorithms such as Linear/Logistic regression, Random Forest, SVM, Neural Networks, Deep Learning (CNN, RNN, LSTM) - Exposure to NLP and Computer vision use cases - In-depth knowledge of neural networks and architectures - Familiarity with the latest DL architectures and toolkits/frameworks/libraries like Pytorch, TF/Keras, Scikit-Learn, BERT - Experience in Machine Learning Lifecycle - Data Processing, Algorithm Benchmarking, Validation - Exposure to building AI models from scratch - Exposure to Graph-based databases is a plus - Experience with relational databases,

As an Associate Manager - Applied Machine Learning at AVIZVA, your role will involve architecting, designing, and developing advanced GenAI products and services. You will need strong technical expertise in machine learning and team leadership skills to contribute to the development of LLM based products and services. Collaboration with cross-functional teams will be essential to deliver impactful and scalable machine-learning solutions that align with business requirements. Key Responsibilities: - Lead the team by setting clear goals, priorities, and performance expectations aligned with business objectives, ensuring focus, motivation, and adherence to project milestones. - Architect and oversee the lifecycle of LLM based GenAI projects, collaborating with stakeholders to ensure timely delivery in line with business needs, and addressing challenges proactively. - Take ownership of complex technical and operational issues during the project lifecycle, troubleshooting and providing solutions to maintain project efficiency. - Collaborate with infrastructure and engineering teams to ensure seamless deployment and integration of models into production environments. - Cultivate a culture of continuous improvement by implementing agile practices, conducting regular retrospectives, and applying lessons learned to enhance future projects and processes. - Stay updated on emerging machine learning technologies, conducting research, and prototyping new algorithms to tackle complex challenges. - Motivate the team to consistently deliver high-quality results on time, fostering a collaborative and positive work environment. Qualifications Required: - Bachelors or Masters degree in Computer Science or any other analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models (LLMs like LangChain, LLaMA, and transformer models). - Hands-on experience in building RAG (Retrieval Augmented Generation) pipelines. - Proficiency in NLP, NLG, Text Analytics, and using Transformer-based models like Llama, BERT, etc. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with a minimum of 5 years of expertise in Python. - Experience in system design and architecture, with a strong command over design principles focused on Python. - Hands-on experience with Core Python and advanced Python features and libraries such as PyTorch, FAST API. - Proficiency in classification and clustering algorithms, including ensemble models like Gradient Boosting Machines, XGBoost, LightGBM, Predictive Modeling, Decision tree, Linear regression, SVM, etc. - In-depth knowledge of Object-Oriented Programming (OOPs) and Databases (SQL & NoSQL). - Proficient in using ORM tools like SQLAlchemy or Django ORM, with expertise in developing, integrating, and testing RESTful services. - Hands-on experience in debugging and using testing frameworks like pytest or unit test. - Familiarity with front-end fundamentals and web development frameworks, with a deep understanding of Agile methodology. - Excellent communication skills and strong problem-solving abilities.,

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. - Possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms. - Strong familiarity with deep learning methods for text analytics. - Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning. - Experience in time series analysis with real-world datasets. - Familiarity with technologies like Flask, FastAPI, and Hug. - Expert Python programmer. - Proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence.,

As an Assistant Director - AI/GenAI at EY, you will be responsible for developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python programming. Your role will involve leading the development and implementation of Generative AI applications, working with advanced models like GPT-3.5, GPT 4, Llama, BERT, and optimizing solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. You will also work on identifying opportunities for analytics applications, managing projects, and ensuring smooth service delivery. **Key Responsibilities:** - Develop, review, and implement solutions applying AI, Machine Learning, and Deep Learning - Lead the development and implementation of Generative AI applications - Work with advanced models for natural language processing and creative content generation - Design and optimize solutions leveraging Vector databases - Understand business sectors and identify opportunities for analytics application - Manage projects and ensure smooth service delivery - Communicate with cross-functional teams - Go-to-market/stakeholder management **Qualifications Required:** - Experience guiding teams on AI/Data Science projects - Familiarity with implementing solutions in Azure Cloud Framework - Excellent presentation skills - 12-16 years of relevant work experience in developing and implementing AI, Machine Learning Models - Experience with statistical techniques, deep learning, and machine learning algorithms - Proficiency in Python programming - Familiarity with software development life cycle (SDLC) - Willingness to mentor team members As an ideal candidate, you should have the ability to think strategically, build rapport within the firm, and travel extensively. EY offers opportunities to work with a global team of professionals in a dynamic and inclusive culture, providing continuous learning and transformative leadership. Join EY and be a part of building a better working world through innovation and collaboration across industries and geographies.,

As a Senior Machine Learning Engineer at our company, you will play a crucial role in designing, developing, and deploying machine learning models and pipelines for production-scale applications. Your expertise in NLP and Generative AI will be key as you implement solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques. Collaborating with cross-functional teams, you will translate business requirements into technical solutions and work on statistical and mathematical models to analyze complex datasets. Key Responsibilities: - Design, develop, and deploy machine learning models and pipelines for production-scale applications. - Implement NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques. - Apply Generative AI models (OpenAI, LLaMA, Gemini, perplexity, etc.) to solve real-world business problems. - Collaborate with cross-functional teams to translate business requirements into technical solutions. - Work with statistical and mathematical models to analyze complex datasets. - Develop and maintain RESTful APIs and microservices using Flask/FastAPI. - Manage ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools. - Maintain source code repositories (Git, Bitbucket) and ensure best practices for version control. - Work with databases (MongoDB, MySQL) to handle structured and unstructured data. - Participate in project management using tools like JIRA/Asana. - Stay up-to-date with advancements in AI/ML and contribute to innovation within the team. Qualifications Required: - Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics. - ML/Deep Learning/NLP Certification preferred. Preferred Qualities: - Strong problem-solving and analytical skills. - Ability to work independently as well as in a collaborative team environment. - Excellent communication skills to convey complex technical concepts to non-technical stakeholders. - Passion for staying ahead in the AI/ML space. If you join us, you will have the opportunity to work on cutting-edge AI and Generative AI projects, gain exposure to end-to-end ML lifecycle and large-scale deployments, experience a collaborative and innovative work culture, and have growth opportunities in leadership and advanced AI research.,

Role Overview: As an expert in analytics, your role at UBS will involve carrying out independent validation of models used in the UBS corporate credit risk area. This includes assessing the model's conceptual soundness and methodology, checking the appropriateness of input data, model assumptions, and parameters, reviewing outcomes, performing benchmark and robustness analyses, identifying model limitations, evaluating overall model risk, and documenting the assessment to required standards. You will also be interacting and collaborating with stakeholders such as model developers, users, and model governance representatives to safeguard the quality of the model risk management framework. Key Responsibilities: - Assess the model's conceptual soundness and methodology - Check the appropriateness of input data, model assumptions, and parameters - Review outcomes, perform benchmark and robustness analyses - Identify model limitations and evaluate overall model risk - Document the assessment to required standards - Interact and collaborate with stakeholders such as model developers, users, and model governance representatives Qualifications Required: - MSc degree in quantitative Finance, Mathematics, Statistics, or quantitative Economics - 5+ years of working experiences in model validation or model development, preferably in a bank or a consulting firm - Knowledge of financial markets and products, with a strong interest in the financial services industry, especially in risk management - Knowledge and experiences in statistical and economic modeling techniques such as Linear regression, logistic regression, Probit Regression, time series, error correction model, etc. - Experience in low default portfolio modeling/validation preferred - Strong coding skills in R, Python, or similar - Excellent analytical skills - Curiosity and a thirst for innovation - Fluent in English, both oral and written - A team player with strong interpersonal skills - Motivated, well-organized, and able to complete tasks independently to high-quality standards About the Company: UBS is the world's largest and the only truly global wealth manager, operating through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank. With a presence in all major financial centers in more than 50 countries, UBS offers a global reach and expertise that sets them apart from competitors. At UBS, people are valued for their diverse skills, experiences, and backgrounds, driving ongoing success through dedication, passion, supportive teams, growth opportunities, and flexible working options. The inclusive culture at UBS brings out the best in employees at all stages of their career journey, fostering collaboration and recognizing that great work is achieved together. UBS is committed to disability inclusion and offers reasonable accommodation/adjustments throughout the recruitment process. UBS is an Equal Opportunity Employer, respecting and empowering each individual within the workforce.,

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 managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. - 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 the project - Manage the team and ensure successful project delivery - Collaborate with multiple teams to make key decisions - Provide solutions to problems for the immediate team and across multiple teams Qualification Required: - Must To Have Skills: Proficiency in SAP ABAP Cloud - Good To Have Skills: Experience with SAP HANA - 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 The candidate should have a minimum of 5 years of experience in SAP ABAP Cloud. This position is based at our Coimbatore office. A 15 years full-time education is required for this role.,

Job Description: As a web developer at this company, your role will involve developing and maintaining web applications using Python, Django, and Flask. You will be responsible for writing clean, efficient, and reusable code while also designing and implementing RESTful APIs. Additionally, you will need to assess whether a given problem can be addressed using advanced data analytics and/or various machine learning techniques. You will also work on ideas for data collection, clean and structure the data by applying feature-engineering techniques, and train models for designing, developing, and implementing POCs. Key Responsibilities: - Develop and maintain web applications using Python, Django, and Flask - Write clean, efficient, and reusable code - Design and implement RESTful APIs - Assess whether a given problem can be addressed using advanced data analytics and/or various ML techniques - Work on ideas for data collection - Clean & structure the data by applying feature-engineering techniques - Train models for designing, developing, and implementing POCs Qualifications Required: - Should be willing to work as an individual contributor when necessary - Extensive programming experience in Python - Familiarity with various machine learning techniques and libraries - Strong preference for programming experience in Numpy, Pandas, and Matplotlib libraries - Knowledge of basic statistical methods like Random Forest, Linear Regression, Logistic Regression, and other such methods (Note: The company is a data analytics, IoT, and digital services provider with offices in Bangalore and Pune. They are passionate about applying technology for better business decisions.),

As a Data Scientist at Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE, your role will involve the following key responsibilities: - Designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models (Random Forest, Boosting) using R/Python. - Demonstrating competency in Probability and Statistics, including utilizing concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. - Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations. - Performing Exploratory Data Analysis (EDA) of raw data and conducting feature engineering where applicable. - Proficiency in Data Visualization using the Python/R Data Science Stack. - Leveraging cloud platforms for training and deploying large-scale solutions. - Training and evaluating ML models using various machine learning and deep learning algorithms. - Retraining and maintaining model accuracy in deployment. - Packaging and deploying large-scale models on on-premise systems using multiple approaches, including docker. - Taking complete ownership of the assigned project. - Experience of working in Agile environments. - Familiarity with JIRA or equivalent project tracking tool. In terms of competencies and skills, you should have knowledge of cloud platforms such as AWS, Azure, and GCP. Exposure to NoSQL databases like MongoDB, Cassandra, Cosmos DB, HBase is preferred. Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. is beneficial. Proficiency in Excel, including Power Pivot, Power Query, Macros, and Charts, is required. Experience with large datasets and distributed computing (Hive/Hadoop/Spark) is a plus. Additionally, familiarity with transfer learning using state-of-the-art models in various domains like vision, NLP, and speech, integration with external services and Cloud API, working with data annotation approaches and tools for text, images, and videos is desirable. Your work experience should range from a minimum of 2 years to a maximum of 8 years, and you should hold a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

As a Manager in the Pricing Strategy team at KPMG Global Services (KGS), your role will involve working closely with client staff and management to develop and deliver pricing solutions and recommendations. You will collaborate with client teams, conduct data analysis, lead project teams, build relationships with clients and stakeholders, and contribute to business development activities. Your responsibilities will also include team management, performance management, and driving commercial goals to achieve target hours and penetration. Key Responsibilities: - Work collaboratively with client staff and management in developing pricing solutions and recommendations - Understand client system and data structures, and design and execute data intensive analysis - Lead a project team of 3-4 pricing professionals, providing guidance and fostering collaboration - Develop and maintain strong relationships with clients, stakeholders, and cross-functional teams - Manage engagement work-streams and analysis, defining deliverables and setting timelines - Implement solutions/tools in client environment, train clients on new approaches, and tools - Plan and undertake primary and secondary research to develop insights for clients - Develop business cases and business plans supported by robust analysis - Contribute to the delivery and presentation of client deliverables - Engage in business development activities and build relationships with clients - Manage and performance manage a team of 4-5 members across levels - Drive team commercial goals and maintain the right team culture Qualifications Required: - Education/professional qualifications: MBAs/ B. tech/ B.E. from a leading Indian/International educational institution - Minimum 6-8 years of professional experience in strategy or analytics roles - Minimum 3 years of specific experience in pricing strategy and revenue optimization Key Skills Required: - Experience in business research and data analytics with strong understanding of databases and data manipulation - Proficiency in economic modeling and analysis using tools such as Alteryx, PowerBi, Tableau, Python, and SQL - Ability to identify complex pricing problems, develop innovative solutions, and implement effective pricing strategies - In-depth understanding of pricing methodologies and pricing optimization - Hands-on experience in developing Python codes and working with Python libraries - Understanding of machine learning techniques and practical experience in applying them for commercial purposes - Experience in designing/implementing machine learning models for pricing applications - Strong numerical, analytical, and strategic thinking skills - Ability to drive through to an outcome in circumstances of complexity and ambiguity - Flexibility to adapt to different engagement types, working hours, and environments - Strong verbal and written communication skills for presenting insights and recommendations to clients and stakeholders,

As a Data Analyst at PwC, you will focus on leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve strategic goals. Your role will involve extracting insights from large datasets and driving data-driven decision-making through skills in data manipulation, visualization, and statistical modeling. Key Responsibilities: - Apply solid knowledge and experience of supervised and unsupervised machine learning algorithms such as linear regressions, bayesian regressions, multi-objective optimization techniques, classifiers, cluster analysis, and dimension reduction. - Understand technicality used for retail analytics across loyalty, customer analytics, assortment, promotion, and marketing. - Demonstrate good knowledge of statistics including statistical tests and distributions. - Utilize experience in data analysis including data cleansing, standardization, and data preparation for machine learning use cases. - Utilize machine learning frameworks and tools such as scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, and MLlib. - Have advanced level programming skills in SQL and Python/Pyspark to guide teams. - Demonstrate expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. Qualifications Required: - Candidates with 15+ years of hands-on experience. - Educational background in BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA. Additional Details: - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) is a plus. - Experience with model explainability and interpretability techniques. - Ability to multi-task and manage multiple deadlines, incorporating client/user feedback into the Product. - Capability to think through complex user scenarios and design simple yet effective user interactions. - Strong communication and presentation skills.,