122 Linear Regression Jobs

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

As a Model Validation/Audit/Review Specialist at KGS, your primary responsibility will be to conduct validation, audit, and review of credit loss forecasting models within the retail or wholesale domain, specifically focusing on IFRS9/IRB models and their PD/EAD/LGD components. In this role, you will need to understand relevant regulatory requirements, review development documentation, perform testing and benchmarking, create challenger models using SAS, R, or Python, and prepare comprehensive reports. Your duties will also include providing support for other model validation activities related to Underwriting scorecards, Credit Scoring, behavioral models, economic scenario models, and validation-related automation tasks as required. You will be responsible for assessing the conceptual soundness of models, critically evaluating testing conducted by developers, ensuring model integrity and accuracy, evaluating predictive power and robustness, and ensuring compliance with regulatory standards. Collaboration with seniors, AMs, and Managers will be essential to meet key project deliverables. You will be expected to take ownership of key deliverables, engage with Partners/Directors to understand project scope and business requirements, and coordinate with onshore and offshore teams for successful project delivery. Additionally, you will provide advice to non-audit clients on the implications of evolving provision accounting standards (IFRS9) and help them validate or develop credit risk measurement models. Qualifications for this role at KGS include an advanced degree in Mathematics, Statistics, Economics, or other analytical disciplines. Alternatively, a graduate degree along with an MBA in Finance and relevant experience or exposure will be considered. Additional certifications such as FRM or CFA are preferred. Ideal candidates should have 2-12 years of experience in Risk Management/Analytics at major banks, top-tier consulting firms like Big 4, or captives of well-known banks. Proficiency in programming languages such as Python, SAS, and R is required. Advanced skills in statistical and quantitative modeling, including various techniques like linear regression, logistic regression, ARIMA, Markov Chain, Merton Model, CHAID, and other predictive modeling methods, are essential. In-depth knowledge of regulatory requirements related to model risk management, such as SR11-7, SR15-18, PRA, and EBA guidelines, is also expected.,

As a Deep Learning Engineer Intern, you will have the opportunity to work on our core ML stack, focusing on areas such as Computer Vision, Recommendation Systems, and LLM-based Features (optional). Working closely with our senior engineers, you will gain hands-on experience with real data, address edge-case challenges, and rapidly iterate on prototypes that drive our food-robotic machine. You will be an integral part of a focused 2-person full-time ML team, serving as our first intern and reporting directly to the Lead. This small team size ensures significant mentorship opportunities and allows you to make a direct impact on product development. Your responsibilities will include: - Working on tasks such as Ingredient Segmentation, Recipe Similarity, and Vision-Language Models - Packaging and deploying models for on-device inference and AWS services - Supporting data collection and annotation, refining datasets based on model performance - Iterating on experiments, tuning hyperparameters, testing augmentations, and documenting results We are looking for candidates with: - Strong fundamentals in Deep Learning (Transformers, CNNs) and classical ML (Logistic / Linear regression) - Hands-on experience with PyTorch in academic projects, internships, or personal work - Proficiency in Python and the broader ML ecosystem (NumPy, pandas) - Solid understanding of training pipelines, evaluation metrics, and experimental rigor - Eagerness to learn new domains such as NLP and recommendations Nice to have skills include prior exposure to LLMs or multimodal models, experience with computer vision in challenging real-world environments, and projects involving noisy, real-world datasets or edge-case-heavy scenarios. Working with us, you will enjoy: - Early ownership of ML features, contributing end-to-end to projects - Hands-on experience with real robotic systems in homes, witnessing your models in action - Direct access to senior ML engineers for mentorship in a small, focused team environment - Rapid feedback loops that allow you to prototype, deploy, and learn quickly - A clear growth path with strong potential for full-time conversion into our rapidly expanding ML team We are looking for candidates who are currently enrolled in a B.Tech or M.Tech program (3-4 years into their degree), possess strong math and ML fundamentals beyond using off-the-shelf libraries, thrive in an ambiguous, fast-paced startup environment, and are always curious, enjoying building, experimenting, and sharing insights. Location: Bangalore (4 days WFO & 1 day WFH) Duration: 3-6 month internship Compensation: 1,00,000/month To apply, ensure your resume includes a project portfolio with the following: - GitHub profile showcasing ML/deep learning projects - Public codebase from coursework, internships, or personal work - Kaggle notebooks or competition solutions with leaderboard standings,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning 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 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. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

Become part of our team! Team introduction Department of Data and Analytics has its hub at DTICI Bengaluru India catering to data and analytics requirements for Daimler Truck. we are 150+ strong team comprising of Data engineers, Data scientists, AI engineers and Analysts What makes the team/department special Highly energetic and young team that solves business problems that have the potential to define we build our trucks Good Communication & presentation skills. Strong Knowledge of Azure Components Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks Master in Statistics/Machine Learning/Economics/ Big Data analytics (Full -Time) Strong experience in object-oriented programming using Python & PySpark Experience developing, training, and evaluating (supervised/unsupervised) machine learning models such as linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection Familiar with statistical distributions, correlation analysis, descriptive statistics, ROC, F1-Score, etc. Proficiency in Python, Scikit-learn and ML libraries. Strong understanding of statistical modeling and data preprocessing. Should have had at least 2 to 3 use cases where the candidate would have gained the experience of end to end development of Data science solution and deployment Problem definition - white boarding Hypothesis building and testing and Exploratory data analysis Data engineering to curate data for model Training, testing, deployment and MLops Job Title: Data Scientist (Iterative Model Development Traditional ML) Job Summary: We are seeking a Data Scientist with expertise in building and optimizing traditional ML models, specifically within the automobile domain. The ideal candidate will have strong experience in classical ML algorithms, survival models, time series, statistical modelling, and deployment of predictive models. Experience with streaming data and telematics data solutions is highly desirable. Key Responsibilities: Work with Daimler s Businesses and Enabling Areas to support key business functions Contribute to storyboarding our results, support recommendations for an executive-level audience and produce leadership-quality deliverables Develop and optimize traditional ML models (regression, decision trees, SVM, XGBoost, etc.) with strong knowledge on Hypothesis testing. Perform feature engineering and dataset preprocessing for model training. Build scalable machine learning pipelines for real-world applications. Work on time series forecasting, anomaly detection, recommendation systems, etc. Optimize model performance using hyperparameter tuning and cross-validation. Deploy ML models into production using cloud and on-premises solutions. Collaborate with cross-functional teams to integrate ML models into business processes. Analyze and interpret telematics data to derive actionable insights. Develop solutions for streaming data processing and real-time analytics.

You should have the ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrating competency in Probability and Statistics, you should be capable of utilizing ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Your experience should include dealing with outliers, denoising data, and handling the impact of pandemic like situations. Performing Exploratory Data Analysis (EDA) of raw data and feature engineering wherever applicable is crucial. You should possess demonstrable competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions is essential. Being able to train and evaluate ML models using various machine learning and deep learning algorithms is a must. You should also be skilled in retraining and maintaining model accuracy in deployment. Knowledge of cloud platforms such as AWS, Azure, and GCP is required. Exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase) is preferred. An understanding of forecasting experience in products like SAP, Oracle, Power BI, and Qlik is beneficial. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) is expected. Having experience with large datasets and distributed computing (Hive/Hadoop/Spark) is advantageous. Knowledge of transfer learning using state-of-the-art models in different spaces like vision, NLP, and speech is a plus. Integration with external services and Cloud API is also a part of the role. Working with data annotation approaches and tools for text, images, and videos is desirable. You should be able to package and deploy large-scale models on on-premise systems using multiple approaches, including Docker. Taking complete ownership of the assigned project is necessary. Experience of working in Agile environments and being well-versed with JIRA or equivalent project tracking tools is expected.,

As the leader of the data analytics and AI team, you will play a crucial role in driving our organization towards a data-first and data-driven approach. Your primary responsibility will be to deliver and maintain smart data-driven solutions that are essential for our growth and daily operations. By accelerating the adoption of AI solutions, you will enhance efficiency, foster innovation, and gain a competitive advantage for the company. Your role will involve overseeing all aspects of new data and AI projects, from their inception to delivery, with a strong emphasis on assessing business value, ROI, and cost reduction. Your key responsibilities will include leading and developing a robust data analytics and AI team, establishing best practices and methodologies for data analytics and responsible AI initiatives, managing and overseeing AI and LLM projects, building relationships with business process owners, collaborating with internal and external stakeholders, developing advanced models and algorithms, addressing data mining performance issues, and staying updated on the latest advancements in AI and LLM technologies to improve project outcomes. Preferred skills for this role include proficiency in programming languages such as Python, R, or similar, understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), clustering techniques, and principal component analysis. Additionally, familiarity with data science concepts including statistics, probability, data transformation, visualization, storytelling, and deep learning, as well as expertise in statistical and mathematical methods and data & AI technologies/tools like ML Ops, ETL, data lakes, graph databases, NLK, and data optimization will be beneficial for success in this position.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

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

As a Data Science Instructor at our dynamic team, you will play a crucial role in preparing students for the evolving data science landscape. Your primary focus will be on delivering immersive and hands-on learning experiences to equip future data professionals with practical skills in SQL, Python, Machine Learning, and real-world project development. Your responsibilities will include developing and conducting engaging lessons and workshops covering core data science topics, with a notable emphasis on SQL and Python programming. You will guide students through foundational machine learning models such as linear regression, logistic regression, decision trees, and random forests, ensuring they comprehend both the theoretical concepts and practical applications. Moreover, you will be tasked with designing and facilitating hands-on projects to help students apply their knowledge effectively and build a robust portfolio of work. Your ability to explain complex technical concepts in a clear and concise manner will be pivotal in making the material accessible to a diverse group of learners. As a mentor, you will provide constructive feedback and guidance to support students in overcoming challenges and enhancing their understanding. Collaboration with our team to continuously enhance and refine our curriculum to ensure its relevance and cutting-edge nature will also be part of your role. To excel in this position, you must have proven experience as a Data Scientist, Machine Learning Engineer, or similar role, backed by a strong portfolio that demonstrates your expertise in Python and machine learning projects. Your proficiency in Python for data analysis, manipulation, and model building, along with practical experience in common machine learning models, is essential. Additionally, your exceptional ability to design and lead hands-on projects that foster practical skill development, coupled with strong communication and presentation skills, will be key in your success. Proficiency in SQL for data querying and management is also required. Preferred qualifications include familiarity with Python libraries like Streamlit, experience with Natural Language Processing (NLP) concepts, exposure to Large Language Models (LLMs) or chatbot development, and prior experience in teaching, mentoring, or training roles. If you are enthusiastic about empowering the next generation of data scientists and possess a proven track record in building and explaining data science projects, we encourage you to reach out to us at hr@ndmit.com. Join us in shaping the future of data science education!,

Vola Finance is a rapidly expanding fintech company that is transforming the landscape of financial access and management. Our cutting-edge platform empowers individuals to enhance their financial well-being and take charge of their expenditures through a range of innovative tools and solutions. With the support of top-tier investors, we are dedicated to crafting products that have a significant positive impact on the lives of our users. Our founding team comprises enthusiastic leaders with extensive backgrounds in finance and technology. Drawing upon their vast experience from leading global corporations, they are committed to cultivating a culture of creativity, teamwork, and excellence within our organization. As a member of our team, your primary responsibilities will include: - Developing churn prediction models utilizing advanced machine learning algorithms based on user transactional and behavioral data - Constructing regression models to predict users" income and balances using transaction data - Creating customer segmentation and recommendation engines for cross-selling initiatives - Building natural language processing models to gauge customer sentiment - Developing propensity models and conducting lifetime value (LTV) analysis - Establishing modern data pipelines and processing systems using AWS PAAS components like Glue and Sagemaker Studio - Utilizing API tools such as REST, Swagger, and Postman - Deploying models in the AWS environment and managing the production setup - Collaborating effectively with cross-functional teams to collect data and derive insights Essential Technical Skill Set: 1. Prior experience in Fintech product and growth strategy 2. Proficiency in Python 3. Strong grasp of linear regression, logistic regression, and tree-based machine learning algorithms 4. Sound knowledge of statistical analysis and A/B testing 5. Familiarity with AWS services such as Sagemaker, S3, EC2, and Docker 6. Experience with REST API, Swagger, and Postman 7. Proficiency in Excel 8. Competence in SQL 9. Ability to work with visualization tools like Redash or Grafana 10. Familiarity with versioning tools like Bitbucket, Github, etc.,

The role sits within our Decision Analytics business, one of our four Global Business Lines. Experian Decision Analytics helps client achieve and sustain significant growth. We do this by enabling clients to make analytics-based customer decisions that support their strategic goals. As experts in uniting business understanding with consumer and business information, analytics and strategy execution, we empower clients to optimize customer value and actively manage it over time. This role therefore has clear accountability for creating measurable value within our client organizations. What you ll be doing This will be a client - facing role, requiring direct interaction with clients to understand their needs and delivery tailored solutions. Delivering high quality analytical and value-added services for clients while adhering to timelines Build next in class risk Models for our Clients leveraging bureau and alternate data Provide subject matter expertise on acquisition and limit assignment strategies You ll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution You will have the opportunity to use analysis and customer insights to develop value propositions for customers Manage the delivery of multiple, complex analytics projects Flexible and expertise to perform hands-on modelling work Motivate project team to ensure quality deliverables and achieve milestones Mentor and coach junior team members in model development process Develop industry best practice on model development/validation Drive high standards of customer service and proactive client communication throughout the project term About Experian Experian unlocks the power of data to create opportunities for consumers, businesses and society. We gather and analyse data in ways others cant. We help individuals take financial control and access financial services, businesses make smarter decision and succeed, lenders lend more responsibly, and organisations prevent identity fraud and crime. For more than 125 years, weve helped consumers and clients prosper, and economies and communities flourish and were not done. Our 17,800 people in 45 countries believe the possibilities for you, and our world, are growing. Were investing in new technologies, experienced people and new ideas so we can help create a better tomorrow. Experience and Skills 10 -12 years experience in credit risk modelling across customer life cycle A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc. Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree Experience working on large data sets using Modern languages like Python Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques Good applied statistics skills, such as distributions, statistical testing, regression etc. Understanding of decisioning and portfolio management in banking and financial services would be added advantage Understanding of credit bureau would be an added advantage Extensive experience of managing large projects Experience of working in a financial services environment or Modelling department of International Banks Able to interpret technical features into commercial benefits Additional Information Benefits package includes: Great compensation package. Core benefits include, Group mediclaim Insurance, Sharesave scheme and more! 25 days annual leave & 10 sick leaves. Car Lease policy Role Location: Mumbai Experian is an equal opportunities employer #LI-Onsite Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

upstox is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science. Role Value Proposition: We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLifes enterprise functions and lines of businesses across markets. This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors. Job Responsibilities Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc. Good written, oral communication with ability to communicate effectively with stakeholders Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus Mentoring skills are considered as a plus Experience with Big Data platforms Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus Knowledge, Skills and Abilities Bachelors degree in a quantitative field required; Masters or PHD preferred 5-8 years of experience in insurance analytics, data science or similar function Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them Ensure coding standards as well as designing standards to ensure reusability Drive innovation by enhancing existing solutions and designing new ones Build collaboration and awareness in the global analytics community

Seeking candidates with strong knowledge in AI, ML, and Python. Must understand ML algorithms and data preprocessing. Hands-on experience in model building or deployment is a plus. Passion for solving real-world problems using data is essential.

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Corporate Function – Data Science Designation: AI Scientist Desired Experience: 0-3 Year Required Educational Qualification : PhD/ M.Tech / B.Tech with relevant experience from Tier 1 Campus As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in/

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

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your responsibilities include ensuring the smooth functioning of applications, addressing any arising issues, collaborating with the team, making team decisions, and engaging with multiple teams. Your problem-solving abilities and expertise in SAP Global Trade Services will be crucial in contributing to the success of the project. You are expected to be a Subject Matter Expert (SME) and manage the team to perform effectively. Your role involves making team decisions, contributing to key decisions, providing solutions to problems within and across multiple teams, and ensuring the applications" smooth operation. Proficiency in SAP Global Trade Services, statistical analysis, machine learning algorithms, data visualization tools like Tableau or Power BI, and hands-on experience with various machine learning algorithms are essential. Additionally, you should have a strong grasp of data munging techniques to maintain data quality and integrity. The ideal candidate should possess a minimum of 7.5 years of experience in SAP Global Trade Services. This full-time position is based in Hyderabad and requires a 15 years full-time education.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

As a member of the R&A COE team at EY, you will be part of a dynamic group working on various Data Science and Machine Learning projects. Your role will involve utilizing your experience in data science projects and demonstrating advanced programming skills in SAS, R, or Python. You will be expected to independently understand and address data science problems using techniques such as linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, time series modeling, segmentation, decision tree, clustering, recommendation engines, and forecasting. In this position, you will collaborate with a diverse team to contribute to Decision Sciences implementation projects. Your responsibilities will include developing analytical strategies for businesses, communicating with onsite coordinators, and presenting model results to clients. Timely completion of assigned tasks and regular status reporting will be essential components of your role. To be successful in this role, you should hold a degree in BE/BTech/MCA/MBA/CA with 0-3 years of experience in Information Management/Analytics. Having an understanding of Business Intelligence & Data Visualization concepts and experience with BI/Visualization tools will be advantageous. Additionally, you should possess excellent communication skills, a collaborative mindset, and a familiarity with software development best practices. If you have a background in the Banking/Finance domain, prior experience in client-facing roles, and strong written and verbal communication skills, it will be considered as additional assets. By joining EY, you will be part of a global organization dedicated to building a better working world through innovation, collaboration, and a commitment to creating value for clients, society, and the planet.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,