539 Logistic Regression Jobs - Page 4

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.,

Assistant General Manager - Customer Delight: Job Summary: We arelooking for a dynamic and experienced Assistant General Manager (AGM) Customer Delight to lead and oversee large-scale contact centre operationsacross multiple processes. This role demands strong leadership, strategicvision, and operational expertise to drive superior customer service, enhancecustomer satisfaction, and optimize operational efficiencies across diverseteams and service channels. Key Responsibilities: Strategic Leadership & Operational Oversight: Provide leadership and direction for large contact centre operations involving multiple teams and processes, ensuring alignment with company goals and customer experience strategies. Should have managed more than 150+ FTEs spread across multiple processes/contact centres. Multi-Process Management: Oversee the delivery of multiple customer service processes (e.g., inbound/outbound calls, chat, email, social media support), ensuring consistent service quality and performance standards across channels. Team Management & Development: Manage, mentor, and motivate a large workforce including team leads, supervisors, and agents. Drive talent acquisition, training, succession planning, and career development programs. Performance Management & Analytics: Define and monitor comprehensive KPIs such as Customer Satisfaction (CSAT), Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and Service Level Agreements (SLAs). Utilize data analytics to identify trends, optimize workflows, and drive continuous improvements. Process Optimization & Innovation: Lead initiatives to streamline processes, improve operational efficiency, and enhance the customer journey through automation, technology upgrades, and best practices. Customer Escalations & Quality Assurance: Handle escalated customer issues promptly, ensuring effective resolution and maintaining customer trust. Oversee quality assurance programs to maintain high service standards. Budget & Resource Management: Develop and manage operational budgets, resource planning, and vendor relationships to support scalable and cost-effective contact centre operations. Compliance & Risk Management: Ensure all operations comply with regulatory requirements, data privacy laws, and company policies. Lead risk mitigation and business continuity planning. Cross-Functional Collaboration: Work closely with other departments such as IT, Sales, Marketing, and Product teams to align customer experience initiatives and resolve systemic issues impacting customer satisfaction. Automation and AI deployment Ensuring the right deployment of AI solutions which results in the overall contacts volume reduction and increased efficiency as well as the quality of service. Qualifications & Experience: Bachelors degree in Business Administration, Management, or related field; MBA or advanced degree preferred. Minimum 10 years of progressive experience in contact centre management or customer experience leadership roles. Proven experience managing large teams (100+ employees) across multiple processes in a complex contact centre environment. Strong strategic thinking, analytical skills, and data-driven decision-making abilities. Excellent leadership, communication, and interpersonal skills. Proficient in CRM platforms, workforce management, and contact centre technologies. Demonstrated ability to drive transformation and deliver results in fast-paced, high-pressure environments. Key Competencies: Strategic leadership & vision Multi-channel customer service expertise Large team & multi-process management Operational excellence & process improvement Data analytics & performance management Stakeholder management & collaboration Change management & innovation mindset

Designation/Role Name Machine Learning Engineer Org Structure Data Science & AI Team Work Schedule According to the business needs Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI areas (Machine Learning, NLP, Computer Vision) and development of solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to understand data, requirements, design and develop a Machine Learning Model for the requirements. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Experience in predictive analytics and statistical modeling Experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience Design and Development of at least 3 Data Science, AI Projects with design and development of Machine Learning models 1 Generative AI Project designed, developed and delivered to production is desirable Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Understanding in GenAI concepts, RAG and Models fine-tuning techniques is desirable Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills Experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Experience 3+ years in Machine Learning Model development in Data Science/AI Projects. Awareness of LLM integrations / development is desirable. Description of Responsibility Understand customer s requirements (Business, Functional, Non-Functional etc.,), design and develop Machine Learning Models Design and implement Machine Learning Models using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Experience in Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, LLama, Mistral etc.,) is desirable Sills / Competencies requirement Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

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

Project Role : Engineering Services Practitioner Project Role Description : Assist with end-to-end engineering services to develop technical engineering solutions to solve problems and achieve business objectives. Solve engineering problems and achieve business objectives using scientific, socio-economic, technical knowledge and practical experience. Work across structural and stress design, qualification, configuration and technical management. Must have skills : Aircraft Systems Good to have skills : Aircraft Design, Airbus Configuration ToolsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled and detail-oriented Design Engineer to support the structural repair design of aircraft wing components. The role involves evaluating in-service damage, developing repair schemes, supporting fleet issues, and ensuring compliance with airworthiness requirements. The ideal candidate will have a strong background in aircraft structural design, repair practices, and regulatory standards. Roles & Responsibilities:Evaluate structural damage on aircraft wings and provide suitable repair solutions in compliance with OEM standards and airworthiness requirements.Design and validate structural repairs using Airbus Methodology and approved engineering tools.Develop repair drawings, technical schemes, and engineering reports.Coordinate with team members and OEM for repair approvals and clarifications.Support fleet engineering by investigating damage trends and recommending design or operational improvements.Contribute to continuous improvement initiatives in repair development and engineering processes.Ensure timely delivery of engineering documentation with accuracy and compliance to internal and regulatory requirements.Participate in technical reviews, risk assessments, and design validation activities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Aircraft Systems.- Strong understanding of statistical analysis and machine learning algorithms.- Solid grasp of data munging techniques. Additional Information:- The candidate should have a minimum of 28 years of experience in aircraft structures design or repair, preferably with a focus on wings.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

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

As a Client Engagement and Project Management Analyst Associate - Senior Associate at Tata Insights and Quants, your role as an Individual Contributor involves establishing Tata iQ as an Analytics Thought Partner and an end-to-end analytics solution provider. Your objective is to position Tata iQ as an Analytics thought and implementation partner with the Client, facilitate efficient delivery of projects, and ensure business continuity and long-term customer engagement. Key Responsibilities: - Collaborate with Tata Group Member Company in its data & analytics maturity journey, understanding business objectives, translating them into analytics solutions, building a value proposition and business case, managing analytics projects, and implementing change management. - Provide Data & Analytics Subject Matter Expertise, offer recommendations on best practices in analytics, conceptualize analytics projects based on client objectives, develop an Analytics roadmap, and effectively partner with data and analytics skills available. - Act as an Analytics Business Partner by gathering requirements from business teams, transforming requirements into data-driven project solutions, coordinating stakeholders, and assisting in the deployment of solutions. - Manage Program Management by overseeing projects from end to end, detailing identified projects, monitoring progress, and applying best practices in project management. Requirements/Skill Sets: Must-have technical skills: - Proficiency in MS Office tools - Understanding of data & analytics tools and techniques - CPG and/or Manufacturing domain expertise Must-have soft skills: - Problem-solving and lateral thinking skills - Excellent written and oral communication - Good interpersonal, reasoning, and analytical skills - People Management Experience - Detail-oriented with the ability to manage multiple projects simultaneously - Change Management skills Good to have soft skills: - Candidates from Analytics Consulting background preferred - Strong analytical and problem-solving skills - Intellectual and analytical curiosity - Start-up environment and product development experience - Exposure to Marketing and Partnership Management - Well-networked with CXOs at Tata Group Companies Key Competencies and Characteristics: - Comfortable working at the highest levels of client organizations - Ability to interact closely with C-level executives - Executive Presence and people skills - Team-oriented and collaborative approach - Entrepreneurial instinct with a strong understanding of business operations - High integrity and credibility Education Qualification: - Preferably a Bachelors or Masters in Economics, Finance, Mathematics, Statistics, or BE Computer Science - Minimum 2-4 years of experience as a Program Manager - Experience in Analytics industry preferred - Experience working in start-up environments If you are interested in this role, please reach out to careers@tataiq.com.,

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

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool. Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

At Adobe, we are looking for a highly motivated and exceptionally skilled Member Technical Staff I to join our engineering team in Bengaluru. You will have the chance to collaborate with a wonderful team and contribute to powerful projects that make an impact globally. Key Responsibilities Develop and program coordinated software algorithms to structure, analyze, and leverage data in both structured and unstructured environments. Communicate descriptive, diagnostic, predictive, and prescriptive insights/algorithms effectively. Employ machine learning and statistical modeling techniques, such as decision trees, logistic regression, and Bayesian analysis, for the development and evaluation of algorithms aimed at improving system performance. Translate algorithms and technical specifications into flawless code using current programming languages and technologies. Perform testing, debugging, and efficiency implementation to ensure high-quality software delivery. Complete documentation and procedures for installation and maintenance of developed systems. Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations. Adapt machine learning to virtual reality, augmented reality, artificial intelligence, robotics, and other interactive products. Qualifications Proven experience in developing and programming coordinated software algorithms. Strong understanding of machine learning, statistical modeling, and deep learning technologies. Proficiency in current programming languages and technologies. Ability to work with large-scale computing frameworks, data analysis systems, and modeling environments. Outstanding problem-solving skills and attention to detail. Excellent communication and collaboration abilities to work effectively in a team-oriented environment.

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.

Company: Oliver Wyman Description: About The Role Job Title Actuarial Intern Life Office/Regions available: Bengaluru , Gurugram As an Actuarial Intern , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Assisting with actuarial model conversions and optimization Perform Actuarial model testing and validation Client and industry presentations, surveys, case studies and marketing support Supporting development and maintenance of intellectual capital Qualifications and Desired Skills Currently pursuing or having recently obtained a Bachelors or Masters degree, ideally in Actuarial Science, Mathematics, Statistics, Finance, or a related field Commitment to passing actuarial exams Desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Exposure to MS Excel, MS Access or other database software, with VBA or other programming languages experience Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Lead Data Analytics Specialist based in our Hyderabad office. OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Serve as the primary analytical resource for client teams, building trusted relationships with key stakeholders. Collaborate with senior team members to identify risks and growth opportunities, utilizing analytical insights for client benefit. Extract and manipulate data from various sources using SQL and Python for business intelligence reporting. Engage with stakeholders to understand reporting needs and align KPIs with strategic objectives. Coordinate with stakeholders to collect, clean, and validate datasets, ensuring data integrity through coding techniques. Develop and implement data models in SQL and Python to uncover trends and enhance business performance insights. Conduct in-depth analyses with SQL and Python to provide actionable insights for client decision-making. Maintain and optimize BI reports through coding improvements to ensure accuracy and relevance. Stay updated on market trends and best practices in data analytics to enhance service offerings and quality standards. Mentor junior team members in analytical coding practices, fostering a collaborative learning environment. Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Over 4+ years of experience in data analytics, focused on SQL and Python coding. Proficient in data analytics tools such as SQL and Python, with a solid track record of managing complex analytical projects Strong analytical and problem-solving skills, delivering actionable insights through data modelling and analysis Excellent client-facing abilities, building relationships with senior stakeholders and influencing decision-makers. Strong written and verbal communication skills, effectively engaging with stakeholders at all levels. Adaptive learner with the ability to rapidly adopt new tools and platforms, including knowledge of Gen AI Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to mentoring and developing talent. Familiarity with creating visualizations in Power BI and Tableau is a plus. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

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.

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.,

Minimum qualifications: You have a Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. Along with that, you possess 4 years of experience with physical design flow, including floor planning, place and route, or physical verification. Your expertise also includes experience with low-power design techniques like power gating, clock gating, or voltage scaling. Preferred qualifications: It is preferred that you have experience in using Machine Learning (ML) in physical design. You also have knowledge of machine learning algorithms ranging from logistic regression to deep neural networks and reinforcement learning, coupled with proficiency in data structures and algorithms. About the job: As a member of our team, you will be part of a group that consistently pushes boundaries, working on developing custom silicon solutions that drive the future of Google's direct-to-consumer products. You will play a pivotal role in the innovation behind products that are beloved by millions globally. Your expertise will be instrumental in shaping the next era of hardware experiences, ensuring unparalleled performance, efficiency, and integration. In this role, you will be responsible for contributing to the enhancement of Power Performance Area (PPA) through the utilization of machine learning techniques. Leveraging your experience in physical design and machine learning, you will tackle technical challenges and enhance Power, Performance, Area, and Schedule metrics. Your tasks will involve design and optimizations, floor planning, place and route, clock and power planning, timing analysis, and Power Delivery Network (PDN) analysis. Collaboration is key in this role, as you will work across Alphabet, engaging with design, CAD, and machine learning teams. Google's mission revolves around organizing the world's information, making it universally accessible and useful. Our team amalgamates the finest aspects of Google AI, Software, and Hardware to craft profoundly useful experiences. We delve into research, design, and development of cutting-edge technologies and hardware to accelerate computing, ensuring it is seamless and potent. Our ultimate goal is to enhance people's lives through technology. Responsibilities: Your responsibilities will include deploying Artificial Intelligence (AI) solutions into chip design, collaborating with internal teams, Google DeepMind, and others to explore solutions and enhance chip design PPA or cycle time.,

The role within Niro Money, Data and Analytics team involves translating data into actionable insights to enhance marketing ROI, business growth, and customer experience for various financial products like personal loans, home loans, credit cards, and insurance. You will be required to have a strong background in data analytics and deliver strategic recommendations to key stakeholders and business heads. You will lead, mentor, and develop a high performing team of data analysts and data scientists focused on building decision science models and segmentation to predict customer behaviors. Additionally, you will develop data-driven strategies to optimize marketing ROI for different financial products such as personal loans and credit cards. Collaborating with the Partnership & Marketing team, you will conduct marketing experiments to improve funnel conversion and measure the effectiveness of marketing campaigns and experiments, recommending necessary changes to enhance customer journey-related product changes. In this role, you will foster a culture of collaboration, innovation, and data-driven decision-making across multiple teams within Niro. Managing multiple analytics projects simultaneously, you will prioritize them based on potential business impacts and ensure timely and accurate project completion. You will also be responsible for project planning and monitoring, promptly addressing challenges to keep projects on track. Additionally, you will partner with Data Engineering, Technology, and Product teams to develop and implement data capabilities for running marketing experiments and delivering actionable insights at scale. The ideal candidate for this role should possess a Master's degree in statistics, mathematics, data science, economics, or BTech in computer science or engineering. You should have at least 5 years of hands-on experience in decision science analytics and building data-driven strategies, preferably in the financial services industry. Additionally, you should have 2+ years of experience in managing and leading a team of data analysts and data scientists, as well as hands-on experience in statistical model development using Python packages like Scikit learn, XGBoost, Stats models, or decision tree tools. Proficiency in SQL and Python is essential, along with a proven track record of decision-making and problem-solving based on analytics. Experience with Snowflake, AWS Athena/S3, Redshift, and BI Tools like AWS Quicksight would be advantageous. You should have a strong analytical mindset, the ability to evaluate complex scenarios, and make data-driven decisions. Being creative and curious with a willingness to learn new tools and techniques is crucial. A data-oriented personality, along with excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders, will be key to success in this role.,

We are looking for a skilled Senior Data Analyst to join our team at Hevo Data, responsible for driving business growth through data-driven insights. The ideal candidate will have a strong background in data analysis and interpretation, with excellent communication skills. Roles and Responsibility Develop and maintain complex data models and dashboards to support business decision-making. Analyze large datasets to identify trends, patterns, and correlations, providing actionable recommendations. Collaborate with cross-functional teams to design and implement data-driven solutions. Create reports and presentations that communicate findings and insights to stakeholders. Stay up-to-date with industry trends and emerging technologies in data analytics. Provide expert-level support for data-related projects and initiatives. Job Requirements Proven experience as a Senior Data Analyst or similar role, with a minimum of 2 years of experience. Strong proficiency in data analysis tools such as SQL, Excel, or statistical software. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced environment with multiple priorities. Strong understanding of data structures, algorithms, and software design patterns. Experience working with large datasets and developing scalable data solutions.

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence.Experience with Google cloud platform. Required Candidate profile Desired Skills:Python, Artificial Intelligence, Machine learning, GCP Position Name: Data Scientist Client Name:Renault Work Location: Chennai Mode of Work : Hybrid

We are looking for a highly skilled Quant Researcher to join our team at QuantInsti, a leading quantitative learning company in the IT Services & Consulting industry. The ideal candidate will have a strong background in quantitative research and analysis, with excellent problem-solving skills and attention to detail. Roles and Responsibility Conduct thorough quantitative analysis of complex data sets to identify trends and patterns. Develop and implement advanced statistical models and algorithms to solve real-world problems. Collaborate with cross-functional teams to design and execute experiments and studies. Analyze and interpret large datasets to inform business decisions and drive growth. Stay up-to-date with industry trends and developments in quantitative research. Communicate complex technical concepts effectively to non-technical stakeholders. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with data visualization tools like Tableau or Power BI. Excellent understanding of statistical concepts and machine learning algorithms. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively. Strong organizational and time management skills with the ability to prioritize tasks.