1036 Logistic Regression Jobs - Page 5

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization.Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth.Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning.Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skills - machine learning,data science,python,deep learning,natural language processing,sql,neural networks,predictive modeling,R,Artificial intelligence.

As a Data Scientist, your role involves leveraging structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. You will be responsible for developing and delivering impactful analytical tools and solutions by leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. Key Responsibilities: - Design and apply advanced predictive and machine learning models including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, ass...

Role Overview: You will be working as an Associate Architect - Machine Learning within the healthcare domain at Quantiphi. Your role will involve developing high-level solution architectures, collaborating with offshore teams to build and test models for predicting and optimizing business outcomes, and communicating insights to clients. Additionally, you will be responsible for building strong client relationships, mentoring senior resources, and leading technical discussions on architecture designing and troubleshooting. Key Responsibilities: - Develop high-level solution architectures and collaborate with offshore teams on model development, testing, and assessment - Communicate insights t...

As a Manager in the Pricing Strategy team at KPMG Global Services (KGS), your role will involve working closely with client staff and management to develop and deliver pricing solutions and recommendations. You will collaborate with client teams, conduct data analysis, lead project teams, build relationships with clients and stakeholders, and contribute to business development activities. Your responsibilities will also include team management, performance management, and driving commercial goals to achieve target hours and penetration. Key Responsibilities: - Work collaboratively with client staff and management in developing pricing solutions and recommendations - Understand client system ...

Bachelor s degree in business, Proven experience as a Data Engineer in a software development environment. Strong understanding of Data Integration Excellent communication, facilitation, and coaching skills. Ability to work collaboratively in a fast-paced environment. Proficient in Python and Machine Learning Ideally you will also have Python Development Develop, test, and maintain high-quality Python code Utilize advanced Python features, including classes and object-oriented programming, to create efficient and reusable code. Leverage data manipulation libraries such as Pandas and NumPy to process and analyze large datasets effectively. Machine Learning Integration Collaborate with cross-f...

About the Role We are looking for a Program Manager/Associate Program Manager at Leap. You will work on charters which can have an orbit-change impact on Leaps trajectory. The charter for this role will include: Working on transformation projects for the company. You will do multiple Strategize - Build - Operate - Transfer projects in a year. Augmenting the business unit leaders in solving key problems. You will act as a consultant to help multiple business lines and plug any gaps needed for the business to succeed. Work on open ended projects such as market research, opportunity sizing, user research, identifying M&A opportunities. Do whatever else is critical for the business to win. Ideal...

About the role We at Leap are looking to hire an intern for our Product team. It is a multifaceted and critical positionthat involves working closely with the Senior Leaders for driving special projects. Key Responsibilities Work closely with the senior leaders turning concepts into tangible achievement Dive into industry trends, discover competitor insights while also working on user research Build a hypothesis to solve the different problem statements, execute, validate and scale theresults Align with stakeholders across the org to drive the actionables; be a driving force incross-functional teams Assist in presenting findings, recommendations, and progress updates to leadership Support ke...

Roles & Responsibilities: Build and deploy predictive and prescriptive machine learning models to solve business problems. Collect, clean, and transform structured/unstructured data using Python, SQL, and data pipelines. Conduct exploratory data analysis (EDA), identify patterns, and generate actionable insights. Collaborate with business, analytics, and engineering teams to define data-driven solutions. Design and automate dashboards and KPIs to monitor model performance and business impact. Apply statistical, ML, and deep learning techniques for classification, regression, clustering, and NLP tasks. Present findings and recommendations to stakeholders through visual storytelling and report...

Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation ...

About The Role Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Oracle Database Administration (DBA) Good to have skills : AAAP (Accenture Advanced Analy...

Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning

Salary : 30 to 45 LPA Exp: 7 to 12 years Location :Mumbai Only Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ 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 machin...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai 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 a...

Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained re...

Role: Data scientist About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use te...

2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc. Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc. Strong language coding skills required in Python/pyspark. Knowledge & experience in SQL database & MLOps. Good to have knowled...

Performs validation of Artificial Intelligence (AI), Machine Learning (ML) and Generative AI (GenAI) models o Independently validate AI/ML and GenAI models across supervised, unsupervised, reinforcement learning and foundation model categories. o Evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles. o Assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques. Has solid understanding of risks that are posed by AI/ML models (Fairness, Privacy, Transparency and Explainability, etc.) Has familiarity in financial models used in portfolio analysis, asset...

Experience: 1113 years in Data Science/AI/ML (with strong BFSI or other data-rich industry expertise) Were seeking trailblazers who go beyond building models leaders who drive AI strategy, GenAI adoption, agentic automation, and enterprise-scale transformation with measurable business outcomes. Role Overview As a Principal Data Scientist, you will set the direction for AI/ML innovation, embedding Generative AI and Agentic AI systems into BFSI solutions that transform how enterprises operate. Youll collaborate with executive stakeholders, mentor high-performing teams, and translate cutting-edge research into enterprise-ready AI platforms that deliver measurable ROI. What makes you right for t...

8+ years of experience in Life Science / Pharmacy Hands on experience in statistical programming languages like R, Python, Good to have experience in Thingworx analytics and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators etc. Good knowledge of machine learning methods like k-Nearest neighbors, nave bayes, SVM and decision forests. R OR Python + ML + Regression + classification + clustering + SVM (support vector machine) + decision trees / random forest.

This is for 6 Months Extendable Contract. Location: Remote Role & responsibilities Desirable to have 5-10 years of programming experience in using Python/Pyspark libraries / machine learning libraries with sound understanding of ML concepts/ Probabilistic Models, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter tuning, good knowledge of constraint Optimization, and Deep Learning models Strong experience in developing and maintaining machine learning models/sound knowledge of Regression/ Logistic Regression, Random Forest, XGBoost, SVM, Clustering etc. Explore data and communicate insights clearly to non-technical as well as technical audience. Expertise in machine lear...

We are seeking a talented individual to join our Claims team at Marsh McLennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. We will count on you to: Lead in-depth loss assessments that ensure accurate, data-driven claim evaluations for faster and more effective resolutions. Act as a second-line advocate, capable of progressing large, complex claims with significantly less direct oversight from US-based advocates. Provide strategic loss insights to the Operations team, enabling timely and informed client communications. Own compliance workflows including e-filing, correspondence tracking, and adherence to...

As a Manager Customer Facing Effectiveness within our global Go-To-Market-Capabilities (GTMC) Team, youll design, manage, and analyze data-driven incentive plans, support localization by allocating sales targets, manage incentive simulations based on global policies, track performance using KPIs for sales effectiveness, and ensure global alignment of incentive processes within the Customer Facing Hub. Main responsibilities: Design Incentives : Design, manage, and analyze incentive plans and focus on setting data-driven sales targets. Lead customer profiling and segmentation analysis ensuring a robust analysis to define target segments that are aligned with business objectives. Lead resource ...

Key Responsibilities: Design, develop, and maintain robust and scalable analytics platforms and data pipelines. Build backend services and APIs to support data access, aggregation, and visualization. Collaborate with product managers, analysts, and data scientists to understand requirements and deliver end-to-end solutions. Optimize data systems for performance, scalability, and cost-efficiency. Implement data quality, security, and governance best practices. Troubleshoot production issues and ensure reliability of analytics systems. We are looking for 4 to 9 years of experience. Relevant Experience in - Advanced analytics, Statistics or Predictive Modelling includingSupervised (Linear Regre...

Job Summary: The Data Science Manager will lead teams in designing and implementing advanced analytics and AI solutions for clients across industries. The role involves managing a team of data scientists, collaborating with business and technology stakeholders, and delivering insights that drive strategic decision-making. The candidate will work on data-driven initiatives spanning predictive modeling, machine learning, and AI-enabled solutions. Key Responsibilities: Lead and mentor a team of data scientists, analysts, and ML engineers . Drive end-to-end data science projects including problem definition, data collection, model development, and deployment. Collaborate with clients and interna...

Roles and Responsibility Develop and implement spend analytics strategies to drive business growth and improvement. Collaborate with cross-functional teams to identify areas of cost reduction and process optimization. Analyze large datasets to extract insights on spending trends and patterns. Design and maintain dashboards and reports to track key performance indicators. Provide data-driven recommendations to stakeholders on strategic initiatives. Ensure compliance with regulatory requirements and internal policies. Job Requirements Strong understanding of spend analytics principles and practices. Experience with data analysis tools such as SQL and Tableau. Excellent communication and proble...