324 Linear Regression Jobs - Page 7

Collect, clean, and analyze large datasets from multiple sources. Build and deploy machine learning and statistical models to solve business challenges. Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extract knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. Qualifications 2-4...

3 - 5 years of analytics experience in Retail/CPG industry covering at least 2 of the below mentioned areas: Customer (insights/trends) Campaigns/CRM Loyalty Marketing To define, develop & support analytical solutions, along with extracting insights from data for improving business decisions of various retail functions (Ex. Marketing, Merchandising, Retail etc.) The recruit will be directly working with the on-shore Analytics team and with key business stakeholders of retail functions in each business unit to understand their business problems around merchandising and help deliver data-driven decision making. Analyze data o evaluate existing decisions framework and apply analytical technique...

Position: Data Science Trainer Salary : As per company standards Experience : 1yr- 5yrs WORK FROM OFFICE MANDATORY (Full time, permanent) Notice Period : immediate Location :Shivaji Nagar, Chinchwad Job Description : Candidates must have the ability to take both theory and practical sessions. Should have excellent knowledge on Python Data Science technologies. Should be able to teach Machine learning, deep learning, artificial Intelligence, SQL, Django Able to resolve students' queries. We expect good communication and presentation skills. Able to explain complex subjects in a clear and interesting way. Dynamic personality. Should be flexible to conduct Weekend Batches as well as Weekday Bat...

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigat...

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are ...

Python RWe are seeking a skilled Data Scientist proficient in Python and R to join our team The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well structured, and testable code Key Responsibilities: Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis Implement models using Python and relevant libraries such as scikit learn, pandas, and numpy Apply machine learning techniques such as...

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...

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 innovativ...

About the role: This is a unique opportunity to join our fast-growing Data Science team. In the role of Data Scientist, you will execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. What you will do: Deliver modeling and analytical insights to inform strategic and operational initiatives Conduct all phases of the model development process. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, m...

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML res...

3-5 years experience of industry experience in developing data science models and solutions. Able to quickly pick up new programming languages, technologies, and frameworks Strong understanding of data structures and algorithms Ability to work in a start-up environment with a do it yourself attitude. Skill and Expertise Expert level proficiency in programming language Python/SQL. Working knowledge of Relational SQL and NoSQL databases, including Postgres , Redshift Exposure to open source tools & working on cloud platforms like AWS and Azure and being able to use their tools like Athena, Sagemaker, machine learning libraries is an added advantage Exposure to big data processing technologies ...

Salary : 45 to 60LPA Exp: 12 to 20 years Location : Remote Notice: Immediate to 30 days..!! Roles & responsibilities: 10+ 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 l...

Job Summary: The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: 1. Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performanc...

In this role, you will be required to build and develop advanced analytics capabilities and assets/accelerators. You will be responsible for all aspects of end-to-end Workforce Management capability creation, including Operations (forecasting, capacity planning, staffing, scheduling, real-time monitoring, and operations management reporting and analysis), Software Configuration, as well as Insight generation. It will be your responsibility to build and update Standard Operating Procedures (SOPs) for Workforce Management with appropriate participation from multiple Operations and Analytics teams. You will need to develop a forecasting, capacity planning, and scheduling strategy and framework ...

The Manager - Data Science Product plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts at Majid Al Futtaim Retail. The focus is on spearheading the Advanced Analytics transformation within the organization. As part of the Retail Analytics Unit, the Manager will contribute to building and developing the analytics talent necessary to support the advanced analytics agenda. Team members are encouraged to shape the unit's trajectory and bring their ideas to life. The Manager will be instrumental in enhancing the Advanced Analytics value proposition in alignment with Majid Al Futtaim's digital ...

The opportunity: Support decision-making based on market data, collaborating on nurturing a data-driven culture. Gather, interpret data and analyze results using analytics, research methodologies and statistical techniques, assessing BU and GPGs needs, playing a key role during the M&S yearly cycle (mainly Market Input Market Outlook -MIMO, Strategic Planning, Global Target Setting -GTS). How you'll make an impact: Being the person of reference in the GPG, together with the GPMM, on the market intelligence and analytical tools, dashboards, excel-based files, SalesBI/ PowerBI /STRATOS/Anaplan/MIS. GPG Mekko/STRATOS preparation, production and alignment for the main Hitachi Energy Global proce...

You should have 5 to 7 years of experience in Data Science or Machine Learning roles. Your proven ability should cover working on end-to-end ML projects, from research to production. It is essential to conduct in-depth machine learning research and stay updated with state-of-the-art advancements, including reading, interpreting, and implementing research papers, especially in the Generative AI domain. Your responsibilities will also include mentoring and guiding junior data scientists and interns in executing real-world projects. You should be able to design and build machine learning and deep learning models to solve complex business challenges. Working collaboratively across teams to turn ...

The Manager - Data Science Product at Majid Al Futtaim Retail in India plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts. This position involves spearheading the Advanced Analytics transformation within the organization. The Manager will contribute to building analytics talent to support the advanced analytics agenda and shape the trajectory of the Retail Analytics Unit. By leveraging quantitative analysis, data mining, and data manipulation, the Manager will design and implement data models, develop advanced statistical models, and enhance algorithms to address Retail Analytics problem...

The TradeFinder Quant Analyst position based in Mumbai, India, falls under the Group Strategic Analytics (GSA) team at Deutsche Bank. The GSA team plays a crucial role in integrating analytics and technology across various units of the bank, including Investment Bank, Corporate Bank, and Risk and Control functions. The team focuses on developing a scalable and flexible Front Office pricing and risk management system that ensures consistency in analytics and technology platform to prevent arbitrage within the bank. As a TradeFinder Quant Analyst, your key responsibilities will include collaborating with global teams on quantitative and regulatory projects, understanding business problems, pro...

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future through the delivery of impactful outcomes. With a workforce of over 125,000 individuals spanning across 30+ countries, we are inspired by our innate curiosity, entrepreneurial agility, and commitment to creating enduring value for our clients. Our purpose, driven by the relentless pursuit of a world that works better for people, empowers us to serve and transform major enterprises, including the Fortune Global 500, leveraging our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI. We are currently seeking applications for the posi...

You will be heading the Data Analytics and AI team within the Enterprise Technology Group with a primary purpose of leading and developing a robust team focused on driving the company towards a data-first and data-driven organization. Your role will involve delivering and maintaining smart data-driven solutions essential for growth and operational efficiency. Accelerating the adoption and implementation of AI solutions to enhance innovation and competitive advantage will be a key aspect. Managing all aspects of new data analytics and AI projects from inception to delivery, including day-to-day operations, will be crucial, with a strong emphasis on assessing business value, ROI, and cost redu...

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficien...

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 ...

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 valid...