Staff Data Scientist (Fraud & Risk) in Noida, India

... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...

As our Data Scientist extraordinaire, you'll be wielding the mighty powers of numbers and machine learning like a superhero! Your mission To craft mind-blowing predictive models and algorithms that will conquer complex business challenges and leave a global footprint of awesome impact. You'll be joining forces with a league ...

LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...

based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide ...

... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...

LOCATION : Gurgaon, Noida, Bangalore, Pune, HyderabadJOB OBJECTIVE : Data Scientist with 3+ years of experience in developing scalable Machine Learning models and their https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development ...

... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...

... obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work ...

... solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, ...

Private Hourly pay Full time

... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...

Principal Data Scientist - 7+ Years - BangaloreWe are hiring a Principal - Data Scientist with GenAI for a leading global AI and analytics organization. The role offers an opportunity to work on complex business problems and develop, implement and deploy Machine Learning and Generative AI solutions across https://jobeax.com/link/iWvc74qOaz1N3AKd ...

... data science. - Model Fine-Tuning & Adaptation: Design and execute experiments to fine-tune or customize foundational models using domain-specific and internal datasets. - Applied Generative AI Solutions: Leverage generative AI to enhance traditional machine learning use cases such as risk modeling, fraud detection, and customer ...

... field (Mathematics, Statistics, Econometrics, Computer Science, Physics, or Operations Research). Experience: 4 to 6 years of industry experience working as a Data Scientist or Machine Learning Engineer with a portfolio of complex multimodal projects. Honeywell Technologies is a global, pure-play automation company with ...

Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...

Research and Development Business Unit: Finance Experience Level: Experienced Professionals The Commercial Data Science (CDS) team partners with Shell's business units to deliver data-driven solutions through deep process understanding and technical excellence. As a Data Scientist within the Digital Process Twin (DPT) portfolio, ...

We are building a team around a Senior Data Scientist role focused on measurable AI outcomes through statistical analysis, machine learning, and NLP. You will work across the full lifecycle, from preparing data to deploying models, coordinating closely with multiple stakeholders. Responsibilities Deliver AI solutions such ...

... sustainability sectors. Position: Senior Android Developer Develop and deploy satellite-based crop classification models using multispectral, hyperspectral, and SAR datasets (Sentinel-1/2, Landsat, NISAR). - Design Earth Engine Python API workflows for cropland segmentation, sowing date estimation, acreage mapping, and in-season ...

Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...

... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...