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As an Associate Principal Engineer in Data Science, the role involves writing and reviewing high-quality code, translating business requirements into technical designs, guiding and mentoring team members, ensuring adherence to best practices, and developing architecture for applications. Interaction with clients to identify solutions and perform POCs for technology validation are key responsibilities.
The Senior Staff Engineer in Data Science is responsible for writing and reviewing high-quality code, designing technical solutions for client needs, mentoring team members, and ensuring best practices in software architecture and design. They should possess strong data science skills, including data analysis, SQL, and expertise in machine learning and cloud technologies.
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
As an AI & GenAI Data Scientist at PwC, you'll leverage advanced analytics and machine learning to develop predictive models and data visualizations, transforming large datasets into actionable insights. You'll collaborate with clients to solve complex business issues and drive data-driven decision making, maintaining high performance while adapting to diverse challenges.
As an AI & GenAI Data Scientist at PwC, you will leverage advanced analytics and machine learning to develop predictive models, conduct statistical analysis, and create data visualizations. You will work collaboratively with clients to solve complex business problems, aiming to transform data into actionable insights.
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As an AI & GenAI Data Scientist at PwC, you will develop and implement AI solutions, conduct statistical analyses, and create data visualizations. You will work with clients to analyze their business needs, build predictive models, and employ machine learning techniques to generate actionable insights.
The Senior Data Scientist will work within the Risk & Fraud organization, partnering with various teams to analyze large datasets, design A/B experiments, and build insights to improve customer experiences. Responsibilities include creating data visualizations, monitoring metrics for strategy, and writing code to process data effectively.
The role involves leveraging advanced analytics and machine learning techniques to develop predictive models, conduct statistical analyses, and create data visualizations. It requires collaboration with clients to identify business problems and design AI and Generative AI solutions that drive decision making and business growth.
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The Principal Data Scientist will lead the Data Science function focused on customer retention and growth, developing ML models, guiding a team, and collaborating with various departments to solve business problems using data science and analytics. This role will also involve optimizing ML model performance and enhancing enterprise-wide analysis tools.
The Research Associate will analyze large datasets of loan data to improve investment management and revenue growth. Responsibilities include creating term sheets, analyzing lending partners, researching portfolio performance, and developing templates for data processing.
As an AI & GenAI Data Scientist, you will leverage advanced analytics and machine learning techniques to extract insights from large datasets, develop predictive models, conduct statistical analyses, and create data visualisations to solve complex business problems.
The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and design A/B tests. They will collaborate with engineers and stakeholders to deploy models and communicate their findings through documentation and visualizations.
As an AI & GenAI Data Scientist at PwC, you will leverage advanced analytics and machine learning to transform large datasets into actionable insights. Your role will involve developing predictive models, conducting statistical analysis, and creating data visualizations to solve business challenges while collaborating with clients to identify and address their needs.
The Senior Data Scientist will lead analytic projects, partnering with internal and external teams to deliver predictive models and business intelligence solutions. Responsibilities include project ownership from design to implementation, providing insights through presentations, and developing analytic solutions using programming languages. Experience in financial services and the insurance industry is desired.
The AI & GenAI Data Scientist will leverage machine learning and advanced analytics to transform large datasets into actionable insights. Responsibilities include developing predictive models, conducting statistical analysis, and creating data visualisations, while collaborating with clients to solve complex business problems.
As a Staff Data Scientist, you will lead science projects from inception to deployment, working with teams to develop and optimize machine learning models and pipelines, and communicate findings to stakeholders. Your role involves advanced mathematical application, the development of AI solutions, and model evaluations.
As a Principal Data Scientist, you will lead the development of AI/ML solutions, partnering with cross-functional teams to enhance Capital One's digital channels. You will build machine learning models, leverage technologies like Python and AWS to analyze data, and apply innovative methods to improve customer experiences.
The Data Scientist II will build and scale econometric models for Disney Streaming Services, quantify marketing ROI, support strategic analysis, and automate long-term marketing mix modeling. The role requires substantial quantitative skills and the ability to mentor analysts while providing insights to drive marketing efficiency.
As a Principal Data Scientist, you'll partner with a cross-functional team to deliver AI/ML solutions for Capital One's mobile app and digital channels, utilizing technologies like Python and AWS to build and implement machine learning models, and translating complex data insights into business goals.
The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.
The VP of Data and Insights will lead the transformation of the Philadelphia Inquirer into a data-informed organization by overseeing data teams, developing data strategies, and enhancing operational capabilities through data insights.
The Senior Data Scientist will innovate in operations performance, forecasting, and data analysis for dispatching efficacy. Responsibilities include managing end-to-end data science projects, validating results, and communicating insights effectively to various stakeholders.
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