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The AI & GenAI Data Scientist will leverage advanced analytics to extract insights from large datasets, develop and implement AI and GenAI solutions, collaborate with clients to understand their business needs, and manage the daily operations of a global data and analytics team.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytical techniques to extract insights from large datasets, develop AI solutions, model development, and collaborate closely with clients to address complex business problems and enhance operations.
As a Senior Associate in AI and GenAI Data Science at PwC, you will leverage advanced analytics techniques to extract insights from large datasets, develop and implement AI solutions, collaborate with clients to address complex business challenges, and support the management of a global data analytics team. You'll play a key role in the design and solutioning of AI architectures, utilizing both structured and unstructured data.
As a Data Scientist at PwC, you will utilize advanced analytical techniques to derive insights from large datasets, support clients in making data-driven decisions, and develop AI and GenAI solutions. You'll work on analytical model development, client collaboration for problem-solving, and managing a global data and analytics team on various engagements.
As a Senior Associate Data Scientist at PwC, you will leverage advanced analytics techniques to extract insights from large datasets, develop and implement AI and GenAI solutions, and collaborate with clients to solve complex business problems. Your role involves data manipulation, model development, and managing client engagements while ensuring adherence to professional standards.
This role involves leveraging advanced analytics techniques to extract insights from large datasets, supporting clients in addressing complex business problems with AI and Generative AI solutions. Responsibilities include model development, data processing, and collaboration with client teams to design appropriate analytical approaches.
As a Senior Manager of Data Science at Oscar, you will oversee a team of Data Scientists, translating business goals into strategic plans, developing data models, and improving clinical operations by utilizing advanced analytics and statistical methods. You will also ensure compliance with relevant laws while collaborating with various teams.
The role involves leveraging data analytics techniques to derive insights from large datasets and drive data-driven decision-making. Key responsibilities include developing AI and GenAI solutions, collaborating with clients to understand their business problems, designing AI architectures, processing various data types, and supporting daily analytics operations.
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As a Data Scientist, you will deliver data science solutions for Risk Management within Asset Management, focusing on risk transparency, data integration, and stakeholder engagement. Responsibilities include managing projects, designing analytics solutions, and communicating findings to leadership. Your role supports continuous improvement of processes and technology adoption.
The AI & GenAI Data Scientist will leverage advanced analytical techniques and programming skills to extract insights from large datasets. Responsibilities include building AI solutions, documenting business processes, collaborating with clients to understand their needs, designing AI architectures, processing data for LLMs, and managing operations of a global team in analytics.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics techniques to extract insights from complex datasets, build AI solutions, collaborate with client teams, and design AI architectures. You will also manage operations of a global analytics team and provide feedback on developed models.
As a Senior Associate Data Scientist at PwC, you will utilize advanced analytics to extract insights from large datasets, develop AI solutions including analytical models, and collaborate with clients to solve complex business problems. Responsibilities include AI architecture design, processing structured and unstructured data, and supporting a global analytics team.
As a Staff Data Scientist at Empower, you will develop risk models and credit policies to drive competitive underwriting practices. You will lead teams to analyze consumer behaviors and adapt solutions for the Latin American market, enhancing customer financial well-being. This role is pivotal for launching innovative financial products and requires tackling complex geographic challenges.
The Senior Data Science Engineer will design, develop, and maintain bioinformatics pipelines and the LIMS system in oncology research, ensuring high-quality data supports clinical trials and further research. This role involves collaboration with lab associates and clinical trial data management, integrating new data types and coordinating with IT.
The role involves developing and implementing a strategic roadmap for marketing analytics, defining marketing attribution goals, analyzing complex data sets, and providing insights to optimize marketing strategies. The position requires collaboration across teams and thought leadership on marketplace trends.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Staff Data Scientist is responsible for developing and implementing machine learning models and analytics to drive business growth and improve customer financial situations. This role requires close collaboration with product, tech, and finance teams, and involves the entire model development process from conception to deployment, focusing on credit risk models to enhance approval rates and reduce loss rates.
As a Data Scientist in the Generative AI Systems team, you will develop cutting-edge AI solutions for text and speech processing. Collaborating with cross-functional teams, you'll leverage technologies to extract insights from large datasets and build machine learning models for various applications.
As a Senior Associate Data Scientist at PwC, you will leverage advanced analytics to extract insights from data, develop AI and GenAI solutions, and collaborate with clients to solve complex business problems. Responsibilities include model development, business process analysis, and managing daily operations of the analytics team.
The AI & GenAI Data Scientist will utilize advanced analytics and data manipulation techniques to extract insights from large datasets. Responsibilities include developing AI solutions, collaborating with clients, designing AI architectures, and managing data engineering efforts. The role requires strong analytical skills and effective communication to influence business decisions.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
As a Senior Associate in AI & GenerAI Data Science at PwC, you will focus on leveraging advanced analytics to optimize operations for clients, developing AI solutions, interpreting data to inform insights, and collaborating with teams to address complex business problems. Your role will involve model development, prompt engineering, and integration of AI architectures.
As a Data Science Consultant, you will support activities within the Data Science Business Unit, collaborate with stakeholders to understand data needs, analyze structured and unstructured data, build predictive models and machine-learning algorithms, and communicate findings through various mediums to propose solutions to business challenges.
The Data Science Manager will leverage advanced analytics to uncover trends in music consumption, create analytical tools and models, and communicate insights to marketing and commercial teams. Responsibilities include data extraction and analysis using various methods, solving business questions, and collaborating with cross-functional teams.
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