551 to 575 of 1,938 Data Scientist Jobs

Torch Technologies is seeking a highly analytical and mathematically mature Apprentice Data Scientist/Machine Learning Engineer to join our growing AI/ML team supporting advanced missile simulation, test planning, and defense system optimization. This role offers a unique opportunity to learn directly under a lead mathematician and AI engineer working at the intersection of machine learning … system modeling, and formal analysis. Candidates will focus on understanding data structures, modeling assumptions, and building explainable and reliable AI systems for complex environments. Ideal applicants are rigorous thinkers who approach problems with precision and creativity, using mathematics, machine learning, and statistical methods. Key Responsibilities: Collaborate with the lead engineer to develop and analyze machine learning models for simulation … teams to ensure integration and connectivity across databases and systems. Communicate findings through clear, user-friendly reports and creative storytelling that is broadly understandable. Think critically about system structure, data dependencies, and modeling assumptions. Job Requirements Bachelor's or Master's degree in Mathematics; other degrees such as Computer Science, Physics, or Philosophy (logic-focused) considered if demonstrating strong More ❯

your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc). Bumble is looking for a Data Scientist to join our team and play a key role in fulfilling our mission to bring people closer to love. Concretely, this means exploring our large datasets, developing … of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in data science and advanced analytics along with a passion for tech. THE RECOMMENDATIONS TEAM We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate … similar quantitative discipline like economics or social science Strong statistical modelling background - hypotheses testing, inference, regressions, random variables Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels Strong SQL experience including analytic functions, performance tuning, data More ❯

be part of a team that is helping the government solve major national security challenges in the space domain? We need your help. Our team is looking for a data scientist with a focus on machine learning and advanced analytical approaches within the Space Domain Awareness mission area. You will work with software engineers and space analysts to … develop state-of-the-art solution in pattern of life, anomaly detection, and predictive analysis. Required Skills Bachelor's degree in Data Science, Machine Learning, Computer Science, Mathematics or a related technical field with at least 3 years technical experience. Relevant experience may be accepted in place of a degree Experience with various machine learning libraries (i.e. Apache Spark … Scikit-learn, XGBoost, etc.) Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience with Python, R, and/or Java programming languages Experience implementing the data science process, developing experiments, reporting and explaining results More ❯

Position Description: CGI Federal is looking for a Data Scientist to join our dynamic team focused on solving complex data challenges to drive decision-making and enhance operational efficiency. You will be responsible for extract actionable insights from vast datasets, build predictive models, and deliver impactful solutions that meet our clients needs. In this role, you will … collaborate closely with stakeholders to ensure that data-driven insights influence strategic decisions and deliver business value. This position is located in Arlington, VA. Your future duties and responsibilities: - Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight. - Analyze complex datasets, detect trends and patterns … develop conclusions, and provide recommendations for data visualizations and reporting. - Verify data quality and/or ensure it via data cleaning for accuracy and completeness. - Perform statistical analysis and utilize results to improve the model and data pipeline. - Collaborate with analytics teams and SMEs to provide recommendations for data solutions that encourage data-driven More ❯

is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization … billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are seeking a talented and driven individual to accelerate our efforts and contribute to LinkedIn's data-centric culture. In this … role, you will tackle a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. Leveraging data and analysis, you will address critical challenges within our infrastructure organization, shaping product strategy and guiding investment decisions with data-driven insights. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure More ❯

zone differences will not affect your work-life balance thanks to the async nature of our ways of working. About the role: We are seeking an experienced and passionate data scientist to work in the Insights team. You will be working alongside Data Scientist and Data Engineers. You will lead analytics and insights of Goodnotes … explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Drive proactive analysis/research into high-potential green fields. Ensure all teams have insight to data and can answer their own first-order questions. Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials. Attribute impact to product … features and marketing campaigns. Perform basic ETL tasks to model new dimensions and facts in our data lakehouse. The skills you will need to be successful in the above: 6+ years of experience in data science and analytics space Hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and More ❯

Policy Expert - Senior Data Scientist - Retail Price Optimisation - Motor Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we've won … Hear from our team about what it's like working at Policy Expert • About Pricing: We're at the start of an exciting transformation. With bold investment in pricing, data, and technology, we're building a new Retail Price Optimisation team to redefine how we make pricing decisions. By combining advanced analytics, machine learning, rich data, and modern … Optimisation team: We're seeking bright, ambitious individuals eager to make a meaningful impact and accelerate their growth. You'll be supported by experienced leaders in retail pricing and data science who are deeply committed to your development and success. As a lean, hands-on team, we offer a unique opportunity to take on responsibility early, drive real change More ❯

Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. TEAM The cloud and data engineering team accelerates autonomous driving by providing access to the data collected by our fleet of autonomous and non-autonomous vehicles, and provides the core technology to mine … interesting and rare events out of the petabytes of data we collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by … identifying rare and interesting real-world driving situations. We are a distributed team, working in the UK, US and JP. WHO ARE WE LOOKING FOR? The Cloud and Data Engineering team is looking for data science engineers who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Senior Data Scientist/AI Engineer About The Job You're Considering We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We … record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. We seek individuals to … inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

Bing, Yahoo, DuckDuckGo, Baidu and Yandex combined! The Mission We are building the next generation of AI powered search products. We make AI explainable and we help customers make data driven decisions through. Work with the product function to guide product development through use of analytics and experimentation. You will be an integral part of building the future of … AI search. If you’re passionate about turning product data into actionable insights and driving product success, we’d love to hear from you. The Opportunity We are seeking a skilled Staff Data Scientist to lead the analytics efforts behind our product development. In this role, you will take ownership of product analytics across the entire lifecycle … from gathering and analysing user behaviour data to creating actionable recommendations that drive product decisions. The ideal candidate will have a deep understanding of product analytics, user experience, and the ability to transform data into clear insights that influence product strategy and development. The mission of Data Scientists is to improve customer and business outcomes through better More ❯

Job Description Join our team as a Data Science Associate, where you'll solve complex problems and develop tools and models to benefit internal and external clients. Collaborate with data science, product development, and technical teams to build and maintain code and documentation. This role offers growth opportunities in business and technical skills, contributing to the usability of … our platform and its value proposition. As a Data Science Associate within our Data Science team, you will be responsible for developing tools using algorithmic, statistical, and machine learning methodologies. You will leverage the latest cloud technology to conduct large-scale analysis, automate tasks, and create models. In collaboration with our product management and data engineering teams … Python. Write code that can be maintained and extended by other analysts. Develop models using a wide variety of techniques (statistical methods, classic ML, LLMs). Work closely with data science, product management, and data engineering groups. Continuously learn to keep up with industry trends. Required Qualifications, Capabilities, and Skills: Programming experience in at least one commonly used More ❯

Description What We're Looking For: We are looking for a passionate Data Scientist specializing in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions. Through … years working experience OR a Master's Degree in Computer Science or a related field, with 0-2 years working experience. Programming Language: Proficiency in Python. Solid understanding of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's … most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll … passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science More ❯

you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely … with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring … effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's … most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll … passionate people to apply machine learning and statistical technqiues to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science More ❯

will enjoy end-to-end ownership of projects working closely with multiple teams and stakeholders to define solutions supporting the lodging business planning and growth. From problem framing to data pulling/wrangling, model structuring, analysis and visualization building, and insights sharing with stakeholders, you will develop strategic recommendations to enhance EG's travelers experience and hotel partners performance. … be able to manage delivery of high-quality outputs in a dynamic work environment with overlapping deadlines. If you are self-driven, curious, and have demonstrated success in using data analysis to drive innovation and business growth, this position is for you! In this role, you will: Problem Framing & Solving You will frame business challenges as an analytical problem … problem considering the underlying assumptions. You will Pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask Data & Visualization You will extract data from multiple data sources and combine them into the required datasets for model building or analytics. You will build simple and powerful More ❯

About The Job You're Considering We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a proven track record of success across a wide range of public and private sector clients with whom we have built long-standing relationships of … record check (known as Disclosure and Barring Service) Your Role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed at scale. We seek individuals to … inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

Job Description Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for capacity planning, transportation and fulfillment network? If so, then this is the job for you. Our team is responsible for creating core analytics tech capabilities, platforms development … and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, scientists, business intelligence engineers and product managers using rigorous … quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models More ❯

Data Lead | Senior Data Engineer/Scientist Join to apply for the Data Lead | Senior Data Engineer/Scientist role at Judge.me Location: Shoreditch (Hybrid - Tue & Thu Office Days) Salary Bracket: £90 - £115k Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap—commerce … More than 500k shops across 140+ countries use our platform Massive Reach: We process over 70 million orders monthly, generating 2 million+ verified buyer reviews The Opportunity As our Data Lead, you'll lead the development of our Trust Optimisation Platform—a critical initiative to unlock insights from our vast review dataset to help merchants improve their e-commerce … trust metrics. Your Mission: Do More With Less You'll be instrumental in: Strategic Data Leadership: Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development: Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture: Build scalable systems that efficiently process our extensive More ❯