651 to 675 of 2,592 Permanent Data Science Jobs

ensures our products serve millions of customers better, fostering trust and engagement through unified and consistent identity solutions. If you're passionate about product development, obsessed with understanding customer data (including identity, profile, servicing information, account information etc.) and its role in delivering exceptional experiences, and driven to align teams to meet these goals, we want to hear from … execute the vision, strategy, and roadmap for Customer Profile Management. In this role, you will lead the development of OneMain's Customer Domain, connecting various customer product and personal data into a unified, trusted enterprise solution. Key Responsibilities: Vision and Strategy: Define and drive the vision, strategy, and roadmap for Customer Profile Management, aligning initiatives with business objectives and … experiences. Customer Domain Graph Development: Lead the design and implementation of the Customer Domain Graph, consolidating diverse identifiers into a reliable, unified customer profile. Cross-Functional Collaboration: Partner with data engineering, analytics, privacy, and security teams to design scalable customer profile solutions. Collaborate with stakeholders across marketing, customer service, and product development to integrate and leverage these capabilities. Use More ❯

s Security. Job Description: We are seeking a highly skilled Microsoft SharePoint Administrator & Developer with a passion for innovation and a strong ability to leverage Power BI for impactful data visualization. The ideal candidate will be responsible for the administration, development, and customization of SharePoint environments while also utilizing Power BI to create meaningful reports and dashboards. This role … requires a forward-thinking professional who can streamline workflows, enhance collaboration, and translate complex data into actionable insights. The Microsoft SharePoint Administrator & Developer shall possess the following capabilities: Key Responsibilities: SharePoint Administration & Development: Manage and maintain SharePoint environments (Online, On-Premise, or Hybrid). Develop, configure, and customize SharePoint sites, lists, libraries, workflows, and permissions. Implement SharePoint solutions using … issues, ensuring system stability and security. Develop and enforce SharePoint governance policies, best practices, and documentation. Integrate SharePoint with other Microsoft 365 applications and third-party tools. Power BI & Data Visualization: Design and develop Power BI dashboards and reports that transform raw data into insightful visual artifacts. Connect and integrate data from multiple sources, including SharePoint, SQL More ❯

Morningstar: Morningstar is a leading global provider of independent investment insights, serving both individual and institutional investors across public and private markets. Our offerings include a wide range of data, research, and investment management services, with $300+ billion in assets under management. Operating in 32 countries, Morningstar supports financial advisors, asset managers, retirement plan providers, and more with comprehensive … a highly skilled Business Intelligence (BI) Analyst with a strong background in finance to join our dynamic team. The ideal candidate will possess deep expertise in financial analysis, reporting, data visualization, and documentation, with proficiency in using Tableau. This role is critical in guiding decisions through data-driven insights across the organization by providing actionable insights, comprehensive financial … reporting, and well-documented data sources and definitions. What You'll Do Financial Data Review: Collect, review, and interpret data to support strategic decision-making. Perform in-depth financial modellng, forecasting, and variance analysis. Identify trends, risks, and opportunities within our datasets. Reporting & Visualization: Develop, maintain, and optimize Tableau dashboards to visualize complex financial data. Create and More ❯

Japan Operations The Amazon ARTS (APEX-RoW Technology Solutions) team is looking for a Business Intelligence Engineer to optimize in one of the world's largest and most complex data warehouse environments. You are expected being passionate about working with huge database and someone who loves to bring datasets together to create dashboards and business reports. You are required … to have deep expertise in creation and management of datasets and optimization of database. You should be expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. You are required to have excellent business and communication skills to be able to work with business stakeholders to develop business report …/dashboard and to support building data pipeline. You will own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training. This role offers an opportunity to make a significant impact on our organization's More ❯

of our offers generating systems and associated architecture. You'll build and improve critical systems, shape iwoca's technical vision, and collaborate with cross-functional teams to deliver innovative, data-driven solutions. The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't … s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … offer terms. The team continuously experiments with new product ideas and ensures these are delivered through an intuitive, high-performing digital experience. This involves close collaboration across engineering, product, data, and design to align offer strategy with customer needs and business goals. The role You'll play a key role in realising iwoca's long-term vision for a More ❯

Director, Adobe Real-Time CDP Product Management is part of the Martech function within the Enterprise Marketing Strategy & Demand Generation Centre of Excellence, reporting to the Director of Marketing Data Enablement & Automation. This is a business-facing role embedded in the Marketing organization, and requires close coordination with Corporate Technology counterparts who oversee Martech, Automation, Analytics, Data Architecture … Integrations, and Governance. The CDP product lead partners with campaign teams, analytics, data ops, and IT to operationalize audience-centric marketing through Adobe Experience Platform (AEP), ensuring a unified customer view and activating data across channels. Responsibilities: Lead the strategy, roadmap, and hands-on implementation of Adobe Experience Platform (AEP) Real-Time CDP. Manage CDP architecture, administration, and … data governance documentation. Partner with Martech engineers and IT to manage and optimize data pipelines into and out of the CDP. Drive integration of CDP with Adobe Target, Analytics, CRM, and advertising platforms. Guide and support audience segmentation, identity resolution, and real-time profile activation. Translate business needs into CDP use cases, from acquisition through retention. Collaborate with More ❯

achieve success and offer an inclusive and collaborative culture where your voice is valued. Our Analytics team is changing the culture of Amex GBT, helping our commercial teams make data-driven decisions. As a Sr. Analytics Manager, you'll bring your experience in strategy and communication, and collaborate with analysts, data scientists, and data engineers to bring … data to life. This is a phenomenal opportunity for those who wish to grow, develop, and innovate as we guide the future of the business travel industry. What You'll Do Work directly with internal partners in commercial to define problems, recommend analytical approaches, and deliver solutions. Act as a thought partner in commercial analytics, guiding the effective use … of data across the customer lifecycle Translate customer feedback into commercial insights to improve client satisfaction and retention Translate complex analytical findings into compelling, actionable insights for senior executives and non-technical audiences Work with data governance to enhance data availability, quality and accessibility Tell compelling stories with data that help drive business decisions What We More ❯

AI project objectives, requirements, and timelines. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects. Drive data-driven decision-making … Ensure the security, scalability, and efficiency of AI solutions. Lead research efforts to explore and integrate cutting-edge AI techniques. Requirements: Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field. Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects. Proficiency in AI and … machine learning frameworks and programming languages (e.g., Python). Strong expertise in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving and critical-thinking skills. Effective leadership, communication, and team management abilities. A passion for staying at the forefront of AI and machine learning advancements. Benefits: Fast moving, challenging and unique business problems. Attractive remuneration and performance incentives. More ❯

are seeking a Machine Learning Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place. You are willing to learn new skills, eager to stay up to date, and to work with other domain experts outside … What you'll do Proactively analyze potential detection gaps, propose projects and ideas, and define and implement a plan to make them real. Analyze large datasets to extract complex data patterns. Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats. You will have the opportunity to build or enhance machine … Publish internal and external reports, papers and blog posts detailing your research findings. Background in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world datasets that require pre-processing More ❯

thinking and impactful leader to join our People Enablement team as the Director, People Analytics & AI. A newly created role at Arm, designed to accelerate our People Group's data maturity and leverage AI and analytics to drive insight, effectiveness, and excellent experiences for our people. This role will sit at the heart of Arm's journey to becoming … a more data- and AI-driven People function! This role has two core responsibilities Leading our People Analytics team - driving insight and decision-making through data and storytelling. Owning the People Group's roadmap for AI - embedding AI and automation into everything we do to transform the people experience and our efficiency. A high-impact role, sitting at … the intersection of people strategy, technology, and data science! You'll work in close partnership with senior People leaders, IT, and the Digital & AI teams to ensure we are proactive, ethical, and effective in the way we use data, automation, and AI. Responsibilities: People Analytics Lead, coach and develop a high-performing team of People Analysts, building More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/… proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving … to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving … to solve real-world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally … familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time More ❯

learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with advanced … scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting … and cost-to-acquire modelling Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java More ❯

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps … optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant … Zones are you on? Could you please indicate your earliest availability to join our team following a prospective offer? (Notice Period). In Days. Do you consent for your data to be kept for a period of 12 months following this application process? This would allow us to reach out to you should we have similar roles in the More ❯

with a deep understanding of the MITRE ATT&CK framework and a proven ability to detect and investigate advanced threats beyond signature-based solutions. Adept at leveraging Splunk for data analysis and detection development, they bring strong scripting capabilities (e.g., Python, PowerShell, SQL) and experience using Jupyter Notebooks to automate hunts and visualise results. This individual has successfully built … business teams. Strong use of Splunk Programming Language. Strong scripting/query language skills (e.g., Python, KQL, SQL, PowerShell). Desirable Requirements Hands-on experience using Jupyter Notebooks for data exploration, automation, and visualization in a security context. Knowledge of cloud products and log events such as Azure, Amazon Web Services, Google Cloud Platform. Experience building a threat hunting … capability from scratch. Familiarity with data science and machine learning techniques in security analysis. Background in building automated hunting pipelines and/or detection-as-code. Desirable Certifications GCFA OSCP GDAT GCIH Or similar certifications, not required but certainly desirable. Ways of working Focusing on Clients and Customers. Working as One NCC. Always Learning. Being Inclusive and Respectful. More ❯

teams across the company. Leverage technology to drive solutions: Refine your tech skills by learning tools such as SQL and Python to drive your analysis forward. Lean into a data-backed decision making approach as you evaluate efficiencies and solve business problems. Prioritize your wellbeing. Create your definition of balance through flexible hours, resources and benefits, while working in … owner. Be a key decision maker and business owner, driving recommendations, implementing solutions and realizing your impact, all while collaborating with senior leaders across product, tech, sales, operations, design, data science, engineering and finance. Be a change agent . Help people improve their relationship with their money. Transform the communities we serve through financial inclusion-helping to identify … set up your own analytical frameworks to test for the best solutions. Scope operational feasibility, lead implementation efforts and monitor the success of new initiatives. Reimagine banking. Use information, data, analytics, ingenuity and empathy in innovative ways to deliver technology-driven solutions for our customers. You'll love your job if: You ask why, explore and bring your unique More ❯

teams across the company. Leverage technology to drive solutions: Refine your tech skills by learning tools such as SQL and Python to drive your analysis forward. Lean into a data-backed decision making approach as you evaluate efficiencies and solve business problems. Prioritize your wellbeing. Create your definition of balance through flexible hours, resources and benefits, while working in … owner. Be a key decision maker and business owner, driving recommendations, implementing solutions and realizing your impact, all while collaborating with senior leaders across product, tech, sales, operations, design, data science, engineering and finance. Be a change agent . Help people improve their relationship with their money. Transform the communities we serve through financial inclusion-helping to identify … set up your own analytical frameworks to test for the best solutions. Scope operational feasibility, lead implementation efforts and monitor the success of new initiatives. Reimagine banking. Use information, data, analytics, ingenuity and empathy in innovative ways to deliver technology-driven solutions for our customers. You'll love your job if: You ask why, explore and bring your unique More ❯

Python, JavaScript, C++ and C#). Familiarity with database solutions (e.g. SQL, MongoDB ). Experience with working in an Agile environment Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3 or more More ❯

Python, JavaScript, C++ and C#). Familiarity with database solutions (e.g. SQL, MongoDB ). Experience with working in an Agile environment Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3 or more More ❯

building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features … mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI More ❯

We are seeking a skilled Data Engineer to join our Data & Analytics team. In this role, you will design and build robust, scalable data pipelines and well-structured data models to support advanced analytics and Power BI dashboards. You will work with sales data from our stores and deliver high-quality, reliable datasets for business … stakeholders. Responsibilities: Design, develop, and maintain efficient and scalable data pipelines to ingest, transform, and load sales data. Build and optimize data models to power Power BI dashboards and analytics use cases. Collaborate with analysts, data scientists, and business teams to understand data requirements and translate them into technical solutions. Ensure high data quality, integrity … and performance across the entire pipeline lifecycle. Work within a modern data stack including Databricks, Azure Data Services, and Unity Catalog. Use Terraform to manage infrastructure as code and GitHub for version control and CI/CD workflows. Apply best practices in data engineering, including modular design, testing, and documentation. Required Skills and Qualifications: Proficient in Python More ❯

Anaplan model building to leverage this tool for Capacity Planning, building Reporting Packages, and Finance Operations Volume Forecast Models. Owning the design, operations, and improvements for the Organization's Data Warehouse infrastructure. Maintain, improve, and manage all ETL pipelines and clusters. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency. Define metrics and KPIs … operations, solution delivery team, partners, BD, and other cross-functional stakeholders. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Collaborate with data scientists, BIEs, and BAs to deliver high-quality data architecture and pipelines. A Day in the Life Scripting language such as Python preferred. Establish scalable, efficient, automated processes … for large-scale data analyses. Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management. Work with business owners and partners to build data sets that answer their specific business questions. Support Financial Analysts, Sales Operations Leads, and beyond in analyzing usage data to derive new insights and More ❯

to to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should be a self-starter … who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML … write clear and detailed functional specifications based on business requirements. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understanding the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Build programs to create a culture of continuous More ❯