26 to 50 of 370 Remote Predictive Analytics Jobs

Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients … hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data-driven decisions. Building Intelligent More ❯

Do you thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We're seeking an experienced Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering experts to transform how we and our clients … hybrid working allowing for a mix of in-office and home working. What You'll Be Doing Leading Data Science Initiatives - apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights - use predictive analytics and optimization techniques to help clients make smarter, data-driven decisions. Building Intelligent More ❯

explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless integration of data. Currently there are over 100 people in the global DSAE team, including … data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other … to better understand not just who our customers are, but how their behaviours translate into long-term financial outcomes. In this role, you will: Partner with commercial, finance, and analytics teams to translate business requirements into actionable products aiding understanding of customer value Build and refine predictive models focused on forecasting customer lifetime value (CLV) and a deep More ❯

analysis and insights drumbeat of Amazon and B2B eCommerce within Western Europe Provide regular performance analysis to a wide range of team members across Western Europe Be a trusted analytics partner who generates recommendations that accelerate growth and influence collaborators Triangulate first and third-party data sources to generate insights through data analysis Ensure data flows are accurate and … rapid decision making Conduct deep dives and incremental analysis into performance and generate practical insights - particularly supporting key events such as Prime Day, Black Friday Support delivery of advanced analytics and the move from descriptive to predictive analytics Play your part in our team succeeding You will be part of the Western Europe Analytics & Insight team … a mix of datasets from different sources to analyse commercial performance Strong analytical skills, robust commercial acumen and strength in deriving commercially valuable insights from data Expertise in managing analytics tools and Data Query coding (e.g., SQL, Python) Business Intelligence & Reporting Tools (e.g., Power BI) Good awareness of common Data Analytics techniques, together with advanced Data Visualisation Skills More ❯

The Data & Analytics Manager will be responsible for leading and developing a team of BI professionals and data scientists. This includes ensuring that requests are appropriately prioritized and workloads efficiently managed across both BI and data science functions. The role will drive the development of a self-serve data mentality across the business and lead the execution of advanced … analytics projects that add significant value to wider business processes. The ideal candidate will have strong leadership, communication, and stakeholder management skills, as well as hands-on expertise in SQL, Power BI, and data science tools such as Python and machine learning frameworks. The key responsibilities of the role are as follows: Line management responsibilities of a team comprising … BI developers and data scientists to support the MI, data insights, and advanced analytics needs of the wider business. Support the development of the team through regular 1-2-1s, performance reviews, identification of training requirements, and creating a culture of shared learnings. Through your team, provide business support across the creation of reporting datasets, BI reports, dashboards More ❯

together, we can unlock the full potential of every mind. Introduction We are seeking a Data Science Product Manager to lead the strategic use of data science and advanced analytics directly within our Product team. As our primary product-focused data expert, you’ll independently leverage data-driven insights, predictive analytics, and strategic thinking to guide product … roadmaps, and priority decisions. Define, track, and communicate key product metrics and KPIs , ensuring product decisions are consistently informed by meaningful data. Develop and apply advanced analytical techniques (e.g., predictive modeling, segmentation, regression, forecasting) to enhance products, discover user opportunities, and improve customer experiences. Own and continuously evolve the product analytics roadmap , proactively identifying new data sources, integrations … and analytics tools to advance product capabilities. Collaborate closely with cross-functional stakeholders (Product Managers, UX, Engineering, Systems, Marketing, RevOps) to translate complex data into actionable, strategic product initiatives. Clearly communicate analytical findings and strategic recommendations to leadership, product teams, and non-technical stakeholders through effective data visualization and presentations. Provide thought leadership within the Product organization , advocating best More ❯

Intelligence (FDI) Consultant , you will be responsible for leading and managing the implementation of Oracle Fusion Data Intelligence (FDI) solutions. Your expertise in Oracle FDI architecture, data modelling, and analytics will be essential in providing strategic insights, designing scalable solutions, and driving data-driven decision-making for our clients. This role requires a deep understanding of Oracle Fusion Data … Cloud ERP, HCM, and SCM. You will work closely with business stakeholders, analysts, developers, and project managers to ensure the successful execution of end-to-end data intelligence and analytics solutions. Your role will also include training super users, knowledge transfer, and providing technical leadership on best practices for data extraction, transformation, and reporting. Roles and Responsibilities You will … configuration, and customisation of Oracle Fusion Data Intelligence (FDI) to align with business needs. Work closely with clients to understand business objectives, data sources, and reporting requirements, ensuring optimal analytics solutions. Design and develop FDI-driven reports, dashboards, and predictive analytics to enhance decision-making capabilities. Provide technical expertise on Oracle FDI architecture, including semantic models, data More ❯

Intelligence (FDI) Consultant , you will be responsible for leading and managing the implementation of Oracle Fusion Data Intelligence (FDI) solutions. Your expertise in Oracle FDI architecture, data modelling, and analytics will be essential in providing strategic insights, designing scalable solutions, and driving data-driven decision-making for our clients. This role requires a deep understanding of Oracle Fusion Data … Cloud ERP, HCM, and SCM. You will work closely with business stakeholders, analysts, developers, and project managers to ensure the successful execution of end-to-end data intelligence and analytics solutions. Your role will also include training super users, knowledge transfer, and providing technical leadership on best practices for data extraction, transformation, and reporting. Roles and Responsibilities You will … configuration, and customisation of Oracle Fusion Data Intelligence (FDI) to align with business needs. Work closely with clients to understand business objectives, data sources, and reporting requirements, ensuring optimal analytics solutions. Design and develop FDI-driven reports, dashboards, and predictive analytics to enhance decision-making capabilities. Provide technical expertise on Oracle FDI architecture, including semantic models, data More ❯

which this team is responsible for developing, optimising and rolling out new experiences across Nissan. Main Tasks & Responsibilities In this role you will be joining CEDAR (Customer Experience Data, Analytics & Reporting) team within NCX to drive the value that can be derived from the data generated by millions of interactions each day across 145 markets from visitors to our … with practical business acumen. AI & Machine Learning Model Development Develop, test, and deploy AI and machine learning models for integration into data platforms. Ensure models meet business requirements for predictive analytics, customer segmentation, and process optimization. Engineer features from raw data to enhance model accuracy and performance. Apply statistical techniques to analyse data and uncover patterns. Implement validation … adhere to data security and privacy regulations. Collaborate with data governance teams to maintain compliance and implement ethical AI practices. Skills & Experience Required Proven experience in Data Science, Advanced Analytics, and Statistical Modeling. Expertise in supervised and unsupervised machine-learning algorithms, including Decision Trees, Random Forest, CatBoost, Clustering techniques (K-means, DBSCAN, etc.), and Time Series Forecasting. Knowledge of More ❯

You'll Contribute Lead on business analysis with internal customers to discover and document requirements Data engineering and complex modelling bringing together data from multiple data sources suitable for analytics Develop and test complex BI apps i.e. that involve significant amounts of data transformation Develop data pipelines/data warehousing in Microsoft Fabric and migrate across existing solutions from … to the delivery of processes shared with adjacent CoE’s Adhere to all governance requirements Contribute to ad-hoc requests as needed What You'll Bring Essential Notable data analytics development experience Data engineering and complex data modelling experience (using Fabric/Azure) in bringing together multiple data sources (including ERPs) and tables to create the data model/… of complex app/DWH development and support using Qlik Sense and SQL Server/SSIS Experience of KPI reporting Experience of managing finance concepts and terminology Experience of predictive analytics and machine learning Development using Python/R Experience of developing and supporting BI systems in the Cloud What We'll Offer Competitive salary dependent on experience More ❯

allow for better future decision-making. Essential Skills Required Ability to investigate, interpret and translate data into actionable insight. Understanding of customer segmentation techniques, customer acquisition and lifetime values, predictive analytics, and forecasting. Expert of data manipulation and programming in SQL. Expert of Data Visualization tools such as Power BI, Tableau, etc. Experience in marketing campaign analysis. Can More ❯

Data, Insights & Analytics Specialist HR EMEA (1- year contract to perm) Data, Insights & Analytics Specialist HR EMEA (1- year contract to perm) Location: 100% Remote (EMEA preferred, must overlap with UK business hours) Reports to: Senior Manager – Talent Acquisition Employment Type: Full-time About the Role We’re seeking an analytical and creative Data, Insights & Analytics Specialist … to join our EMEA Talent Acquisition team. Reporting into the Senior Manager, you’ll lead the development of dashboards and analytics that turn complex TA data into actionable insights. You’ll play a vital role in modernizing how we use data across platforms like Workday and Eightfold , helping build a more informed, efficient, and strategic TA function. Key Responsibilities … and business stakeholders Act as a strategic advisor to Talent Acquisition leaders and wider business leaders, turning data into insight and insight into action across regions and functions. Drive predictive analytics initiatives Develop early models and strategies to forecast hiring needs, identify bottlenecks, predict attraction risks, and optimise hiring strategies. Champion data storytelling Create compelling narratives and visual More ❯

teams to identify patterns and trends, and provide recommendations based on data analysis. The Opportunity You'll define our data strategy, user segmentation, and growth analytics. You'll build predictive models and optimization systems that drive our core business metrics. What You'll Own Pricing Architecture & Economy Balancing: Analyze and optimize our currency and prize pricing, promo offerings, etc. … and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize user engagement and monetization in real-time Predictive Modeling: Develop churn prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/… analysis, and revenue optimization models Market Intelligence: Competitive analysis and market trend identification What We're Looking For Must-Haves 3+ years in mobile gaming, social casino or sportsbook analytics with proven track record of driving user retention and monetization Strong SQL skills for complex data manipulation and analysis Python proficiency for data modeling, automation, and statistical analysis Dashboard More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictive analytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯

Do you have a passion for analytics and providing data led solutions? Are you an experienced data professional with knowledge of data cleansing, modelling and data analysis methods? We have a new opportunity for a Senior Data Scientist to join our highly successful digital team. You will be working as part of an award-winning team of Analysts and … challenges faced within the Water industry. This role is client facing – you will need to work with our clients in the water industry to understand their requirements, propose data analytics solutions/approaches, support proposal writing, and work with the team to deliver the work. You will be involved in the technical delivery and supporting more junior members of … for a mix of in-office and home working. About You You will have experience of developing automated tools to help clients understand their data, along with optimisation and predictive analytics solutions to improve decision-making. You will be able to use a variety of approaches to extracting value from data, importantly being an advanced Python user, knowing More ❯

for understanding customer behaviour and shaping the BBC’s D2C strategy. The Lead Data Analyst will lead the development and implementation of a data and insights ecosystem, leveraging advanced analytics and proprietary tools to support all aspects of the acquisition and engagement funnel. The role also involves optimizing performance of product and marketing initiatives, building models to identify trends … you will have the chance to develop new KPIs and reporting to steer the 0-1 growth of the D2C business. Reporting to the Vice President of Measurement and Analytics, this role is a full-time hybrid working position based in London. The role may require travel to New York. WHAT DOES IT TAKE? Essential Criteria Experience in a … direct-to-consumer, subscription, or ecommerce business. Highly data literate with excellent skills in analyzing data using programmatic methods such as SQL, Python, and data analytics tools such as GA4, Adobe, or Piano. Deep understanding of the customer funnel, including acquisition, retention, and customer segmentation strategies. Proven experience in deriving value from data and presenting analysis to large groups More ❯

forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you. Role Overview In this role you will be joining a team of … world's most creative trend experts, designers, analysts, account managers, marketers, product developers, customer service experts and much more in a meritocratic, high-performance company. TrendCurve AI is our predictive analytics model within WGSN Fashion Buying, combining powerful data science and quantitative forecasting with the world’s leading trend expertise. The foundation of WGSN is our passionate experts. … insights and recommendations for clients as part of our TrendCurve AI offering. With a commercial mind, the Senior Strategist will have an expert understanding of the role data and analytics plays in business success. Seen as a trusted industry expert, you will have significant career experience within the fashion sector, ideally within buying, merchandising or insights functions. This role More ❯

to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data … Values and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc More ❯

to have skills, but optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability Develop data … Values and guidelines and other relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models (eg GBMs, GLMs, clustering techniques, etc More ❯

we do to bring innovative treatments to patients. We challenge ourselves constantly to deliver more for patients, healthcare professionals, our partners, and our employees. Location: London, Hybrid Department: Data & Analytics Job type: Permanent Join us and make a difference when it matters most! At Mundipharma, we are proud of the work we do to bring innovative treatments to patients. … patient outcomes. Cross-Functional Leadership: Partner with business functions including R&D, Finance, Manufacturing, Supply Chain, Scientific Affairs, and Commercial teams to identify high-impact AI use cases (e.g., predictive analytics for clinical trials, real-world evidence generation, biomarker discovery). Regulatory & Compliance Oversight: Ensure data practices adhere to FDA, EMA, GDPR, HIPAA, and industry standards (e.g., CDISC More ❯

to generate optimized outputs for use in engineering projects and processes. Develop and implement automation techniques to streamline current processes and data analysis workflows, enhancing efficiency and productivity. Apply predictive analytics, machine learning, statistical modelling, and algorithm design to extract insights and solve complex engineering problems. Develop interactive and user-friendly applications and codes to facilitate data exploration More ❯