76 to 100 of 537 Predictive Analytics Jobs

skills, both written and oral. Experience building self-service tools (e.g., in Power BI). Desirable but not essential: experience with Python or R, exposure to machine learning/predictive analytics. Preferred (not required): background in retail or related customer-focused environments. Team culture is really important here, and recently, internal surveys scored the team a 10/ More ❯

experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high-quality APIs and code documentation Deep More ❯

development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist II, Marketing Analytics Introduction to team The Traveler Business Team has a mission to deliver the most convenient, rewarding, and memorable ways for people to travel and explore the world. This division … Vrbo, and Portfolio brands, and across all our lines of businesses including Hotels, Vacation Rentals, Air, Car, Packages, and Insurtech. This role will be part of the Marketing Measurement Analytics team, which sits as part of the wider Marketing Analytics team. The team looks for curious and hard-working individuals, with strong statistical and analytical backgrounds, to support … You have a Bachelor's, Master's or PhD degree in Mathematics, Science, Statistics or a related Technical field; or equivalent related professional experience in a role focused on analytics or data science (e.g. driving significant and sustained change and performance improvement from data-driven insights) You have strong SQL skills, along with proficiency and experience in coding with More ❯

As a Data Scientist within Davies UK & Ireland IT, you will be responsible for extracting meaningful insights from complex datasets to support strategic decision-making. You will leverage advanced analytics, machine learning techniques, Large Models (LLMs), Generative AI, and Python programming to build scalable data-driven solutions. Key Responsibilities Develop and implement machine learning models, including LLMs, to optimize … Apply advanced Python techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings clearly to stakeholders. Stay updated with emerging … Skills, Knowledge, and Expertise Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, LLMs, and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent More ❯

documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development … expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified … Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics More ❯

documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development … expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified … Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics More ❯

our clients. Key Responsibilities: Oversee the implementation and ongoing management of the customer data platforms from various vendors. Rapidly diagnose and understand the complexities of existing technologies, including CRM, analytics tools, marketing platforms and data warehouses. Advise and ensure the appropriate integration strategies for clients based on their legacy technology stack. Maintain system health, troubleshoot issues, and implement updates … governance policies and regulations (e.g., GDPR, CCPA). Collaborate with IT and data teams to resolve data discrepancies and maintain data hygiene. Develop and manage customer segmentation models and predictive analytics to inform marketing and sales strategies. Partner with analytics teams to leverage advanced analytics capabilities. Work closely with marketing teams to create personalized, data-driven … Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Advanced understanding of matrixed organisations and comfortable in managing cross functional teams Strong understanding of data integration processes, APIs More ❯

acquisition strategies. Responsibilities Develop and maintain acquisition and engagement (e.g. influencer/affiliate, organic, VIP, paid acquisition etc.) dashboards to monitor user growth and campaign effectiveness. Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems. Analyze data to derive actionable insights that drive business decisions More ❯

Electric Shuffle. Collaborate with key teams to define data frameworks for tracking KPIs and performance and build self-serve dashboards that inform smarter decisions allowing teams to remain agile. Analytics Innovation & Collaboration: Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. Support market intelligence … Knowledge: Champion clean, structured data - identifying key business information required for analysis and support the business process to manage this. Work closely with the administrators and architect to align analytics with enterprise platforms like POS, CRM, booking and loyalty platforms. Proactively identify and provide solutions for data quality issues and improve how insight flows through the business. To be … successful in this role, you’ll: Solid experience in analytics, with a strong focus on customer insight, commercial impact, and stakeholder communication. Advanced Power BI experience, including DAX, data model optimisation, and workspace management. Proficiency in SQL and knowledge of databricks, dbt and fabric. Strong knowledge of hospitality systems, booking flows, CRM and loyalty platforms — and how they power More ❯

Job summary The post holder will be responsible for overseeing the Business Intelligence and Analytics functions at Lewisham and Greenwich Trust. They will develop and deliver the trusts digital strategy to ensure that the Business Intelligence and Analytics functions provide the Trust and other stakeholders with the comprehensive business intelligence and analysis as well as developing the technical … three core areas within the Business Intelligence team, namely Reporting Services, Report Development and Planning & Commissioning. The post holder will have specialist knowledge, gained through experience, of the data & analytics agenda within the NHS, across both Acute and Community settings, being able to analyse and present highly complex data for a Director and Board level audience. They should be … able to develop strategies to ensure the Trusts data and analytics architecture is robust and supports the strategic aims of the organisation. Main duties of the job Lead the development of an expert information service that supports becoming a data driven organisation. To work collaboratively across the organisation to identify key information and reports needed to drive service and More ❯

with Microsoft Fabric or a strong willingness to learn. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science, with a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities for a consultancy environment. Experience … in data modeling and understanding of Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality More ❯

strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. Interest in data science and a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy … environment. Data modeling experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets 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 ❯

willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities for a consultancy environment. Data … modeling experience and knowledge of Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Daily tasks include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing More ❯

learn and adapt to its ecosystem. Proficiency in Python programming, focused on data manipulation and engineering. A genuine interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy … environment. Experience in data modeling and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large More ❯

and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members' work via independent programming in R Implement and optimize algorithms for processing and … other team members and across business units. Strong problem-solving skills and the ability to apply computational methods to complex biological and pharmaceutical problems. Understanding of statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R More ❯

strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science with a drive to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities in a dynamic consultancy environment. … Experience in data modeling and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring More ❯

strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a drive to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy … environment. Data modeling experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily role will include, but is not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation to More ❯

learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. A genuine interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy … environment. Data modeling experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: On a daily basis, your role will include, but is not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and More ❯

and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members’ work via independent programming in R Implement and optimize algorithms for processing and … other team members and across business units. Strong problem-solving skills and the ability to apply computational methods to complex biological and pharmaceutical problems. Understanding of statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R More ❯

strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. Interest in data science with a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities suited for a dynamic consultancy … environment. Data modeling experience and understanding of the Kimball methodology. Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate Responsibilities Your daily responsibilities will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable More ❯

strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy … environment. Data modeling experience and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets More ❯

learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. A genuine interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy … environment. Data modeling experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets 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 ❯

willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities for a dynamic consultancy environment. … Data modeling experience and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring More ❯