51 to 75 of 535 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 ❯

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 ❯

to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated, analytical and detail oriented candidate to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders … other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor degree in mathematics, statistics, computer science, engineering. 8+ yrs of experience in Analytics/BI, writing and optimizing SQL/Python with large-scale, complex datasets. - 3+ years' experience using business intelligence tools like QuickSight, Tableau, PowerBI. - Strong financial acumen and analytics More ❯

projects using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data transformations. Collaborate with technical and research teams to develop internal tools, products, and automation pipelines. Maintain high standards of data quality, reproducibility, and documentation. … and ambitious team that values integrity and innovation. ** Help build the next generation of research tools and products . **Opportunities for real career progression, learning, and development in AI, analytics, and applied data science. Benefits include: Workplace Culture & Social Perks Learning & Development Time Off & Flexibility Work Life Balance Health & Wellness Financial Wellbeing And SO much more Sound like you More ❯

projects using a range of statistical and data science techniques. Interpret briefs from senior stakeholders and independently build out appropriate solutions. Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data transformations. Collaborate with technical and research teams to develop internal tools, products, and automation pipelines. Maintain high standards of data quality, reproducibility, and documentation. … and ambitious team that values integrity and innovation. Help build the next generation of research tools and products . Opportunities for real career progression, learning, and development in AI, analytics, and applied data science. Benefits include: Workplace Culture & Social Perks Learning & Development Time Off & Flexibility Work Life Balance Health & Wellness Financial Wellbeing And SO much more Sound like you More ❯

a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders More ❯

while providing extensive capacity at low cost, fostering an inclusive culture that encourages bold ideas and ownership. We are looking for a highly motivated Data Scientist to develop scalable, predictive, and prescriptive analytics solutions supporting AWS Supply Chain and Procurement. You will work with stakeholders, data engineers, BI engineers, and analysts to achieve strategic goals. The ideal candidate More ❯

science projects deliver measurable results. What You'll Bring Essential Expertise Deep knowledge in AI/Machine Learning , Statistical Analysis , and Algorithm Design Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing scalable data solutions Skilled in Data Commercialisation , KPI Design , Business Analysis More ❯

passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration 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 ❯

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 ❯

As a Data Scientist within Davies UK & I 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 Language Models (LLMs), Generative AI and Python programming to build scalable data-driven solutions. Key Responsibilities Develop and implement machine learning models, including LLMs, to … 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 in a clear, concise manner to stakeholders. … Expertise •Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (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 ❯

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 ❯

integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect … software engineers and business consultants to integrate AI solutions into professional services applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related … High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect … software engineers and business consultants to integrate AI solutions into professional services applications. Ensure AI components interact seamlessly with enterprise platforms such as CRM, ERP, workflow automation tools, and analytics dashboards . Ethical AI & Compliance Embed AI fairness, transparency, and accountability principles into AI systems, ensuring ethical AI deployment. Stay updated on AI governance policies and compliance frameworks related … High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

strategy. The Data and AI Lead will be responsible for establishing a robust data governance framework, enabling data-driven decision-making, and identifying opportunities to leverage AI and advanced analytics across the organisation. This role will play a critical part in ensuring data integrity, accessibility, and innovation, while aligning with regulatory and ethical standards. The role holder will lead … purpose Establishing data architecture standards and ensuring alignment with enterprise IT and digital strategies Overseeing the development of data pipelines, models, and human interfaces to support real-time and predictive analytics Ensuring compliance with data protection regulations and ethical AI principles Building internal capability through training, tools, and best practice guidance on data and AI Representing the organisation … Strong understanding of data governance frameworks, data architecture, and AI/ML lifecycle management Experience with cloud platforms (e.g. Azure, AWS), data engineering tools (e.g. Databricks, Snowflake, Foundry), and analytics platforms (e.g. Power BI, Tableau) Knowledge of relevant legislation and standards, including GDPR, ISO 27001, and ethical AI guidelines Proven ability to translate business needs into data and AI More ❯

AI/ML frameworks to enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance models and advanced analytics solutions to enhance decision-making and business insights. Lead initiatives in big data augmentation and predictive analytics. Develop a group … transformation projects and innovative technology solutions. Deep domain expertise in asset management, private equity, and the shipping industry. Experience in delivering technology projects in the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML/AI frameworks, NoSQL, blockchain More ❯

data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Location … data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our … use, labor practices). Stay current with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners. Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables are well More ❯

MDM or any other MDM tools (both customer and product domains). Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization. Understanding of GDPR and The Data Protection Act 2018. Knowledge of programming languages including Python is highly desirable. TOGAF or ISEB accreditation (preferred). Experienced More ❯

learn and adapt to its ecosystem. Proficiency in Python programming, especially for 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 skills suitable 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 Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and 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 skills for 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 to ingest, store, and transform large datasets 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 skills to thrive in a consultancy … environment. Experience in data modeling and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Daily responsibilities 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 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 ❯