1 to 25 of 115 Remote Permanent Predictive Modelling Jobs

Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop … authenticity, expectancy, timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns, trends, and intelligence gaps. Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources. Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions. Tackle complex More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable … of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

Board, in support of AIB's customer franchise and social responsibility. This role is in the Decision Analytics & Insights Team in Risk Analytics. They are responsible for development of predictive models and credit strategies to determine customer risk profiles, which are then used to automate credit decisions for the Bank's customers. The team also provide management information to … credit models to ensure they continue to operate as expected. Key accountabilities. Analysis & Investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank; Digital protection: Access/utilise bank data within the policies and frameworks required by AIB; Predictive model development: Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, credit grading, capital requirements and loss expectations; Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to More ❯

Intelligence (AI),Computer Vision, and Deep Learning to lead innovative data science initiatives in healthcare and finance. The role involves designing and implementing advanced algorithms, analyzing complex datasets, build predictive models, and deriving actionable insights to support decision-making processes. The Senior Data Scientist will be responsible for developing and deploying AI/ML solutions that leverage Computer Vision … to interpret data and derive actionable insights. Ability to translate complex data science concepts into simple, understandable results for non-technical stakeholders. Proficiency in statistical analysis, hypothesis testing, and predictive modeling. Experience working with healthcare or finance data, including domain-specific challenges. Your Responsibilities: Develop and implement AI/ML models, particularly those involving Computer Vision (e.g., image recognition … recognition systems. Strong understanding of CNNs, RNNs, U-Nets, and other computer vision architectures applied to medical imaging, video analytics, etc. Strong understanding of statistical analysis, hypothesis testing, and predictive modeling. Reporting & Insights Partner with domain experts in healthcare or finance to understand challenges and translate requirements into technical specifications. Present findings and recommendations to non-technical stakeholders, ensuring More ❯

by leveraging cutting-edge AI, machine learning (ML), and advanced analytics to solve complex challenges. The Technical Data Scientist will develop, deploy, and optimize scalable data science solutions, including predictive models, AI/ML-powered decision engines, and automation frameworks that deliver measurable commercial value. This includes integrating cloud-based, real-time, and MLOps best practices to ensure robust … Define and own the data science roadmap, ensuring alignment with business priorities and delivering measurable commercial value to Greene King. Develop, deploy, and scale advanced data science solutions, including predictive models, AI/ML decision engines, and automation frameworks, to drive data-led operational decisions. Implement and oversee robust MLOps practices, ensuring models remain accurate, explainable, and optimized through … computer science, etc. Best Practice knowledge and experience of Data Science standards and approaches. Expert in Python, SQL and other coding languages and platforms. Expert in statistical and AI modelling and relevant software/platforms. Significant knowledge and Experience in Databricks and Lakehouse concepts. Strong stakeholder management experience across multiple levels of an organisation. Proven ability to solve complex More ❯

role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

projects. The Data Science role will also be responsible for managing the delivery of multiple projects across the team, acting as an internal SME data science, machine learning and modelling practice and to mentor and coach team members. The Data Analytics role will mirror these responsibilities for the data analytics and insights aspects of those key projects. If you … of data science, BI and analytics tools and languages, such as Tableau, SQL, R, Python In-depth experience of applying analytics/data science techniques including the use of predictive modelling, data mining and/or the analysis of large data sets Experience of Cloud-based Data and Analytics technologies Understanding of the principles of software engineering The More ❯

hypotheses : Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making. Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value. Communicate results and engage with stakeholders : Effectively … datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proficiency in statistical modelling : Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. More ❯

risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work with a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance … seek and identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in More ❯

project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera … and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies to … advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets More ❯

project control and performance management. You'll develop and manage insightful dashboards and reports, monitor key performance indicators, and present actionable insights to stakeholders. Your role will also involve predictive analytics, root-cause analysis, risk management collaboration, and ensuring compliance with industry standards. Proficiency in tools like Power BI, SQL, and Python, along with familiarity with PRISM or Primavera … and risk performance. Monitor key project performance indicators and identify trends, deviations, and improvement opportunities. Present clear and actionable insights to stakeholders to enable effective project control decisions. Data Modelling & Analysis: Develop predictive analytics models to assess potential project outcomes based on current data and trends. Conduct root-cause analyses of project variances and propose mitigation strategies to … advancements in analytics tools, techniques, and best practices within project management. Analytics & Data Skills: Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling. Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera. Problem Solving & Insight Generation: Strong ability to interpret complex data sets More ❯

environment, we would love to hear from you. Core responsibilities Customer insights: Interpret and analyse dashboards to identify key trends, opportunities, and risks across the business. Customer behaviour analysis & modelling: Conduct deep dive analyses on customer behaviour, including geo-demographics, time of day, and transactional data. Investigate retention drivers and develop predictive models to inform improvements. Segmentation analysis More ❯

You Have: Bachelor's degree in computer science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in creating insightful dashboards and reports, supported by visual storytelling for executive team members How We Support You More ❯

areas such as workforce planning, engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven More ❯

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯