1 to 25 of 29 Predictive Modelling Jobs with Remote Work Options

This role is to provide a range of analytics and modelling to support the development of new innovative capabilities and extending this to delivery of pilot projects for some of the world’s biggest brands. Sitting in a broader Advanced Analytics team of data scientists, the core focus of … effectively with smart algorithms using privacy compliant methods. Key Responsibilities The person in this role, will focus on: Audience creation and insight curation Audience modelling and activation algorithms New fusion methods to connect different datasets Consumer journey understanding These projects include a full range of supporting analytics covering; Feature … Validations Model selection The role will also provide exposure to the full range of Annalect Advanced Analytics capabilities including: Connected Measurement (e.g. MMM, attribution modelling) Planning Foundations (e.g. Channel planning) Additional innovations as they are developed by the Annalect team Whilst data planners and strategy consultants will lead the more »

and strategic planning. Service Management: Utilise knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and … reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create data visualisations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine … with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies more »

natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive more »

and managing efficient data pipelines for handling large data volumes effectively, whilst deploying real-time processing for prompt analyses. Applying advanced statistical techniques and predictive modeling to recognise patterns and anomalies in extensive datasets, facilitating informed decision-making. Collaborating closely with engineering and product teams to enhance data frameworks … and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services more »

decision-making across all HR functions. Trend Identification and Forecasting: Identify trends and patterns within HR data, proactively anticipating future needs and challenges. Develop predictive models to forecast workforce trends, retention rates, and talent acquisition requirements. Performance Metrics Development: Design and implement comprehensive performance metrics and KPIs to evaluate more »

proficiency. Experience in a related Insurance Pricing role is essential. Excellent numerical mathematical skills. Understanding of machine learning techniques. Robust knowledge and understanding of predictive modelling for Risk and/or Demand models. Ability to demonstrate high levels of problem-solving skills & initiative whilst working to strict deadlines. more »

into impactful AI solutions, guide project execution, and mentor junior data scientists through clear communication and knowledge sharing. Research and implement emerging NLP and predictive modeling techniques, architect and manage APIs, and continuously learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying more »

utilized and integrated, with a focus on Azure and Databricks. • Employ agile methodologies to develop, deploy, and sustain analytical solutions, with a focus on predictive modelling. Collaborate with stakeholders throughout project management and delivery phases, continually refining solutions to increase business impact. • Showcase hands-on expertise in various data more »

ability to predict match outcomes. This role involves working with other data scientists, software engineers and sports experts to research ways in which the modelling approaches can be improved, and then turning those insights into practical modelling solutions that can deploy to production. About you Strong Python experience … fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are more »

in the increasingly competitive insurance market. Key Responsibilities: Maintain and improve the pricing process to meet business requirements, including; Development of market leading behavioural modelling using a combination of traditional & data science techniques Improve sophistication within the optimisation of direct brands Support delivery of pricing & underwriting business plan across … products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between more »

data and uncovering pivotal factors for optimizing search engine rankings. Your role will involve collaborating with diverse teams to gather and analyze data, construct predictive models, and fine-tune algorithms to elevate website performance. Dive into the realm of data preprocessing, feature selection, model training, and performance assessment in more »

maintenance, debugging, and performance optimisations. Extract features from CAD/CAM software Analyse large manufacturing datasets using statistical techniques and machine learning algorithms. Develop predictive models and optimisation algorithms to maximise business opportunities. Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and reliability. Working in our technical more »

experience. THE ROLE: As the Customer Data Scientist, you will be reporting to the Head of Data Science and you will work on: statistical modelling within the customer analytics space to provide insight on customer behaviour this includes customer regression models, prediction models and forecasting for customer behaviour across … the business personalising the customer shopping experience online through past behaviours and predictive modelling building and working with models from scratch, across neural networking, segmentation, regression, propensity to buy/churn/lapse analyse the performance and success of statistical modelling, personalisation and marketing performance overseeing a … AND EXPERIENCE: excellent skills in SQL and Python experience in building and deploying analytical models from end to end experience building regression, propensity and predictive models that can be built into the systems analytical capabilities for assessing performance and success excellent communication skills for working with other teams and more »

to both help target and describe customers. Determine new methods and models to measure the incrementality of our marketing activity. Deliver complex descriptive and predictive customer behavioural analytics. Working alongside the Analytics Manager within the team to help identify opportunities for new or improved models and approaches that can … written and the ability to communicate and install this within the wider team. You've excellent analytical skills and statistical understanding, including experience in: predictive modelling, segmentation, time series analysis and applying these for decision making. You've had experience using cloud based analytical platforms such as Databricks more »

fully remote working. Responsibilities: Manage rate changes and implementation of new models and pricing algorithms. Contribute to the development of the pricing ecosystem. Build predictive models using SAS, RADAR , EMBLEM, and other software packages Help to shape the direction of the product with a forward-looking approach and willingness more »

the renewable energy space. Don't miss out on this exciting chance to take your career to new heights. Key Responsibilities: Develop cutting-edge predictive models to analyse data related to energy consumption and renewable energy initiatives. Collaborate with skilled software engineers to effectively implement and deploy models. Establish more »

thinking Desirable – the successful candidate might have Experience of B2B data feeds and analysis Previous experience in SQL Server or another RDBMS Experience in predictive modelling using R or Python Familiarity with other programming language, eg .NET languages What’s in it for you? The opportunity to develop … your career in analytics, with the scope to develop your longer-term career in two key directions: data science, incorporating modelling; or database design and development The chance to learn from a highly accomplished and successful group of analytics professionals Working in meritocratic firm, where valuable contributions get recognised more »

work with clients to understand their objectives and harness the power of data and technology for organisational success. What's will you be doing: Predictive modelling for performance optimisation Analyse data to discover trends Provide clear, actionable recommendations based on insightful analysis Working with clients closely to identify … as well as existing What we'd love to see: Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience What's in it for you: A salary of up to £75,000 Opportunity to work with households more »

target and describe customers. · Deploy models into production so they can be consumed by other analytical teams across the business. · Deliver complex descriptive and predictive customer behavioural analytics. · Bring external thinking to the Company by maintaining an awareness of analytics usage in retail and other sectors and by keeping … knowledge in either Python or R with a strong ability to use SQL. You’ve excellent analytical skills and statistical understanding, including experience with: predictive modelling, segmentation, time series analysis and have had hands-on experience in their application. · You’ve had some experience using cloud based analytical more »

trends and opportunities. Collaborating with key stakeholders from around the business to understand their data needs. Working with large data sets and applying statistical modelling to unearth useful insights. Tell a story form the data and make actionable recommendations to drive strategic decisions. Implement processes to improve efficient data … understanding the customer and using data to drive business strategy Ability to unearth actionable insights from complex data Ideally has experience in statistical and predictive modelling (desirable) Presentation skills and experience managing senior stakeholders If you are interested in this role, please get in touch with Sophie at more »

Senior Data Analyst to lead our data transformation. If you know your SQL queries from your ETL pipelines, and your BI dashboards from your predictive models, we want to hear from you. In this critical role, you'll spearhead a team of talented analysts working with the Met's … and unique datasets. From 999 call records to criminal intelligence, you'll have exclusive access to unprecedented data reserves. Your expertise in data wrangling, modelling, and visualisation will directly impact operational strategies, tactical decisions, and frontline policing efforts across London. We need a true data professional who can distinguish … independently in order to identify and implement appropriate solutions. Previous experience in coaching/managing other analysts. Practitioner level experience of conducting descriptive, diagnostic, predictive and prescriptive analysis to identify what happened, why it happened, what might happen next and outline what action should be taken. Experience working in more »

R is crucial. Ability to design, implement, and refine complex trading algorithms that can process large volumes of data in real-time to make predictive trading decisions based on multiple variables. Expertise in managing and manipulating large datasets, using SQL databases and potentially NoSQL databases. Knowledge of data warehousing … understand, implement, and optimize mathematical models that drive trading strategies. Experience with Machine Learning and Artificial Intelligence including ML and AI techniques to develop predictive models and enhance algorithmic strategies. Familiarity with libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularly useful. Knowledge of risk management more »

to share ownership in solving this problem end to end. From exploring new data sources for building features, to design and put in production predictive models and make sure they perform consistently over time. The individual will assist with reviewing existing tools, applications, and processes to help strengthen and more »

decisions to deliver better products, services and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models and generating actionable recommendations to optimise customer experiences and drive business growth. Duties Data Analysis and Exploration: • Utilize Dataiku and other analytical tools … and explore customer data from various sources. • Identify patterns, trends, and correlations within the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models … improve customer engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such more »

decisions to deliver better products, service and relevance to consumers. Utilising advanced analytics tools like Dataiku, you will be responsible for extracting insights, building predictive models, and generating actionable recommendations to optimise customer experiences and drive business growth. Responsibilities: Utilise Dataiku and other analytical tools to extract, clean, and … explore customer data from various sources. Identify patterns, trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to enhance … behavioural, transactional, and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong more »