1 to 25 of 35 Predictive Modelling Jobs with Hybrid or WFH 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 »

open-source and cloud tools, driving innovation and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced 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 »

companies pricing capabilities. Analysing and monitoring loss rations, performance metrics and rate strength, as well as other account performances. Carruing out pricing analysis, through predictive risk, residual modelling and developing pricing recommendations. Assessing the affect of rate change impacts through predictions through to post deployment review. Build and … You will act as a pricing and performance representative on your specific product lines. Collborate with internal teams. YOUR SKILLS AND EXPERIENCE Knowledge of predictive modelling techniques including GLM and GBM and/or ML techniques. Experience using Emblem or Radar software and having built/developed Radar more »

preferred, but not essential Skilled in programming languages such as python or R. Knowledge/hands-on experience with Machine Learning and/or predictive modelling approaches Experience using machine learning methods and statistical models is again a plus Strong communication skills with the proven ability to relay more »

storage platforms for optimal speed, scalability, reliability, and performance. Oversee critical functions such as data acquisition, extraction, preparation, and processing of extensive datasets for predictive modelling purposes. Conduct web scraping and proficiently manipulate data as required. Take the lead in pioneering modelling techniques utilising emerging technologies. Collaborate more »

storage platforms for optimal speed, scalability, reliability, and performance. Oversee critical functions such as data acquisition, extraction, preparation, and processing of extensive datasets for predictive modelling purposes. Conduct web scraping and proficiently manipulate data as required. Take the lead in pioneering modelling techniques utilising emerging technologies. Collaborate more »

dynamic and fast-paced environment and have the opportunity to help shape the company's future. RESPONSIBILITIES: Building models using behavioural data, such as predictive modelling, and segmentation. Collecting data through both passive and active methods and manipulating large-scale behavioural data to understand what drives peoples choices. 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 »

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 »

a theoretical standpoint through to practical execution. The role can be remote within the UK. The Profile: Broad experience of using a range of predictive modelling and machine learning techniques to tackle business problems across commercial sectors. Ability to translate complex analytical solutions into transparent and actionable business more »

skills to analyze large datasets and extract actionable insights. Collaborate with stakeholders across departments to understand business needs and influence decision-making processes. Develop predictive models and algorithms to optimize various aspects of the business, from inventory management to customer engagement. Present the findings and recommendations to senior management 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 »

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 »

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 »

trends. Required Experience: At least 4 years in Product Management, with a focus on data science and digital products. Strong foundation in data science, predictive modelling, and machine learning. Proficient in agile methodologies and tools like Jira. Proven track record in product strategy and execution. Excellent communication and 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 »

development and implementation of sophisticated analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from … of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data Science 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 »

a proven track record of managing end-to-end projects , a knack for communicating complex technical concepts to non-technical stakeholders , and expertise in predictive modeling, segmentation , and AI , we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks … data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A … of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped more »

a proven track record of managing end-to-end projects , a knack for communicating complex technical concepts to non-technical stakeholders , and expertise in predictive modeling, segmentation , and AI , we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks … data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A … of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped more »

a proven track record of managing end-to-end projects , a knack for communicating complex technical concepts to non-technical stakeholders , and expertise in predictive modeling, segmentation , and AI , we want to hear from you! At E.ON Next, you'll have the opportunity to leverage your skills in Databricks … data science projects, from problem formulation to model deployment. Effectively communicating complex technical concepts to non-technical stakeholders and fostering strong business partnerships. Leveraging predictive modeling, segmentation techniques, and advanced AI algorithms to unlock valuable insights. Demonstrating proficiency in Databricks and PySpark to streamline data processing and analysis. A … of the business, employ a consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped more »

all user actions and establishing streaming mechanisms for analysing customer behaviour. • building a real-time data platform for analytics, tracking and decision making • creating predictive models for customer acquisition, engagement and forecasting churn • developing and enforcing privacy policies to protect customer data • running large scale data analysis to understand more »