1 to 25 of 37 Predictive Modelling Jobs in the UK with Remote Work Options

Data environment. Skills & Experience: Proven track record for implementing models/scorecards. Highly organised and has experience in running projects. Highly competent with MSSQL Predictive modelling Machine learning Version Control, CI/CD, Python, Base SAS & Power BI (desirable) Package: £100,000 - £120,000 basic salary Bonus opportunity more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical analyses to more »

forecasting solutions, specifically focused on the European Power Markets. 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. JOB RESPONSIBILITIES: Market Data Analysis: Conduct comprehensive analysis of data related to the European Power more »

This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist, you will lead complex projects … data collection and pre-processing to model deployment and performance monitoring. Ensure scalability, robustness, and reliability of data science solutions. 2. Advanced Analytics and Modelling: Utilise statistical and machine learning techniques to analyse large, complex datasets and derive actionable insights. Develop predictive models for credit scoring, fraud detection … programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem more »

their development and coaching them to success. Key Responsibilities: Manage, develop, and coach Pricing Analysts and Senior Pricing Analysts. Develop, validate, review, and approve predictive and machine learning models. Deliver accurate datasets for modelling, pricing, and monitoring. Maintain pricing models and support their deployment. Conduct pricing analyses and … stakeholders. Manage the implementation of rate releases and review rates in live environments. Provide insights into current and future pricing performance using MI and modelling results. Coordinate pricing decisions and implementation across teams and decision-making bodies. Inform and influence senior management and heads of departments. Qualifications: Degree in … discipline or equivalent. Experience in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to convey statistical concepts to more »

data-driven decision-making across various aspects of the business, from supply chain optimisation to consumer insights. This role involves analysing large datasets, developing predictive models, and providing actionable insights to improve their products and services. This is a fully remote role but you must be able to work … Key Responsibilities: Analyse large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow … and infrastructure support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL more »

requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. Desirable: Experience in a similar industry with limited capacity and variable demand. Ability to autonomously tackle complex problems with a solution-driven approach. more »

on a 4-month contract. As Data Scientist, the project will involve analysing large volumes of customer data, in which you will then build predictive models and algorthims to determine optimum pricing and drive business deicions. This will suit a candidate who enjoys working with large datasets, and has … a strong understanding of predictive models and statistical analysis. Keen to speak to candidates who have the following: Strong SQL skills for querying large datasets Advanced knowledge of Python programming language Experience with BigQuery big data platform This is a remote based role, with occasional travel to the Manchester more »

that internal and external guidance develops and maintains our pricing models and systems. As we transition to Python from Radar you will support the modelling team with the set-up and development of our new machine learning environment. This role is based in Bradley Stoke , working hybrid hours … days a week in the office and three days a week working from home. What you will do Statistical Modelling and Analysis Data Manipulation with SQL Presentation of MI, analysis and Insight to support decision making Research and apply new analytical and data science techniques Review alternative pricing initiatives … teams across RAC to further data science and analytical capabilities What you will need The successful candidate will have 1 - 2 years' experience building predictive models in a production environment using Python and be able to bring to life their previous experience on what and how they have created more »

bespoke market segmentations that can be actioned to support both strategy and audience planning supporting location investment projects such as store estate planning building predictive models to support more effective media activation The Senior Analytics Manager will manage the longer-term prioritisation of client facing analytical needs and opportunities more »

role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development … across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the more »

role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development … across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the more »

role. Interviews will be held on 8th July 2024. Main duties of the job With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development … across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the 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 »

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 (AWS) The business operate on a hybrid working model and are in the office 3 days a week. 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 »

BettingJobs are currently recruiting for Quantitative Analyst for a leading sports betting syndicate based remotely in the UK. Responsibilities: Build and maintain predictive models from large sports datasets. Research and apply novel modelling techniques. Test model performance. The role will often involve using mathematical models to calculate the … of the sporting calendar, there will be the requirement to offer support outside regular working hours on occasion. Requirements: Experience using advanced statistics and modelling techniques - preferably in sports field. PhD or other post-graduate qualification in statistics. machine learning or another mathematical/scientific discipline (or equivalent experience more »

a Data Scientist to join a growing team where you will be designing end-to-end solutions; from data ingestion and processing, to running predictive ML models, and serving outputs for consumption by the business. RESPONSIBILITIES Designing Machine learning models to be applied to financial market products. Working within … PhD degree in Computer Science or STEM subject Commercial Data Science experience Knowledge of statistics and common supervised machine learning algorithms. Time Series & probabilistic modelling experience is preferred. Experience in delivery of end-to-end machine learning models An interest in applying machine learning to financial markets. Unfortunately sponsorship … For more information, please apply here or send an up-to-date CV to morgan.beck@xcede.com Machine Learning, ML, Statistics, Python, SQL, Finance, Investment, Predictive modelling, Engineering, Financial modelling more »

quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks more »

Power Station Schedule: Hybrid working pattern, approximately 1-year contract, starting as soon as possible Key Responsibilities: Provide analytical support for performance measurement and predictive modeling. Develop dashboards and analyze data related to video content and metadata curation. Partner with other teams/departments to define metrics, KPIs, and more »

on their cloud based GIS tool with a focus on data processing, data engineering and database management. You will be supporting in deploying complex predictive models that their analyst team builds for clients into their cloud based GIS tool. £50-60k basic salary + benefits Hybrid working more »

issues in a stimulating and informative way, using visualisation techniques Is highly numerate with the ability to use complex formulas and build and run predictive models and utilise a range of statistical methods for analysing data Strategic thinking can anticipate and resolve problems before they arise. Planning Skills: Demonstrate … issues in a stimulating and informative way, using visualisation techniques Is highly numerate with the ability to use complex formulas and build and run predictive models and utilise a range of statistical methods for analysing data Strategic thinking - can anticipate and resolve problems before they arise. Disclosure and Barring more »

the environment. In this newly created role, you will have full ownership of the full-stack environment. You'll work on a global water predictive modelling platform utilising Vue3, Nest, and PostGIS within Docker on AWS EC2. Your focus will be on optimising and evolving cloud infrastructure, with more »