1 to 25 of 32 Permanent Predictive Modelling Jobs in the UK excluding London

Risk at the link below, risk.lexisnexis.com About our Team: You will part of a small team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role: We are looking for a Data Scientist to conduct statistical analysis and build predictive models for credit, fraud, and risk. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. They will balance day-to-day analytics assignments, research experiments and will contribute to the advancement of the global data science group. Responsibilities Building and testing … be used by existing and new customers Providing complex analytical results in clear, simple messaging to evidence the value provided by our products Following modelling best practices and provide feedback on ways to enhance current processes Providing technical support and be a resource to internal partners in Product, Technology 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++, Java, SQL) Familiarity with Big Data frameworks and 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 »

improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings, risks, and recommended 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 »

person A third level degree and significant experience in data science Strong skills in python, SQL, R Experienced building machine learning models, and releasing predictive models to production Experienced in solving business problems with data led solutions The salary for this role is up to £90,000, plus bonus more »

data quality are understood by stakeholders. Key Responsibilities Responsible for designing effective, efficient data models to support various types of data exploitation (reporting, analytics, predictive modelling) Lead the development and maintenance of the IM platform, setting coding standards. Design, implement, and maintain data pipelines for data ingestion, processing … data analytics, architecture and design including cloud/hybrid Solid in end-user and visualisation tools and proficient in equivalent technologies Experience in data modelling methodologies Experience with evolving technologies i.e. Big Data, Real Time Analytics, Predictive Analytics, Bots Experience with emerging practices i.e. Agile, DataOps 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 »

and dashboards to communicate insights effectively, preferably with experience in Excel and Power BI. Machine Learning: Understanding of machine learning algorithms and techniques for predictive modelling, classification, and clustering tasks. Database Management: Knowledge of database systems and SQL for querying, extracting, and manipulating data stored in relational databases. more »

and organizational needs and translate these into clear requirements for your analysis. Identify opportunities for the use of advanced analytics techniques (e.g., marketing analytics, predictive modeling, and machine learning) to provide additional value to clients. Use robust statistical techniques when appropriate and be able to communicate your methodology to more »

is responsible for and enhancing the business’s lead management and CRM capabilities BI analysts with accurate and relevant application data business insights and predictive models developed by the BI team into self-optimising, productionised systems within the wider business. The ideal candidate will be responsible for developing and 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 »

of extending) Start: ASAP Location: Remote (Candidates Must be in United Kingdom) Position Type: Freelance/Contract/B2B Summary: We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing … analytical skills, and the ability to translate complex data into actionable insights. How You’ll Make an Impact You will be responsible for: Develop predictive and probabilistic models to assess risk factors, including financial, operational, market, and technical risks. Communicate complex analytical concepts and findings in a clear and … You Bring (Skills, Capabilities) 5+ years of experience in data science, risk assessment, or a related field. Proven track record of developing and deploying predictive models and analytical tools. Experience with probabilistic modeling and risk management techniques. Experience in risk management or project management is highly desirable. Proficiency in more »

involves significant scientific discovery in AI and/or other scientific domains like health and medicine, physics, biology etc. Experience delivering solutions such as predictive models in domains where harnessing sensitive data ethically is core to the impact of the AI. more »

Pricing Analyst sought for by our client who is seeking a candidate with experience working in a Non-Life Pricing role and has built predictive models with various software packages to join them as a Senior Pricing Analyst. An ideal opportunity for a candidate with strong systems experience of … Radar, Emblem, Python and SAS to join as a Senior Pricing Analyst. Responsibilities of Senior Pricing Analyst: Build predictive models using SAS, Radar, Emblem, and other software packages Lead and oversee research efforts aimed at enhancing retail pricing effectiveness Develop a cutting-edge strategy that propels the company's more »

improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language, ideally Python but can also be Java or C/ more »

of the business. Act as the main point of contact for Data Science issues within that office. REQUIREMENTS: A strong background in forecasting/predictive modelling Experience in retail is a bonus Strong communication skills Degree in a relevant subject NEXT STEPS: If this role looks of interest 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. About The Role As a Senior Site Reliability Engineer, your purpose is to ensure that more »

improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings, risks, and recommended more »

R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictive modelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV in order more »

successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of more »

/s to help grow and develop the Data environment. Skills & Experience: · 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: · Up to £65,000 basic salary · Bonus opportunity more »

Pricing Analyst sought for by our client who is seeking a candidate with experience working in a Non-Life Pricing role and has built predictive models with various software packages to join them as a Senior Pricing Analyst. An ideal opportunity for a candidate with strong systems experience of … Radar, Emblem, Python and SAS to join as a Senior Pricing Analyst. Responsibilities of Senior Pricing Analyst: Build predictive models using SAS, Radar, Emblem, and other software packages Lead and oversee research efforts aimed at enhancing retail pricing effectiveness Develop a cutting-edge strategy that propels the company's more »