1 to 25 of 26 Permanent Predictive Modelling Jobs with Hybrid or WFH Options

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

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 »

of working from home and office. What's involved? Managing a team of Pricing Analysts and Senior Pricing Analyst. Develop, validate, review and approve predictive and machine learning models. Lead the pricing strategy development process, including pricing optimisation and analysis. Conduct comprehensive market research to identify pricing trends and … Experience in insurance pricing or related analytical background. Highly skilled in the use of programming language e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. 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 »

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 »

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 »

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 »

relentlessly improve our recommendations system that delivers results for our clients by harnessing the power of machine learning, next-gen AI, LLMs, user behavioural modelling, and personalization! The ideal candidate will possess a technical background in machine learning technologies, proven product leadership experience, and a passion for data-driven … and managing products is essential. Current knowledge of machine learning, artificial intelligence, and data analytics platforms. Experience with modern recommendation algorithms, personalization techniques, and predictive modeling is required. Proven track record to lead, inspire, and grow teams in a fast-paced environment. Should possess strong mentoring and coaching skills … language models and how they can be applied in our recommendation systems. Past experience scaling Next Best Action Recommendation system. Experience with marketing attribution modelling is a bonus. Understanding of the Pharma/Healthcare regulatory environment is a bonus. Benefits Competitive salary and benefits package that reflects the value more »

to help role out and align data initiatives within the business. These may span across marketing, commercial, product development, and customer experience Help deploy predictive models to help develop customer personalisation Spearhead the creation of actionable insights across the business Coach, develop and lead a growing team WHAT WE … a consumer tech business/environment (B2C) Previously driven change in a business and championed data initiatives Previously worked in customer personalisation and leveraged predictive analytics to enhance customer journey/marketing personalisation Exceptional communication skills with gravitas for handling C-suite stakeholders Able to be hands-on to … days, please take it as you have been unsuccessful on this occasion Desired Skills and Experience SQL, data visualisation, director of data, stakeholder engagement, predictive analytics, data science, data engineering, product management, product analytics, team management, leadership, data analytics, data analysis, Python 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 »

LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team of data scientists. You … team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and other analytical product features … collaboration with other business teams runs smoothly. Supporting senior leaders to shape and deliver our data science strategy. Running analytical research projects and building predictive risk models as required. Requirements Experience of leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written more »

to redefine the future of marketing through the power of data and technology? As a Senior Data Scientist, you'll design, build and implement predictive models aimed at enhancing media performance, customer experiences, revenue efficiency, and various business outcomes. What You'll Do: Designing and predicting models to optimise … Opportunity to contribute to new & existing business pitches We’d love to see: Strong proficiency with Python and SQL Extensive Machine Learning experience: forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks Cloud platform experience (AWS preferred) Adobe analytics & sales platform experience is a bonus Previous experience 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 »

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 »

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 »