101 to 125 of 256 Predictive Modelling Jobs in London

business functions to drive performance against strategic targets Identifying opportunities to enhance existing datasets and improve data quality Delivering advanced analytical projects using statistical modelling techniques Supporting process optimisation through data-led decision making Defining and delivering analytics strategy within your area of expertise Promoting best practices and continuous … initiatives Your Skills & Experience Strong commercial experience within marketing or customer analytics Advanced SQL skills and experience with Python or R Expertise in statistical modelling techniques such as regression analysis, clustering, and predictive modelling Experience leading analytical projects from concept through to implementation Ability to communicate complex ...

analytics frameworks, tools and methodologies that can be applied across multiple client engagements. Support the testing and adoption of AI-enabled analytics capabilities, including predictive modelling, automation and emerging GenAI use cases. Help identify repeatable client challenges and opportunities that could benefit from standardised analytical approaches. Partner with … work. Skills & Experience Experience working in analytics, data science, insights or research, ideally within a media, marketing or consulting environment. Experience applying analytics techniques, modelling approaches and emerging AI capabilities to support business decision-making. Hands-on proficiency in analytical tools and languages such as Python and SQL. Strong ...

logic, player scoring models, and lifecycle stage definitions. Establish A/B testing standards and support teams in designing, running, and interpreting experiments. Build predictive indicators for churn, reactivation potential, and player value to support proactive campaign strategies. Act as the analytical authority in cross‐functional discussions with Product … verbal communication skills – you can tell a clear story with data. Desirable: Familiarity with A/B testing methodologies and experiment design. Exposure to predictive modelling or working alongside data scientists on applied ML use cases (churn, LTV, propensity). Experience with event‐driven or streaming data environments. ...

business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions. You’ll Build and refine predictive models on multi-channel customer and usage data to drive product and marketing decisions. Collaborate with engineering, marketing, sales and product teams to define ...

Proven track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++ ...

events, and digital sales channels. Identify opportunities for new store openings through data analytics, including sales cannibalisation reporting between stores and channels. Develop predictive models, working with the Retail & Customer Experience Director and Head of Commercial Analysis, to support retail sales forecasting. Customer Insights & Reporting Design and deliver monthly ...

deliver real business value and are seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data-driven applications ...

leadership to shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention … lifecycle. Lead customer journey analytics across web and app experiences, identifying behavioural trends, friction points and opportunities to improve engagement, conversion and retention. Develop predictive models and analytical solutions that power personalised customer experiences, including Next Best Action, recommendations and intelligent decisioning. Influence product strategy and prioritisation through customer ...

leadership to shape data-driven digital experiences across our direct-to-consumer products. You'll own the Product Analytics strategy, roadmap and delivery, using predictive modelling, experimentation, behavioural insights and AI-driven decisioning to optimise customer journeys, accelerate product innovation, personalisation, and maximise customer engagement, personalisation, retention … lifecycle. Lead customer journey analytics across web and app experiences, identifying behavioural trends, friction points and opportunities to improve engagement, conversion and retention. Develop predictive models and analytical solutions that power personalised customer experiences, including Next Best Action, recommendations and intelligent decisioning. Influence product strategy and prioritisation through customer ...

holder will be a key member of the SBS & Cedant Facultative P&C Pricing and Modelling team supporting business written by SCOR (including SCOR Syndicate), focusing on Casualty lines of business. The work includes pricing of key individual accounts, working with Underwriters, developing and maintaining pricing models, conducting pricing … related analyses and any other ad-hoc reporting requirements. The job holder will also represent SBS Pricing & Modelling Team in any ongoing and future global projects. As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control ...

function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities Own and advance a predictive modelling platform that scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival … experiments to bring promising techniques into production safely. Build robust evaluation pipelines, training datasets, and model infrastructure to support continuous improvement of natural language & predictive analytics. Ensure responsible AI deployment, embedding ethical and regulatory considerations into every stage of development. Skills, Knowledge & Expertise Bachelor’s or Master’s degree ...

when required Lead the architecture and optimisation of Microsoft Fabric, Databricks & Power BI Oversee data engineering, pipelines, lakes, warehouses and integrations Drive advanced analytics, predictive modelling and ML Partner with senior stakeholders to turn data into actionable business insight Champion self-service BI and Power BI Own data ...

established data and AI business focused on developing innovative machine learning and analytics solutions that deliver meaningful real-world impact. Their platform combines predictive modelling, text analytics, and emerging AI capabilities to support complex decision-making at scale. As the organisation continues to grow, they are expanding their ...

user experience data and evaluate solution usability. Manage NPS and SUS programmes. Champion AI-first methodologies for insights delivery, including surveys, sentiment analysis, and predictive modelling Leverage carrier management agreements and internal data sources to inform strategic recommendations Manage external research agencies and budgets to deliver high-quality ...

Reporting to the Head of Data Science, you'll work at the intersection of skin biology, bioinformatics and AI to discover novel biomarkers, develop predictive models and translate complex biological datasets into scientific insights and customer-facing products. This is a hands-on, senior individual contributor role for someone ...

deliver real business value and are seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data‐driven applications ...

REST APIs and working with large JSON bodies Python and SQL experience is preferred Demonstrated experience in using adoption and health analytics to build predictive models and forecasts for churn and expansion; surface early risk signals and recommended mitigations to secure retention and growth Demonstrated experience designing and executing ...

Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM). Develop dashboards, charts, and visualizations to communicate insights effectively to clients … Share best practices within the team and contribute to knowledge-sharing initiatives. Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming. Actively participate in office meetings, training sessions, and team initiatives. Champion and role‐model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. ...

complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes … Python. Made better use of the data already available within Snowflake. Identified meaningful trends, opportunities and insights through analysis. Introduced more sophisticated statistical or predictive analysis where it adds value. What We're Looking For Essential Proven experience in data analytics, data science, statistics, business intelligence or a related ...

This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function. Location: London … discount strategy and governance Design tools and frameworks to support pricing decisions for high-value and high-risk segments Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions Provide technical mentorship ...

lifecycle, including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenanceShape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scalePartner with and influence stakeholders across the business to propose innovative data products that make the most of Trainline … Computer Science, Mathematics or a related quantitative discipline, or equivalent experienceConsiderable experience productionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systemsStrong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learnA solid grounding ...

including data exploration, feature engineering, model selection and tuning, evaluation, deployment and maintenance Shape technical direction for your area, making well-reasoned architectural and modelling decisions that stand up at scale Partner with and influence stakeholders across the business to propose innovative data products that make the most … Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area such as predictive modelling, classification, regression, optimisation or recommendation systems Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn ...

analyse performance of various products. Help us understand the profitable and less profitable sections of the website. Analysing patterns behind fashion sales (possibly some predictive modelling).Estimating likely returns from changes in strategy. QualificationsYou'll enjoy a good level of autonomy and be comfortable taking the initiative ...

delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic sourcing … risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights and inform business strategy. Design and implement predictive models toanticipatesupply disruptions, pricing shifts, and demand fluctuations. Collaborate withEngineering andProduct teams to productionize data science solutions withinClarusONE’stechnology platforms. Apply rigorous statistical techniques ...

data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning models and/or AI solutionsAre an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systemsHave experience with SparkHave knowledge of DevOps technologies such as Docker and Terraform ...