301 to 325 of 905 Predictive Modelling Jobs in England

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver … scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical … Scientists, Actuaries, and Product Managers Nice To Have Experience in UK motor insurance Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing Understanding of pricing modelling tools such as Akur8 or Emblem Experience with IaC (we use Terraform) Experience with gRPC/protobuf What’s it like to work at Zego? Joining Zego is a More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

Agile methodologies to deliver data science developments, and actively participating in hiring to build a robust data science team. The role may involve expertise in either machine learning (e.g., predictive modelling, classification, anomaly detection) or mathematical optimisation (e.g., scheduling, resource allocation, route optimisation). Candidates with a strong background in one area and interest in the other are … in SQL (any variation). Experience using Python to extract, manipulate, and summarize data from large databases. Proven expertise in managing teams that develop and deploy complex descriptive and predictive algorithms. Working knowledge of statistical techniques (e.g., time series analysis, multivariate analysis, forecasting) and/or mathematical optimisation methods (e.g., linear programming, constraint programming, heuristic approaches). Experience working More ❯

join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for … decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that drive business insights and decisions Ensure models meet regulatory standards and are well documented Present findings clearly and confidently to different … all kinds of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life. Skills you'll need: Expert in Python for data analysis, modelling, and building solutions Familiarity with working in a Linux environment Strong understanding of machine learning and data science Good experience in MS SQL Server Management Studio, MS Office, Power More ❯

s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We’re looking for a Junior Machine …//www.linkedin.com/in/cushen/), known for delivering innovative AI solutions at scale across marketing and customer experience. What You’ll Do Support the development of predictive models and data-driven solutions that solve real marketing and customer problems. Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling. Write clean, well More ❯

/Tableau/Looker, Google Analytics/Adobe Analytics). Proven experience leading projects in the marketing/ecommerce sector, with a strong understanding of customer lifetime metrics, cohort modelling, and performance marketing reporting. Ability to quantify the incremental uplift of partners’ marketing campaigns. Strong communication and presentation skills, with the ability to engage both technical and non-technical … leading projects independently. Desirable Skills: Proficiency in Python and Google Colab for advanced data processing. Experience with process mining technologies such as Celonis. Familiarity with AI-driven analytics and predictive modelling. Background in online grocery, retail, or logistics analytics. Willingness to travel internationally to meet OSP partners. What Do I Get In Return: 30 Day ‘work from anywhere’ policy More ❯

/Tableau/Looker, Google Analytics/Adobe Analytics). Proven experience leading projects in the marketing/ecommerce sector, with a strong understanding of customer lifetime metrics, cohort modelling, and performance marketing reporting. Ability to quantify the incremental uplift of partners’ marketing campaigns. Strong communication and presentation skills, with the ability to engage both technical and non-technical … members and leading projects independently. Proficiency in Python and Google Colab for advanced data processing. Experience with process mining technologies such as Celonis. Familiarity with AI-driven analytics and predictive modelling. Background in online grocery, retail, or logistics analytics. Willingness to travel internationally to meet OSP partners. What do I get in return: 30 Day ‘work from anywhere’ policy More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

deploy sophisticated computational models tailored for time series data across diverse industries. You'll lead the development of innovative solutions, driving our technological evolution with a focus on forecasting, predictive analytics and dynamic data modeling Key Responsibilities Specialize in Time Series Analysis: Design and implement machine learning models that excel in forecasting, anomaly detection, and pattern recognition within time … to model deployment Ensure Data Integrity for Time Series:Conduct thorough audits and cleansing of time series data, develop strategies for managing seasonality, trends, and noise to power insightful predictive models Develop Scalable Time Series Algorithms: Craft algorithms and models that are accurate and adaptable for time series data, ensuring reliable predictions and insights from evolving datasets From Prototype … ability to mentor teams and manage cross-functional projects Deep Learning for Time Series:Advanced knowledge in applying deep learning techniques (using TensorFlow, PyTorch) to time series data, enhancing predictive accuracy and model complexity Ethical AI and Continuous Learning:A strong understanding of AI ethics and privacy considerations, especially in the context of time series data, coupled with a More ❯

data. Your work will support and augment discretionary portfolio managers’ trading strategies and ideas, and help drive investment decisions. You will also work alongside quantitative researchers and help build predictive models from alternative data for systematic strategies. Responsibilities Generate insights and identify trends from alternative datasets; Project key performance indicators (KPIs) for various public companies in the healthcare, consumer … or industrial sectors; Work with other data scientists and quantitative researchers to identify and develop features useful for building predictive models; Present research to portfolio managers, investment teams, and other internal users; Stay abreast of alternative data developments and identify potential new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data More ❯

across our entire data science stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your models to production and optimise … quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong practical understanding of retail analytics More ❯

Amazon's businesses and locations around the world. Some of our work includes GenAI-powered writing assistance and insights, talent development and matching recommendations, experimentation and north star metrics, predictive and root cause models for talent events, voice of the customer qualitative analyses frameworks, and talent evaluation framework research. We are looking for an AI/ML scientist who … reach out to us to find out more! Key job responsibilities - Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders - Develop fair predictive models to understand important business and people-centered outcomes - Productionize ML and GenAI models at the scale of Amazon About the team ALX Science is an experienced central interdisciplinary More ❯

your time (this may change as the work of the unit evolves). Main duties of the job Plan, organise, and deliver data and analytics for projects, including: Building predictive models to forecast admissions/discharges, optimising resources and reducing bottlenecks in emergency departments. Analysing health disparities across populations by socio-economic factors, geography, or access to care. Applying … and communicating your work. Detailed job description and main responsibilities Data science function · Plan, organise and deliver the data and analytic aspects of projects. Projects could include: o Building predictive models to forecast patient admissions and discharges, helping optimise hospital resources and reduce bottlenecks in areas like emergency departments. o Analysing disparities in health outcomes across different populations, identifying More ❯

purchase, reconnection, and litigation services. The Role Perch Group are looking for a decision scientist to design and optimize data-driven solutions that support machine learning, statistical analysis, and predictive modelling. You’ll work closely with a team of analysts and the investment team to create high-quality, scalable data models that fuel AI-driven decision-making. This business … England, United Kingdom 3 weeks ago Manchester, England, United Kingdom 1 week ago Manchester, England, United Kingdom 3 days ago Manchester, England, United Kingdom 1 week ago Data Scientist (Predictive Analytics Specialist) Manchester, England, United Kingdom 2 days ago Data Scientist - (Senior AI/ML Engineer) Manchester Area, United Kingdom 2 weeks ago Manchester, England, United Kingdom 1 day More ❯

data-driven innovation. Collaborate with business leaders to understand data needs and deliver actionable insights that support performance improvement and strategic growth. Oversee the development of dashboards, reports, and predictive models to support key business functions. Drive the adoption of modern data platforms, tools, and technologies to improve accessibility and scalability. Monitor industry trends and emerging technologies to keep More ❯

the media and content space. Some key responsibilities of the role: Analyse large, complex datasets related to audience behaviour, website behaviour, content consumption, and engagement trends. Build and deploy predictive models using machine learning and time series algorithms to drive business decisions. Partner with Marketing, Sales, Product, and Engineering teams to shape data solutions and support product innovation. Run More ❯

and quarterly reporting processes. Conduct root cause analysis for service issues. Collaborate with operational teams to ensure data accuracy. Assist in audit preparations and data provision for reviews. Develop predictive models for asset management and lifecycle planning. Present findings to senior leadership and clients clearly and effectively. What does it take? If you're ready to contribute as a More ❯

organization. Provide mentorship and guidance to junior team members. Required Skills Proven experience as a Machine Learning Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling. Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally PyTorch/TensorFlow. Experience with machine learning operations (MLOps) and productionization of ML models. Familiarity More ❯

design and impact attribution Collaborate with cross-functional teams to surface strategic insights and greenfield opportunities Develop self-serve analytics tools, dashboards, and data literacy programs Build and maintain predictive models and use case clustering solutions Perform ETL tasks and model new data dimensions for strategic decision-making Attribute product and marketing impact to core KPIs with statistical rigor More ❯

and optimisation algorithms that drive media efficiency. Research and apply a broad range of data science methodologies, demonstrating a questioning mindset and resolving data issues. Use Python to create predictive models, analyze data, and build trends and behavioral predictions. Translate business requests into successful data science implementations in partnership with the product team and stakeholders. Understand project management at More ❯