151 to 175 of 694 Statistical Modelling Jobs in England

gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Communication Skills: Strong ability to communicate More ❯

analysis. Hands-on experience with data visualisation tools like Looker. Experience with dbt for data transformations. Familiarity with cloud data warehouses (e.g., Snowflake) and marketing analytics platforms. Understanding of statistical models, attribution, and lifetime value (LTV) calculation methods. Python (Nice to Have): While not essential, knowledge of Python or R for advanced analytics is a plus. Soft Skills: Strong More ❯

the retail, financial, property, leisure and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member of our team. Are you … will lead projects on your own. Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine … BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator with the More ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity A track record of building relationships with More ❯

mathematical models that predict damage caused by tropical storms, extra-tropical storms, thunderstorms, coastal floods, freshwater floods and tsunamis. We use a combination of observed data, reanalysis data, numerical, statistical and engineering models and data assimilation. We are the pioneers in the development and application of complex statistical and numerical modelling methods for the quantification of natural … the scientific and technological development of the large scale flood hazard model components, as well as to their application: space-time stochastic rainfall model, rainfall-runoff processes, hydraulic routing modelling, high-performance models for floodplain inundation and defense failure mechanisms Furtheradvancement of flood hazard models by researching and implementing novel scientific techniques (e.g. Machine learning in flood prediction, inundation … validate model components throughout the comparison to observed data including benchmarking of flood inundation maps Evaluate final model output (e.g., flood footprints, flood losses and their spatial patterns using statistical methods and GIS tools) Advancement of our models through research and implementation of novel scientific techniques (e.g. meteorological drivers of extreme floods, large scale patterns of flooding, trends and More ❯

at Haven, playing a key role in automating and optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights that … power better outcomes. Your Opportunity: Apply advanced statistical and machine learning methods to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and … of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We’d Like You to Bring: Strong proficiency in statistical analysis, machine learning, and predictive modelling Advanced knowledge of programming tools such as Python, R, and Microsoft SQL Proven ability to translate complex data into meaningful business recommendations More ❯

and e-commerce leaders to offer flexible, branded financing to their merchant bases through a cutting-edge software. The Role Perform in-depth portfolio-level credit risk analysis using statistical methods and data modelling Monitor and evaluate customer segment performance to identify risk trends and opportunities Contribute to the design and enhancement of credit risk policies, pricing models … presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and modelling Salary & Benefits Base salary between £60,000 and £80,000 Annual bonus up to 15% Stock options Private medical insurance (Vitality) Enhanced maternity and paternity leave Employee Assistance Programme More ❯

and e-commerce leaders to offer flexible, branded financing to their merchant bases through a cutting-edge software. The Role Perform in-depth portfolio-level credit risk analysis using statistical methods and data modelling Monitor and evaluate customer segment performance to identify risk trends and opportunities Contribute to the design and enhancement of credit risk policies, pricing models … presenting technical results to non-technical stakeholders Excellent attention to detail and analytical problem-solving Desirable Skills Experience in SME lending environments Familiarity with Python for data manipulation and modelling Salary & Benefits Base salary between £60,000 and £80,000 Annual bonus up to 15% Stock options Private medical insurance (Vitality) Enhanced maternity and paternity leave Employee Assistance Programme More ❯

and Week-Ahead optimisation shifts Communicate time critical information to the traders Ensure compliance with regulatory requirements, including REMIT, through the consistent application of defined processes. Main Development/Modelling Responsibilities The short-term power market analyst is responsible of the whole life cycle of an application or a model: from the research/design to the development/… implementation and the maintenance. The analyst is autonomous on his/her projects and is responsible of critical applications. Example of models/applications/solutions: Fundamental and quantitative (statistical, data science driven) models to better anticipate market behaviour and improve price forecasting models. All components of the market could be addressed like load forecast, competitors’ orders, availabilities, etc... … with the aim of improving the overall management of the EDF portfolio and wholesale market positions. It is as well necessary to be proactive in the research of market modelling improvements to succeed in this position. Technical requirements Fluent in French & English Educated to master’s degree level, preferably with a high statistics or mathematics component Experience of building More ❯

across the business. Develop, improve, and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, and product, to ensure data-driven decision-making aligns with … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with … Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Package Description Our benefits package increases the longer you've been with us. Here's what to expect: 25 days' holiday (increasing by 1 per year up More ❯

Data Scientist to join our team and play a key role in fulfilling our mission to bring people closer to love. Concretely, this means exploring our large datasets, developing statistical models and being comfortable working with machine learning to improve the recommendation models and product experience for our members. With millions of images and messages exchanged on our platform … the business and present at top conferences WE’D LOVE TO MEET SOMEONE WITH: A degree in mathematics or a similar quantitative discipline like economics or social science Strong statistical modelling background - hypotheses testing, inference, regressions, random variables Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with … keen to learn and develop themselves professionally AN ADDED BONUS IF YOU HAVE: An understanding of multi-sided markets and/or dating problem space Experience in using advanced statistical methods to solve problems. This can either be through academic projects and publications, or experience analysing and solving problems within industry Understanding of Machine Learning development lifecycle Hands-on More ❯

on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and … quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to More ❯

on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Machine Learning Operations. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and … quality. Software Development. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to More ❯

the in's and out's of a niche FS Employer. About the Role These roles are about pricing portfolios or optimising operations by analysing data, building and maintaining statistical models and leveraging your coding skills to provide actionable insights. You’ll manage the application of Decision/Data Science techniques, you’ll create and maintain models and above … Mathematics/Operational Research/Stats or similar Quant. Experienced - be it in Data Science, Insight, Risk, Data Analytics - anything using Analytical and Problem Solving skills. You’ll have Modelling skills. Coding ability in Python and ideally some SQL. These are key roles in a firm who are currently undergoing exponential growth - it’s an exciting time to join More ❯

clear insights that influence product strategy and development. The mission of Data Scientists is to improve customer and business outcomes through better automated decision-making, using Machine Learning and Statistical Modeling. What you'll be doing: Create impactful insights and drive Continuous Product Improvement : Provide data-driven recommendations for feature prioritisation, product roadmap adjustments, and iterative product improvements based … and engineering teams. Drive Innovative Ideas : Propose novel solutions and use data story telling to inform product strategy. Shape product strategy and work with key stakeholders. Experience with Data modelling and managing an Analytics Pipeline is desirable but not required. Role Requirements: Experience in building and launching AI products and familiarity with ML/methods 3+ years of experience … hypothesis testing, confidence intervals, and bootstrap. Strong understanding of experimentation methodologies (A/B testing, multivariate testing, etc.) and their application in product decision-making. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Experience with end-to-end model development and maintenance of ML models used for business More ❯

leave pay and free membership of employee assistance and parental programs, plus reimbursement towards relevant professional development and memberships. About the opportunity We are one of the largest transport modelling teams in the UK and Europe and offer unparalleled diversity of projects and exposure to different types of clients in the UK and internationally. Such depth offers opportunities for … a range of career paths whether it is technical excellence, technical leadership or management roles. We are a friendly team with a number of modelling excellence centres in the UK, Poland and India. We operate without divisions as One Jacobs, with management practices and systems designed to take down regional barriers and encourage cross-office working. Our Transport Team … and Strategic Modelling. We are looking for candidates with experience in one of the below : * Transport Data science and engineering * Big data applications in transport modeling * Machine Learning and statistical techniques * Discrete choice model estimation We are looking for following experience : * Numerate degree (Mathematics, Statistics, Physics, Programming, Data Science) or equivalent quantitative background * Proficiency in Python or R for More ❯

Key Skills & Experience Proven Expertise: At least 5 years of hands-on experience in AI, Data Science, and Analytics, particularly in the full machine learning lifecycle. Solid expertise in statistical modelling and natural language processing is essential. Team Lead/Management experience Gen AI Passion: A true enthusiast for Generative AI with a keen interest in demonstrating how More ❯

London. Purpose of the role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and … risk management across various financial products and markets. Working closely with sales teams to identify clients' needs and develop customised solutions. In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics. Provide front office infrastructure support though ownership and maintenance of analytical libraries. Provision of expertise on quantitative methodologies, technological More ❯

roles within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has to offer to unlock business More ❯

Analyst, Data Scientist or similar. Proven experience and strong knowledge of regression analysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent proficiency in SQL to and working with data warehousing technologies (e.g. Snowflake, Databricks). Ability to use data More ❯

strong programming skills in Python, Java, or similar languages. You have hands-on experience processing with large tick datasets and research at scale. You demonstrate in-depth knowledge of statistical modelling and inference, machine learning, and optimization techniques. You have proven experience in quantitative trading with a demonstrable track record. You have an excellent problem-solving and analytical More ❯

and Technology Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Logical thinking and problem solving Strong communication skills Statistical Modelling and experience of applying data science into client problems What You Can Expect From Us We won’t just meet your expectations. We’ll defy them. So More ❯

track performance metrics. Coordinate with internal teams to assess impacts of communications activities. Manage the central repository of reputation and brand data. Handle contracting and invoicing with agencies. Conduct statistical analyses on datasets for driver analysis. Design surveys and data sourcing strategies ensuring statistical relevance and cost efficiency. Qualifications Master’s degree in Computer Science, Data Science, or … related field. Minimum 15 years of experience in data science or analytics. Strong communication and presentation skills. Extensive experience in research, data analysis, visualization, machine learning, and statistical modeling. Proficiency with tools like SPSS, Power BI, Tableau, Pulsar, and audience intelligence software. Proficiency in Python, R, and SQL. Work Environment We offer challenging projects, competitive remuneration, and extensive talent More ❯

bad debt across Amazon. As a data scientist in risk mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce bad debt. You will need to collaborate effectively with business and product leaders within BRP and cross … complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon’s platform and transactions Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation … diverse audiences with effective writing, visualizations, and presentations BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance More ❯

and 3rd party panels to test fast-evolving hypotheses. Design and automate reporting processes , bringing visibility to crucial metrics and freeing teams to act on what matters most. Build statistical models and algorithms to detect patterns and opportunities for optimisation. Create compelling data visualisations using Grafana and Power BI to track performance in real time. Communicate complex analytical findings … across the business. YOUR SKILLS AND EXPERIENCE: The ideal Senior Data Analyst will have: Proficiency in Python or R , with hands-on experience building analytical models. Strong knowledge of statistical techniques , from regressions to machine learning algorithms. Excellent SQL and data manipulation skills , with experience working on large, complex datasets. Familiarity with cloud data platforms such as AWS, Azure More ❯