1 to 25 of 110 Permanent Statistical Modelling Jobs in the UK

with expert knowledge and experience relating directly to the delivery of this Technology Specialist role. Demonstrate at least 7 years of experience leading simulation, modelling and analytical studies, including one or more of: Discrete Event Simulation; System Dynamics; Agent Based Modelling; Mathematical and Statistical Modelling; Spreadsheet … Modelling; Cost Modelling and Estimation; Mathematical Programming and Optimisation (linear/non-linear optimisation, constraint programming, heuristic optimisation); Kinematic modelling, virtual build simulation/virtual validation and commissioning, 3D modelling; Digital integration such as multi-methods or augmented intelligence. In addition to you specialist field, you … manufacturing industrial application. You will have an in depth understanding/appreciation of the challenges in the adoption of digital technologies in respect to modelling and simulation. Expertise in one or more technologies that contributes towards delivery of Digital Engineerings strategicvision of: virtual manufacturing validation, digitally assisted design, model more »

client. This is a hybrid role based in the UK. The ideal candidate will have a strong background in data science, machine learning, and statistical modelling, with a proven track record of driving impactful business outcomes in the fintech space. As a Senior Data Scientist, you will lead … data collection and pre-processing to model deployment and performance monitoring. Ensure scalability, robustness, and reliability of data science solutions. 2. Advanced Analytics and Modelling: Utilise statistical and machine learning techniques to analyse large, complex datasets and derive actionable insights. Develop predictive models for credit scoring, fraud detection … in programming languages such as Python, R, or Scala. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate flexibility … agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and more »

About this role The AI Labs team works collaboratively; and is a multi-disciplinary team with the following skills and capabilities: optimization, machine learning, statistical modeling, exploratory data analysis, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, project/product management and more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

process the data of different modalities (sequence, structures, experimental measurements) and curate them for data analysis and machine learning. Conduct rigorous data analysis and statistical modelling to interpret the data and model performance. Report results clearly and efficiently, both internally and externally, verbally and in writing. Write high … of molecular biology, structural biology, immunology, or a related discipline, demonstrated via previous work or publications. Data science and statistics experience including data visualisations, statistical testing, etc. Proficient in writing clean and maintainable code in Python. Strong desire to work with biological applications. Excellent communication skills in English and more »

learn more about LexisNexis 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 credit and fraud risk statistical models to 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 more »

as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and very collegiate fund with a progressive and positive working culture more »

. That said, candidates with experience working within interest rate trading are particularly welcomed. You must be able to demonstrate an ability to understand statistical analysis and modelling. This is an excellent opportunity to join a highly successful and collaborative fund with a progressive and positive working culture that more »

or mathematical models. Strong proficiency in programming languages such as Python, Java, or R, with experience in test automation and scripting. Solid understanding of statistical methods, mathematical modelling techniques, and data analysis tools. Familiarity with regulatory requirements and industry standards related to model risk management (e.g., SR more »

adjusted returns. Quantitative Developer Position: The successful quantitative developer candidate will join our betting solutions team. These solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; performance analysis through back-testing and simulations. more »

and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient … in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques … to provide analytical solutions Evaluating modelling results and communicating the results to technical and non-technical audiences. Required Technical and Professional Expertise Combines deep data and analytics skills with strong business acumen to solve business problem of Cognitive Computing Solutions. Expected to have expertise of Advanced Analytics techniques that more »

Data Scientist in the ad-tech/mar-tech or data analytics companies, including the following experience in: business intelligence, data mining, analytics, and statistical modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing … data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our Engineers and Data Scientists do more »

for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. … development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to business strategy Apply statistical methods to predict future client business outcomes Participate in due diligence of investment proposals as a Technology expert Evaluate 3rd party solutions for functionality more »

opportunity for idea generation and chance to directly influence PnL. Your Role: Devise and upkeep automated futures - and broader market - forecasting strategies Implement advanced statistical and machine learning techniques to search for alpha signals Exposure to entire research cycle - from data gathering and idea generation to signal implementation, back … quant analyst Prior exposure to futures products - EU or US - with holding periods intraday and shorter. Technically strong and Python proficient Advanced competence in statistical modelling (Bayesian, stochastic, time series etc.) and/or machine learning. Pre-Application: Please do not apply if you're looking for a more »

Global Product team. About the Project/Role The key area of focus for the role is the development and improvement of mathematical and statistical models demonstrating different data sets both at panel level and at census level. These will include Kantar’s internally owned data and data from … frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they integrate seamlessly into existing … deploying models into production environments efficiently. Conduct thorough data investigations to ensure the quality and completeness of datasets and oversee quality control measures for modelling outcomes. Actively engage in team knowledge-sharing sessions and deliver presentations to discuss findings, insights, and methodologies across the team and broader organisation. Take more »

fine tune parameters to improve strategy performance. The candidate can expect exposure to a wide range of interesting and challenging problems involving financial market, statistical modeling, machine learning, deep learning, and computational finance. Required Core Competency Deep understanding of financial markets and market micro-structure Exceptional analytical and problem … solving skills and strong track record of using creativity to come up new HFT/MFT trading strategies Hands on knowledge in applying statistical and machine learning methods to financial data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors more »

of pricing strategies in a B2B company Superb business acumen Comfort working with varying teams and seniority levels Excellent understanding of how to interpret statistical and financial analysis Knowledge of data process to manage projects with Analytics team. Successful in making and informing data-driven decisions Expert Excel knowledge … business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »

exchanges and markets to generate risk adjusted returns. About the role The successful quantitative researcher candidate will join the London solutions team, developing mathematical, statistical, and AI models and high-performance algorithms to predict the outcome of sporting events with a predominant focus on horse racing. You will work … of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python, Pandas and SQL/NoSQL Beneficial knowledge of data science packages, sk-learn, scipy, tensorflow more »

Statistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and … integrity of the data, detecting anomalies or discrepancies. • Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical … to project needs. • Prototype data models to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel more »

business decisions, as well as software and product development activities. What you’ll do: Support data extraction and analysis for clients Build and review statistical models to predict customer behaviour as risk and demand. Develop and implement pricing strategies. Synthesize and communicate strategic recommendations to key internal and client … RFP responses, proposals, presentations, and other technical sales support as needed. You’ll do it using: Experience in the analytical world - data science, BI, statistical, or economic consulting Good working knowledge of modern data science analytical tools: Python, R, etc. Excellent communication, writing, and interpersonal skills Willingness and flexibility more »

capabilities. Job 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 more »

analytics to support the model development process as a data analyst. The wider team are responsible for developing, implementing, and executing a range of statistical and econometric models that support the bank’s wholesale and divisions. This role will support the efforts of capital (AIRB) and IFRS9 models and … or preparing meeting minutes, reporting on process and control environment and managing control remediation activities • Leading the delivery of regulatory-compliant data for credit modelling • Delivering change that enhances the efficiency or effectiveness of Credit Insight and Analytics analytical outputCandidates could come from a variety of backgrounds, most likely … credit modelling, credit risk, credit data or similar. Key skills needed – understanding of the credit modelling process and the data requirements for the same, good technical skills (Python/SAS/SQL/AWS), some experience working on projects either as an SME or BA.Our client is committed more »

analytics to support the model development process as a data analyst. The wider team are responsible for developing, implementing, and executing a range of statistical and econometric models that support the bank’s wholesale and divisions. This role will support the efforts of capital (AIRB) and IFRS9 models and … or preparing meeting minutes, reporting on process and control environment and managing control remediation activities • Leading the delivery of regulatory-compliant data for credit modelling • Delivering change that enhances the efficiency or effectiveness of Credit Insight and Analytics analytical outputCandidates could come from a variety of backgrounds, most likely … credit modelling, credit risk, credit data or similar. Key skills needed – understanding of the credit modelling process and the data requirements for the same, good technical skills (Python/SAS/SQL/AWS), some experience working on projects either as an SME or BA.Our client is committed more »