1 to 25 of 41 Statistical Modelling Jobs in the UK excluding London

business export to 17 countries and have operations in the UK, Europe, USA and Australia. We are seeking a talented and experienced AI Data Modelling Developer to be a key player in our innovative and cutting-edge projects. If you're passionate about pushing the boundaries of technology and … experience in developing models with python to test control strategies for power flow in the energy or engineering sector, the role of AI Data Modelling Developer could be an opportunity to grow your career with in this very well-established yet rapidly growing firm. The role of AI Data … Modelling Developer will be responsible for the following areas: Using Python to simulate and model performance of electric power systems Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets Primary and secondary data collection, as well as compiling and maintaining more »

data to extract impactful insights Analyse vast amounts of data from across various areas of the business, finding trends through deep dive analytics and statistical modelling Use data modelling to predict trends and provide insights on future trends and company projects Focus on customer insights and understanding … your interest by sending your CV to Gerard Matthews via the apply link on this page. Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Insights more »

Manages conflict in a constructive and culturally appropriate way. Has the courage to assert own view and challenge appropriately •Data analysis: Techniques that include, statistical process control, reliability modelling and prediction, fault tree analysis •Common Vision: Understands and contributes to the business vision and strategy. Aligns work to more »

a cross functional team that works collaboratively with the platform and product engineering groups to implement and maintain real time process monitoring, informatics and modelling on Pharmaceutical Supply Chain (PSC) production and R&D Oral and Solid Dose (OSD) process platforms. The role is a key component for the … D site. Job Purpose: Reporting into the division’s Director (Oral Solid Dose MSAT), you will own and provide technical expertise for PAT and Modelling of production data with a One-Pharma team working in the R&D and manufacturing sites. Key elements of the role include: Managing the … applications, as well as collaborate with the wider PE&A (Process Engineering & Analytical) group to realize the full value of PAT and MSPM (Multivariant Statistical Process Monitoring) outputs. You will seek opportunities for interventions on platforms to positively impact quality metrics in the OSD production streams (using a full more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for pharmaceutical … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing to internal more »

analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role requires … them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide and nurture talent within data science team, fostering their growth, skill … needs of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in more »

SEC, HIC, PLRP, IEX, HILIC), CE-SDS, CIEF, UV and FTIR spectrophotometry. Experience of Quality by design (QbD) and Design of Experiments (DoE)/Statistical modelling methods & software packages an advantage. Excellent communication skills and the ability to deliver an effective presentation on technical content to a wide more »

in a clear, consistent manner Full proficiency in PowerPoint & Excel (medium) English: Fluent, written, and spoken Preferable: knowledge of advanced statistics (data mining; predictive statistical models; multivariate analysis, data processing) WHAT DO WE OFFER? Besides an attractive salary & compensation package, NIQ offers flexible working hours and working from home more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »

looking for: Experience in a General Insurance background with deep knowledge of Reserving, Solvency II and IFRS 17 An advanced understanding of mathematical and statistical modelling tools Experience managing stakeholders at all levels, and communicating in a governed environment. You'll also collaborate effectively, and be able to more »

Done: Demonstrated experience in leading high-performance data science teams. Proven track record of integrating data science into various business functions. Strong background in statistical modelling and analytics. What You Will Do: Leadership: Lead a cross-functional data team and drive the development of product research initiatives. Partner … shape business and data strategy. Educate and inspire team members through continuous professional development. Data Science and Research Analytics: Lead advanced quantitative analyses using statistical modelling approaches. Guide the implementation of new analytical and data products. Oversee the evaluation of third-party data sets to enhance our offerings. more »

funding, they're now looking at scaling their team as their client base and products expand. **Responsibilities:** - Analyze complex datasets using advanced analytical and statistical methods to uncover trends, patterns, and relationships. - Develop and deploy machine learning models for predictive and prescriptive analysis. - Create algorithms and statistical models more »

science & analytics. Embed the data function into different parts of the business (product, marketing, tech) and across product lines.. Lead advanced quantitative analyses using statistical modelling approaches. Investigate and implement new analytical and data products, determining the value of modern advances, i.e. AI/Generative AI Use a more »

Our people are responsible for a range of work, including: Building sophisticated models to assess risk and generate suitable prices for customers. Analysing new statistical models, building pricing structures in Radar (an algorithmic tool). Creating reporting suites and creating suitable algorithms for new propositions. Communicating complex ideas simply. more »

esteemed client, a leading innovator in data-driven decision-making, is currently seeking a proficient Data Scientist to contribute to their product strategy through statistical analysis. Renowned for their commitment to excellence and strategic vision, our client offers an exciting opportunity for a skilled individual to join their dynamic … team. Role Overview: The Data Scientist role offers a pivotal position within the client's organization, requiring a blend of statistical expertise and business acumen. The successful candidate will play a key role in shaping product strategy by conducting insightful analysis and presenting findings to stakeholders. This role presents … interpret data and inform strategic decision-making processes. Utilize coding proficiency in R and other analytical software to manipulate and analyze data effectively. Apply statistical methods to identify trends, patterns, and correlations, ensuring relevance to business objectives. Communicate complex statistical findings clearly to non-technical audiences, highlighting their more »

AI Data Modelling Engineer - £45K - Sheffield (Hybrid) A Sheffield based, forward thinking, and award winning business are looking to add to their existing team with the acquisition of a new AI Data Modelling Engineer. A role that will see the successful candidate developing models with python to test … right to work in the UK and no future sponsorship requirements. Responsibilities: Using Python to simulate and model performance of electric power systems Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets Primary and secondary data collection, as well as compiling more »

in the following: Qualified or nearly qualified actuary with relevant experience in the insurance industry. Strong analytical and problem-solving skills, with proficiency in statistical modelling and data analysis tools (eg, SAS, R, Python). Solid understanding of insurance principles and pricing techniques. Excellent communication and interpersonal skills more »

in the following: Qualified or nearly qualified actuary with relevant experience in the insurance industry. Strong analytical and problem-solving skills, with proficiency in statistical modelling and data analysis tools (eg, SAS, R, Python). Solid understanding of insurance principles and pricing techniques. Excellent communication and interpersonal skills 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 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, consulting in support of existing and new customer sales 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 more »

AI Data Modelling Engineer - £45K – Sheffield (Hybrid) A Sheffield based, forward thinking, and award winning business are looking to add to their existing team with the acquisition of a new AI Data Modelling Engineer. A role that will see the successful candidate developing models with python to test … the relevant right to work in the UK and no future sponsorship requirements. Responsibilities: Python to simulate and model performance of electric power systems statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets and secondary data collection, as well as compiling and more »

for seamless user experiences Enhancing search engine logic through machine learning for an optimised search experience Implementing collaborative-filtering approaches for personalised resource recommendations Statistical modelling and forecasting to meet user needs effectively Developing real-time data pipelines to address gaps in our product offering Optimising customer experiences more »

on smashing goals and loving what they do! If you're a Senior/Lead Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. more »

can learn more about 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 … future strategy of the 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 … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

the development of the inference engine leveraging digital signal processing techniques for feature engineering of two-dimensional time series data. Design, implement, and optimize statistical, deep learning, and ensemble models for microbial identification and antimicrobial profiling. Translate research findings and emerging machine learning technologies into practical applications within our … with 3+ years of relevant work experience. Strong expertise in feature engineering of two-dimensional time series data and digital signal processing. Proficiency in statistical modeling, deep learning, and ensemble methods. Experience deploying machine learning models in real-world applications, preferably in a medical context. Familiarity with model interpretation more »

Are you passionate about harnessing the power of AI to revolutionise energy management systems? Look no further! We are seeking a talented AI Data Modelling Developer with expertise in Python and a keen understanding of energy power systems. As part of our dynamic team, you'll have the opportunity … implement scalable and efficient solutions for data analysis and predictive modelling. Collaborate with cross-functional teams to integrate AI solutions into existing infrastructure. Conduct statistical modelling to identify energy trends, support energy planning and forecast utility consumption and budgets. Conduct research and stay updated on advancements in AI … and energy technology. Requirements: Proficiency in Python programming and experience with other relevant libraries and software. Strong understanding of data modelling, machine learning techniques, and statistical analysis. Knowledge of energy power systems, including renewable energy sources and grid optimisation. Excellent problem-solving skills and ability to work in more »