251 to 275 of 323 Statistical Modelling Jobs in the UK

STEM or Economics from a leading university (Russell Group or international equivalent). 1–4 years’ experience in a finance, data science, or investment-related role. Strong mathematical and statistical modelling skills and a foundation in quantitative methods (e.g., volatility, correlation, Monte Carlo simulations, VaR). Python to at least intermediate level. A natural problem-solver with a More ❯

strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a collaborative culture. This would be an … and trading pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast More ❯

strategies. They are looking for a Quantitative Researcher with demonstrated experience conducting alpha research on cash equities. The ideal hire would have experience applying machine learning and/or statistical learning techniques to develop models to enhance the trading process. The fund prides itself on its high-quality data, robust infrastructure, and a collaborative culture. This would be an … and trading pipeline, including Risk and Factor Modelling. Requirements Advanced degree in a quantitative field such as Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast More ❯

Lead and mentor a team of data scientists in building predictive models. Oversee data cleaning, feature engineering, and model development pipelines. Build and maintain robust, scalable linear regression and statistical models for KPI forecasting. Drive improvements in internal tooling and API integrations. Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions. … experience in data science or a closely related field. Proven leadership experience — mentoring or managing junior data scientists. Expert Python programming skills (essential). Strong grasp of linear regression, statistical modeling, and data processing best practices. Proficient in SQL (MySQL preferred). Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus. Familiarity with Docker, time More ❯

Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. ✅ What We’re Looking For PhD in a relevant field (e.g., Deep Generative … Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. More ❯

Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. ✅ What We’re Looking For PhD in a relevant field (e.g., Deep Generative … Models, TTS, ASR, NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to manage GPU-intensive data processing jobs. More ❯

large biological datasets and are comfortable manipulating these packages to identify hits for wet lab activity assessments. In particular, you will have knowledge of commonly used bioinformatics software and statistical models. - You have experience with machine learning techniques and large language model utilisation. - You understand higher-order protein structure, and are comfortable with conducting in silico design of next More ❯

large biological datasets and are comfortable manipulating these packages to identify hits for wet lab activity assessments. In particular, you will have knowledge of commonly used bioinformatics software and statistical models. - You have experience with machine learning techniques and large language model utilisation. - You understand higher-order protein structure, and are comfortable with conducting in silico design of next More ❯

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base models according to project specifications and ensure the robustness and … in Python and previous experience with R programming for MMM models. Strong experience with Pymc is essential. Experience with Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position More ❯

Leading pharmaceutical client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science team to build base models according to project specifications and ensure the robustness and … in Python and previous experience with R programming for MMM models. Strong experience with Pymc is essential. Experience with Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 6 month contract position More ❯

Hybrid | Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. 💼 Domain: Insurance 💰 Salary: £78,000 📅 Start Date: Mid … refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If More ❯

Hybrid | Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. 💼 Domain: Insurance 💰 Salary: £78,000 📅 Start Date: Mid … refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If More ❯

Hybrid | Insurance Domain We're looking for a talented Data Scientist to join our client in London on a hybrid working basis. If you're a technical expert in statistical modelling and machine learning, passionate about turning complex data into actionable insights, this could be the perfect opportunity for you. Domain: Insurance Salary: £78,000 Start Date: Mid … refining predictive models ● Conducting NLP-based data extraction ● Deploying models using cloud-based platforms for scalability Key skills we're looking for: ● Strong Python expertise ● Hands-on experience with statistical modelling techniques ● Familiarity with AWS SageMaker, Databricks, and similar tools ● Proficiency in NLP techniques (e.g., text extraction, classification) ● Prior experience deploying predictive models in the insurance domain If More ❯

turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and optimisation Build dashboards and visual tools to surface insights and trends … and best practices in data science What We’re Looking For Solid experience in data science, ideally within insurance or financial services Strong programming skills (Python preferred) Experience in statistical modelling, data wrangling, and analysis Familiarity with Azure tools (e.g. Data Factory, SQL, Synapse, Power BI) is a plus Effective communicator with the ability to work across technical More ❯

turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and optimisation Build dashboards and visual tools to surface insights and trends … and best practices in data science What We’re Looking For Solid experience in data science, ideally within insurance or financial services Strong programming skills (Python preferred) Experience in statistical modelling, data wrangling, and analysis Familiarity with Azure tools (e.g. Data Factory, SQL, Synapse, Power BI) is a plus Effective communicator with the ability to work across technical More ❯

turn complex data into actionable insight, build models, and help shape the future of digital insurance trading. What You’ll Do Analyse internal and external data to support risk modelling, pricing, and performance tracking Develop data science solutions using Python and statistical techniques to support automation and optimisation Build dashboards and visual tools to surface insights and trends … and best practices in data science What We’re Looking For Solid experience in data science, ideally within insurance or financial services Strong programming skills (Python preferred) Experience in statistical modelling, data wrangling, and analysis Familiarity with Azure tools (e.g. Data Factory, SQL, Synapse, Power BI) is a plus Effective communicator with the ability to work across technical More ❯

be responsible for developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting … the evaluation of business change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging trends in analytics and supporting the professional development of colleagues in the field. Engaging with internal … and external analytical communities to enhance best practices and support research-led improvements. Essential criteria: Educated to degree level or with equivalent relevant experience. Demonstrable expertise in statistical analysis, business intelligence, and the development of dashboards and reporting tools. Proven ability to interpret complex datasets and deliver actionable insights to senior stakeholders. Strong organisational and planning skills, with the More ❯

be responsible for developing and delivering high-quality analytical insights to support performance, demand management, and organisational change. This role requires a strong understanding of advanced analytical methods, including statistical analysis, data modelling, and business intelligence technologies. Key responsibilities will include: Designing and developing interactive dashboards and business intelligence applications that translate complex data into meaningful insights. Supporting … the evaluation of business change initiatives through the extraction, manipulation, and interrogation of data. Applying predictive modelling, operational research, and other advanced techniques to inform strategic direction. Advising stakeholders at all levels on data-led solutions that enable effective decision-making. Identifying emerging trends in analytics and supporting the professional development of colleagues in the field. Engaging with internal … and external analytical communities to enhance best practices and support research-led improvements. Essential criteria: Educated to degree level or with equivalent relevant experience. Demonstrable expertise in statistical analysis, business intelligence, and the development of dashboards and reporting tools. Proven ability to interpret complex datasets and deliver actionable insights to senior stakeholders. Strong organisational and planning skills, with the More ❯

This Asset Risk Senior Modeller role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. A growing Financial Services regulated … Modeller you will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer … customer pricing, and economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables You More ❯

our Decision Science team within Risk. The Risk team plays a crucial role in Funding Circle. They ensure our borrowers and investors get what we promise, use data and modelling to provide insights to the rest of the business, control and monitor the risk within our processes ensuring that we always deliver and they help us make data driven … decisions to guide our strategy. Funding Circle's Decision Science team is hugely influential to our overall lending process. They build statistical models and use advanced quantitative techniques to enable many different teams across the organisation to optimise business and lending strategies. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we … meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Report to the Chief Credit Officer, advising on the use of statistical models and advanced quantitative techniques to optimise business performance Working across our UK business, you will collaborate with experts in risk management, technology, data management, marketing, business operations to More ❯

will also be expected to undertake Data Science projects, including forecasting models, rapid feedback cycles, and advanced A/B testing. YOUR SKILLS AND EXPERIENCE Python SQL Experience using statistical analysis Modelling experience APPLY Register your interest by sending an email to Riversteytler@harnham.com or applying below. Please note our client cannot offer sponsorship More ❯

severity Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling Knowledge of R or Python More ❯

computer-generated speech in order to provide the best-possible experience for our customers As an applied scientist, you will work with talented peers to develop novel algorithms and modelling techniques to advance the state-of-the-art in spoken language generation. Your work will directly impact our customers in the form of products and services that make use … junior engineers and scientists - Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications - Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering Company: Amazon Qualifications: BASIC QUALIFICATIONS - PhD, or a Master's More ❯

this role, you’ll lead the development of credit risk models and decisioning strategies, using data from credit bureaus, as well as internal analytics. You’ll design and implement statistical models to assess risk, run A/B tests to refine our credit policies, and translate complex data into clear, actionable insights for the wider business. Your work will … to Work (No sponsorship is offered) Strong programming skills using Python/R/SQL Advanced Excel Experience with large scale data analysis Proven track record in credit risk modelling TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly chelsea.hackett@searchability.com. By applying for this role, you give express consent for us to process and … submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Python, R, SQL, Credit Risk Modelling, Excel, A/B Testing, Data Analysis More ❯

tooling. Lay the groundwork for Data Science - Act as the initial Data Science contributor for analytics and decision-support needs. Build foundational tools and frameworks for testing, metrics, and statistical analysis. Help shape the future team structure, tool stack, and hiring strategy. About You Must-Haves Experience delivering production-ready GenAI solutions Solid grasp of LLMs, prompt engineering, and … RAG workflows Familiarity with MLOps practices and deployment of classical ML models Competence in statistical modelling and A/B testing frameworks Proficiency in Python and at least one other programming language Strong understanding of cloud environments (ideally AWS) Proven team leadership and mentoring capabilities Excellent communicator with strong stakeholder influence skills Nice-to-Haves Experience with AWS More ❯