76 to 97 of 97 Statistical Modelling Jobs

analytics efforts across large-scale, complex systems Ability to obtain and maintain a Public Trust clearance Technical Capabilities Deep expertise in machine learning, statistical modeling, and advanced analytics techniques Experience implementing end-to-end MLOps pipelines including model training, validation, deployment, monitoring, and scaling Experience with NLP, LLMs, deep … capabilities across data science and analytics teams Ability to operate in complex, fast-moving, multi-contractor delivery environments Nice to Have (Differentiators) Experience supporting statistical and similarly large-scale federal modernization programs Experience implementing enterprise AI governance or responsible AI initiatives Experience with event-driven architectures, streaming analytics ...

center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed … way. To bring our vision to life, as a model developer and data scientist, you can expect to: Conduct model development, experimenting with various statistical methodologies to improve model performance; Leverage alternative data sources along with various feature selection and engineering techniques to enhance in market models; Develop next ...

disputes and SEP/FRAND issues Analysing patent datasets and delivering clear, actionable insights to clients Reviewing patent licences and assisting with economic and statistical modelling Contributing to patent intelligence, valuation and royalty rate assessments Benefits Competitive, market-leading salary and bonus structure Agile and flexible working arrangements ...

looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning ...

hands-on role for someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. … complex, ambiguous problem statements into clear, actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured ...

future needs Applicants need to have: Strong software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application Due to the nature ...

Analytics Hub function and areas that feed into the team. We would like you to bring in experience of using techniques such as regression modelling, significance testing, forecasting and multivariate analysis to uncover significant patterns in sophisticated data. Develop, compose, implement and evaluate hypothesis-driven experiments, using frameworks … partnering with operational leaders to identify risks, opportunities and continuous improvement initiatives. Key Skills & Experience Strong analytical background with experience building and maintaining statistical and predictive models Advanced in SQL and Python Expertise in regression modelling, forecasting, significance testing and multivariate analysis Experience designing and evaluating hypothesis-driven ...

field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists in high stakes modelling environments/… Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/li , li Familiarity with model evaluation ...

Data environments. Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms. Strong Python skills for data manipulation, statistical analysis and predictive modelling. Proven experience developing and optimising predictive analytics or revenue-driving data science models. Experience with propensity modelling or customer … growth modelling would be highly beneficial. Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences. Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders. This role would suit someone who enjoys combining deep technical data expertise with commercially focused ...

processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk … only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. ...

grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN. This team works alongside the Data Scientists to build complex algorithms to support … mathematical and statistical problems. What will you do? Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings Own the full life cycle from concept, to research, through to productionisation and performance monitoring Collaborate closely with data scientists and quant researchers ...

across multiple departments. Desirable Experience working within Sales Operations or a similar business environment. Knowledge of CRM systems and data integration workflows. Familiarity with statistical analysis and data modelling techniques. Qualifications Experience within a data, BI or reporting-focused role. Relevant training or certification in data analytics ...

data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. You will also combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Ultimately, you will deliver high-impact strategic insights on market sizing and customer propensity … strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python skills for data manipulation, statistical analysis, and predictive modelling. Proven experience developing, validating, and optimising data science models that directly drive revenue growth and commercial performance. Experience with propensity modelling ...

models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. Run complex statistical experiments to test model performance and validate hypotheses. Work closely with Product and Engineering to move models from prototype into scalable, production-ready solutions. … text generation or data synthesis. Advanced Python skills within a data science and machine learning stack, alongside strong SQL capability. Solid grounding in statistical methods, experimentation and model evaluation. Experience working with large-scale datasets and modern data platforms. Ability to explain complex technical concepts clearly to non-technical ...

cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models … Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ...

data science and analytics solutions to solve complex business problems * Building internal tools and contributing to the development of data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large … Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes * Experience working in cross functional teams, ideally alongside ...

material scientists, test engineers and other subject matter experts to extract value & insights from our data. You will also assist in developing mathematical/statistical models to uncover correlations and causal relationships among metrics characterizing the performance of magnetic storage media. This is an exciting opportunity at the intersection … data engineering, statistical modeling, materials science and physics. ESSENTIAL DUTIES AND RESPONSIBILITIES In collaboration with fabrication experts, measure, analyze and develop understanding of experimental samples Apply advanced technical expertise to understand complex problems Help develop and implement innovative solutions for complex and specialized technical issues Provide regular technical advice ...

actuarial pricing solutions within insurance Strong understanding of insurance products and pricing methodologies across relevant lines Solid knowledge of actuarial methods, rating concepts, statistical techniques, modelling and pricing governance Experience working with clients on transformation or implementation programmes Ability to operate in cross-functional agile teams and work ...

strategies. Testing, validating, and debugging non-deterministic AI systems. Advising stakeholders on the risks, limitations, and appropriate use cases for AI technologies. Determining when statistical models, traditional machine learning approaches, or deterministic logic are more suitable than generative AI. Driving engineering best practice across AI development, deployment, governance … experience with demonstrated technical leadership. Experience integrating AI capabilities into production applications and business workflows. Strong understanding of LLM architectures, machine learning models, and statistical methods. Practical experience building and deploying RAG solutions. Experience evaluating AI systems and improving reliability, safety, and performance. Strong software engineering, architecture, and systems ...

London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company … data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. ...

Rate: £402 per day all inc. (PAYE through Umbrella) Role Description: SAS Model Development & Enhancement (SAS Model Developer) 1. Design, develop, and implement statistical, pricing, or predictive models using SAS. 2. Build modelling datasets, feature engineering pipelines, and variable transformations. 3. Implement model logic, segmentation rules, scoring code … experience in: 1. SAS Base, SAS Macros, Data Step programming 2. SAS SQL 3. SAS Enterprise Guide or SAS Studio Strong understanding of modelling concepts such as: 1. Regression (linear/logistic) 2. Time-series forecasting 3. Segmentation models 4. Risk, pricing, or predictive modelling Experience with model ...

full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment. Key Responsibilities * Design, develop, and enhance statistical, predictive, and pricing models using SAS * Build modelling datasets, feature engineering pipelines, and variable transformations * Develop SAS programs using: o Base … Experience across: o SAS Base o SAS Macros o SAS SQL o SAS Enterprise Guide/SAS Studio * Experience developing and deploying predictive or statistical models * Strong understanding of: Regression models , Forecasting, Segmentation , Risk or pricing models * Experience working across the full model development lifecycle * Strong data analysis, transformation ...