51 to 75 of 97 Statistical Modelling Jobs

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

with colleagues for the purpose of collecting and structuring data. Collect, audit, compile, and validate data from multiple sources. Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs. Communicate and work with diverse organizations … degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field 5+ years of experience supporting solutions implemented in DoD. Experience in statistical modeling. Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL. Experience using Python or R packages and libraries (e.g. ...

targeting Taking models end to end from problem definition through to deployment and monitoring Working with stakeholders to translate business questions into robust modelling approaches Partnering with engineers and analysts to productionise models and embed them into customer journeys Contributing to the development of a new Data Science platform … this role, you will bring: Strong commercial experience in Data Science or Machine Learning within a real-world environment Advanced Python skills for modelling and analysis, with solid SQL capability Experience delivering end-to-end data science solutions, including deployment Exposure to forecasting, statistical modelling or applied ...

Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands ...

such as financial mathematics, statistics, engineering, physics, or economics. Credit risk modeling or analytical experience in banking or financial service industry including knowledge of statistical model development or validation, utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design or specification, model performance assessment. ...

large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering … Scientist, and wider data and commercial teams. Key responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development ...

SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency in SQL for extracting, manipulating … question, and challenge assumptions. Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems. Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations. ...

meetings, with each trip lasting 6-10 days. Candidate duties will include: Automate reports by integrating data from internal and third-party systems using statistical programming and analytical tools. Conduct quantitative analysis of cost and operational data, including regression and variance analysis, to identify trends and areas for improvement. … Develop dashboards and data visualizations using business intelligence tools to support decision-making and communicate statistical findings. Apply statistical and machine learning models to support forecasting, hypothesis testing, and behavioral analysis. Clean, transform, and standardize datasets for accurate and consistent statistical analysis. Design and evaluate experiments ...

generation commercial tooling The Role The Graduate Analyst will work closely with the Head of Commercial to lead advanced pricing analytics, forecasting, and commercial modelling across both fuel and non-fuel product portfolios. This is a highly analytical, hands-on role sitting at the centre of pricing decisions, revenue … Python to extract, manipulate, and analyse large, complex datasets Develop dashboards and visualisations to communicate pricing performance and commercial insight Support scenario modelling, sensitivity analysis, and business case development with Finance Contribute to the optimisation of pricing strategies across a diverse customer and product base Your Experience ...

Quantitative Analyst (or similar), delivering pricing and risk metrics for complex derivatives and structured products Excellent understanding of a variety of mathematical and statistical models, stochastic calculus in particular, and their use in finance Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject Familiarity ...

focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data … sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong ...

Senior Data Scientist who's moved beyond traditional modelling into LLMs, GenAI, and production AI systems I'm hiring for a Senior Data Scientist to join a high-impact AI team within a leading consumer-focused organisation. This is a hands-on, end-to-end AI role working … Docker, Kubernetes, APIs What you bring Core requirements 5+ years in data science/machine learning Strong foundation in traditional ML (e.g. XGBoost, regression, statistical modelling) Hands-on experience with LLMs/GenAI/NLP/AI systems Experience deploying models into production (not just experimentation) Familiarity with ...

manipulating large-scale customer, transactional, or behavioural datasets to deliver accurate, high-impact analysis independently. Experience in using advanced analytical techniques (e.g. causal inference, statistical modelling, predictive methods) and a strong desire to continue expanding this toolkit with programming languages such as R and Python, including the effective ...

using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd-party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity ...

research‐oriented code development and version control (git) Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) Strong foundation in experimental design, statistical analysis, and model evaluation Ability to effectively communicate complex research ideas to both technical and non‐technical audiences Nice to Have Research experience ...

data-driven solutions that make a real impact. Role Overview: Location: Paddington (Hybrid) Package: Day Rate Inside IR35 What You’ll Do: Utilize advanced statistical and mathematical models to analyze intricate datasets, uncover meaningful patterns, and identify key trends. Design and implement rigorous experimentation frameworks, including A/… Skills: Experience in econometrics and difference-in-differences analysis Familiarity with cloud data platforms and visualization tools Knowledge of machine learning algorithms and advanced statistical techniques Previous experience in consulting or client-facing roles Preferred Education and Experience: Bachelor’s or Master’s degree in Statistics, Economics, Computer Science ...

problems. This role is a foundational Senior Data Scientist hire, focused on defining how AI systems are evaluated and validated. You will combine deep statistical expertise with product thinking to build robust, defensible methodologies used in high-stakes environments. Key responsibilities • Define and implement statistical testing frameworks … with founders on product and strategic direction Key details • Salary: £100k–£120k+ + equity • Working model: Hybrid (3 days London office) • Tech stack: Python, statistical modelling, AI evaluation methods • Visa: Sponsorship available Interested? Please apply below. ...

Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including ...

machine learning - we have several “AI” features that are actually useful (and used) by our customers. Some are powered with LLMs, some are simpler statistical models built by us. Experience with data analysis technology and methods. Experience building applications that integrate into 3rd party websites. Benefits £80k - £100k salary. ...

exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including … strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling/scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis ...

department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. ...

department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Run statistical analytics and predictive models to identify new areas to improve or target; work closely with marketing management to measure our testing program. ...

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 ...

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 ...