51 to 75 of 91 Statistical Modelling Jobs

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 ...

science/Machine learning models from coding to deployment. Work with datasets using Python or R, SQL, No SQL. Assist in developing predictive and statistical models Write and optimize queries using SQL. Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability. Hands-on experience with ...

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 ...

core of our success. As a Data Scientist, you will work on impactful projects that range from advanced analytics and predictive modelling to business intelligence and process optimization. Collaborate with cross-functional teams to extract insights from data and develop solutions that enhance efficiency and drive growth. … expertise in replacing Legacy systems and helping shape data flows, reporting structures, and integrations from the ground up. Improve processes through predictive analytics and statistical modelling. Create data-driven systems in collaboration with our software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. ...

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. ...

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 ...