1 to 25 of 81 Remote/Hybrid Statistical Modelling Jobs in London

Solve the hard problems Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. … projects where appropriate, leading junior colleagues and engaging with stakeholders. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Coach through doing – pairing on code and demonstrating standards. Be an enthusiastic member of our community Become the recognised data science technical ...

deployed as reliable, scalable products not limited to experimentation but extending through to production delivery and operational use. Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains. Translate complex scientific and business problems into well-scoped ML solutions … experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments. Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques with a track record of applying these to build production-grade solutions. Applied knowledge of data science and ML tools ...

team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market … cash equities. Conduct rigorous quantitative research on market microstructure, order‐book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short‐term price prediction, fill‐rate estimation, market‐impact modelling, and optimal order placement/scheduling. Collaborate with technology ...

Statistical Data Scientist Department: Data Science & Analytics Employment Type: Permanent - Full Time Location: London Reporting To: Lead Statistical Data Scientist Description Oritain is a global leader in forensic origin verification of products and raw materials. With offices in Auckland, Dunedin, London, Paris, Singapore and Washington D.C, our vision … integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain ...

real business questions Provide technical leadership and mentoring to junior analysts working on perception and influence analytics Raise overall analytical capability through coaching on statistical thinking, modelling techniques, and interpretation Требования: Strong experience in advanced analytics, statistical modelling, or quantitative research roles Deep hands-on expertise … regression analysis and multivariate statistical techniques Strong working knowledge of R and/or Python for statistical analysis Experience working with perception, attitudinal, or brand-related data Experience in media, marketing effectiveness, brand measurement, or advertising analytics Nice to have: Familiarity with index construction or composite metrics Условия ...

statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time‐series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e‐commerce, or similar dynamic pricing industries Familiarity with data engineering ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset … implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing ...

integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across … business forward, our client is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards ...

This is a senior leadership opportunity for a technically strong data leader to shape a growing Data Research function. You will combine hands-on statistical expertise with research strategy, people leadership and commercial decision-making. The Company They are a growing data and technology business providing sophisticated data products … open-ended research projects from hypothesis through to evidenced recommendations. Improve how new datasets are evaluated for quality, value and commercial potential. Develop stronger statistical, modelling and technical standards across the function. Lead, hire and develop a growing technical Data Research team. Evaluate the cost and value ...

Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong ...

looking for a Senior Quantitative Modeller to architect, build, and evolve our core modelling and analytics platform. This is a rare opportunity to join a fintech redefining institutional asset allocation at an early stage, with hands‐on ownership of the models and systems that power everything we do. About … with less. What You Will Do Work directly with the Heads of Technology and Research to architect, build, and evolve Allocation Strategy's core modelling and analytics platform. Implement, validate, and productionise advanced models for asset allocation, risk, macro and scenario analysis, including data preparation, testing, calibration, optimisation ...

impact. Strong programming skills in Python and SQL, with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions ...

impact. Strong programming skills in Python and SQL, with experience building robust analytical solutions and working with large and complex datasets. Deep understanding of statistical modelling, machine learning, predictive analytics, and experimental design. Demonstrated experience working directly with senior business stakeholders, translating commercial requirements into analytical solutions ...

operational context behind the data. What you'll be doing Conducting complex data analysis to identify trends, opportunities and areas for improvement. Using statistical modelling, predictive analytics and, where appropriate, machine learning techniques to generate actionable insights. Taking ownership of complex analytical projects from initial scoping through … complex analytical projects and turning findings into meaningful business recommendations. Experience using data visualisation tools such as Tableau or Power BI. Strong knowledge of statistical analysis, with experience applying advanced analytical techniques to business problems. Excellent analytical and problem-solving skills, with the ability to work confidently with large ...

interest in these Experience of work related to railway operations and engineering, or a knowledge of or interest in the GB railway. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This 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. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities: You will proactively support and inform the delivery of the Asset Risk strategy in alignment with ...

data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data‐driven controls that protect participants while enabling cutting‐edge research. This is a hands‐on role where … auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy‐enhancing technologies, AI security, synthetic data, de‐identification and privacy‐preserving computation. This role will be fully hybrid with the expectation ...

understand their requirements and translate them into practical analytical solutions. Analyse large and complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical solutions. Challenge assumptions and investigate the underlying drivers behind business performance. Reporting & Visualisation Develop and maintain Tableau dashboards and reporting for teams across the business. Improve existing reports and identify opportunities to make ...

Data Scientist - Transport Modelling - Various UK Locations Why Join Jacobs? We're excited to offer a new opportunity within our growing Transport team, where data, technology and innovation are helping shape the future of transport in the UK and around the world. This role offers the chance to work … significant autonomy, technical growth and career development. You'll work closely with senior technical leaders, including our Global Principals for Big Data and Strategic Modelling, as well as experts from across our transport modelling and analytics community At Jacobs, you'll be joining one of the largest ...

sluggish insurance models and lead our MGA pricing strategy from our tech-first London hub. We are completely bypassing legacy processes to apply sophisticated statistical techniques and machine learning to high-frequency data, keeping us steps ahead in the fast-paced small business market. What makes this role different … colleagues. Were looking for someone who is: Highly numerate with a degree in a discipline like Mathematics, Statistics, Engineering, or Physics. Experienced in a statistical or analytical role within the general insurance industry, with an understanding of portfolio risk. Proficient in data manipulation and statistical modelling using ...

role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with ...

client-facing data science roles with strong stakeholder engagement skills Proficiency in Python and SQL; familiarity with R is advantageous Practical experience in building statistical models or predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services ...

purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modeling ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging … technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business ...