126 to 150 of 469 Statistical Modelling Jobs in the UK

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 ...

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 ...

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. Have you got the right … 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 tools like ...

Experience: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. … should be able to develop and validate methodology, not only apply it. Technical & Modelling Expertise: Expert level proficiency in Python and SQL. Deep, hands‐on experience with statistical modelling, (quasi) experimentation, multi‐arm bandits, and a wide range of machine learning techniques such as regression, classification ...

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 ...

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting‐edge AI/ML techniques ...

client is a leading global investment bank. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in our client specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments ...

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally ...

what is expected from applicants, by reading the below. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in our client specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

logical thinking and problem-solving abilities. Strong communication skills, with the ability to explain complex concepts clearly to non-technical audiences. Proven experience in statistical modelling and applying data science solutions to real client problems. A passion for connecting technical work to real customer outcomes, delivering clear ...

logical thinking and problem‐solving abilities. Strong communication skills, with the ability to explain complex concepts clearly to non‐technical audiences. Proven experience in statistical modelling and applying data science solutions to real client problems. A passion for connecting technical work to real customer outcomes, delivering clear ...

know everything — but we’re looking for someone who has: 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow ...

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 ...

delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges. Demonstrable experience applying data science, analytics and data integration tools/programming languages on real-world datasets e.g. Python ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi‐armed ...

Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn). Solid understanding of probability and statistical modeling to support robust model development and interpretation. Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

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 ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. A degree ...

marketing campaigns and strategies using a variety of tools and techniques including A/B testing Assist with forecasting, trend analysis and scenario modelling Present findings and recommendations to stakeholders in a clear and concise manner Assist in the development of marketing plans and strategies based on data analysis … skills Desired Skills & Experience: Experience using Python, R or Alteryx for data transformation & manipulation purposes Strong analytical and problem‐solving skills, with experience in statistical modelling techniques Exceptional attention to detail, with the ability to identify and address data discrepancies Strong time management skills Committed to continuous learning ...

build something from the ground up and make a significant impact across the business. The product has strong parallels with quantitative trading and financial modelling - working with complex datasets, building structured models, using statistical modelling techniques, and using data to drive better decisions. What … datasets to identify patterns, trends and opportunities Developing approaches to ranking, weighting and interpreting data Using Python, R, SQL and Excel for analysis and modelling Helping shape a completely new analytical capability within the business What we're looking for... We're particularly interested in people currently working ...

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. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud 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 and its customers. Machine Learning ...

modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything fromSpark and statistical methodsto domain knowledge and emergingGenAIapplications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies … 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 and its customers. ...

modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything fromSpark and statistical methodsto domain knowledge and emergingGenAIapplications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies … 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 and its customers. ...