101 to 125 of 159 Remote/Hybrid Statistical Modelling Jobs

Field Data Science team https://www.sylvera.com/research is pioneering new approaches to forest carbon measurement. Traditional methods rely on allometric equations—statistical models that estimate carbon storage based on tree measurements—but these can introduce significant uncertainties. Our team has developed innovative multi-scale lidar methods ...

date with emerging trends and tooling and sharing updates within and outside of the team. You’ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software … hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience. You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with experience of developing and managing the full ...

date with emerging trends and tooling and sharing updates within and outside of the team. You’ll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software … hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience. You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with experience of developing and managing the full ...

team, championing robust experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval ...

Funding Circle Ltd. is seeking a Data Scientist in London (Hybrid) to develop and deploy statistical and machine learning models for our lending platform. You will work with data engineers, analysts and business stakeholders to drive value and expand borrower products. The role emphasizes end-to-end modeling, exploration ...

/CD pipelines. Experience with frontend technologies, including React and Next.js, and JavaScript. Familiarity with data science and analytics techniques, including machine learning and statistical modelling. Experience with database management systems, including relational and NoSQL databases. Experience with Dash or other UI frameworks is a nice to have. What ...

/CD pipelines. Experience with frontend technologies, including React and Next.js, and JavaScript. Familiarity with data science and analytics techniques, including machine learning and statistical modelling. Experience with database management systems, including relational and NoSQL databases. Experience with Dash or other UI frameworks is a nice to have. What ...

that values correctness and reproducibility over volume, and it sits close to the product leads who shape the methodology. What you'll do Develop statistical models of stock price movements and estimate the performance of thematic trends. Construct and back-test factor risk models, decomposing stock returns into thematic … research reproducible, so that any published output can be re-run exactly, including after backfills and restatements. Work with the pipelines team to take modelling decisions into daily production. Essential Strong production Python. Factor risk models and portfolio attribution in depth: cross-sectional regression, covariance estimation and shrinkage ...

Lead Statistical Data Scientist Department: Data Science & Analytics Employment Type: Permanent - Full Time Location: London Reporting To: Director, Data Science & Analytics 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 … meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help ...

Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder … person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the so what? in plain language. Most importantly, they ...

Associates in London seeks an analytics professional to join the Decision Analytics Associates team. You will develop and apply advanced statistical models, leverage data to guide client decisions, and communicate insights to both client and internal teams. The role requires a quantitative degree and proficiency in R, SAS, Tableau ...

negotiating buy‐in with various VPs, ensuring consistent follow‐through and concrete impact within agreed timelines. 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 modelling ...

needs and goals of the Debt Team and wider organisation Acquiring relevant data from within MaPS, from suppliers and from other external stakeholders Cleaning, modelling, transforming and analysing data – understanding what it’s telling us and seeking to understand why Reviewing data collection processes and assessing the quality … part of your role Adhering to company policies and legal requirements in relation to data collection and security Analysing data through a variety of statistical methods and models, and identifying challenges and opportunities Presenting high quality, insight and analysis using engaging visuals – telling the story of the data ...

Cloud, OSS, and service domains.* Develop KPI engineering models for network performance, service quality, fault behaviour, customer impact, capacity, and resilience.* Build statistical and machine learning models for anomaly detection, fault prediction, root-cause analysis, degradation detection, and proactive assurance.* Develop data aggregation, cleansing, enrichment, and feature engineering pipelines … decision-making.## **Your Profile*** Experience in data science, machine learning, telecom analytics, network performance analytics, or AIOps analytics.* Strong Python skills for data analysis, modelling, and automation.* Strong knowledge of statistics, ML basics, feature engineering, and model evaluation.* Experience working with network KPIs, alarms, telemetry, inventory, topology, or service ...

Senior Business and Functional Analyst – Transaction Monitoring (TM) Modelling Job ID: R0441546 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2026-09-22 Location: London Position Overview Job Title: Senior Business and Functional Analyst – Transaction Monitoring (TM) Modelling Location: London Corporate Title: Vice President Group … attitude, strong analytical skills, and a meticulous approach to breaking down complex matters into more understandable details. The purpose of Payment Behavior Analysis and Modelling (PBAM) is to identify and investigate unusual customer transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As the Lead Statistical Data Scientist, you'll provide technical leadership for the models, methods and analytical approaches that power Oritain's origin-verification science. You'll help … develop other data scientists, help shape how we approach technical challenges, and work across science, engineering, product and commercial teams to ensure our statistical solutions create real-world impact. You'll be joining a business in an exciting stage of growth. We're beyond the start-up phase ...

either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. ð You'll play a key role by...Leading hands … response modelsDeveloping deep understanding of Monzo's credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilitiesReviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence ...

partner with Product and Engineering, and translate complex analyses into practical actions that drive customer and business outcomes. You will leverage experimentation, causal inference, statistical modelling and ML to shape product strategy, while building credibility with senior leaders and guiding teams across the data ecosystem. #J-18808-Ljbffr ...

benefits UK-wide/hybrid 2 dpm office-based Permanent Non-life Are you a talented technical GI pricing analyst with good knowledge of statistical modelling methods (in particular GLMs), looking to join the home pricing team of a global insurer? Then this is an exceptional opportunity ...

with strategic data direction and partner with senior stakeholders to place data at the heart of decision making. You will guide experimentation, causal inference, statistical modeling and ML efforts, ensuring rigor and translating insights into product and customer impact. #J-18808-Ljbffr ...

presenting complex data findings to diverse stakeholders. The ideal candidate has a strong background in data analysis and visualisation, with experience in programming and statistical modelling. A commitment to responsible analytics is essential, along with a passion for solving real-world problems through data. #J-18808-Ljbffr ...

techniques and machine learning with tools like Python and Emblem. The right candidate will have experience with large datasets and strong knowledge of statistical modeling methods. This position offers the chance for significant career growth and the opportunity to work in a hybrid environment across the UK. #J ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast-paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

will include: Collaborate with leaders in HR, finance, technology, and business to comprehend workforce issues and convert them into data and reporting requirements. Utilizing statistical models and sophisticated analytics, lead intricate workforce analyzes to evaluate important HR indicators, predict trends, and assist with strategic decision-making. Complete workforce reporting … practical experience designing and developing HCM reports and dashboards; Oracle HCM knowledge is highly recommended. Experience with forecasting methods, workforce analytics approaches, and statistical models. Advanced knowledge of SQL, Excel, and data visualization programs (Tableau, PowerBI) Outstanding narrative and communication skills, as well as a track record of converting ...