51 to 75 of 159 Remote/Hybrid Statistical Modelling Jobs

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 ...

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 ...

novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domains Strong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solving Very good programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia … confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology ...

Distribution, Product, Client, and other related functions is essential. The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends … decisions and business outcomes. Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models ...

solve genuine business problems. Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical toolkit, from GLMs and random forest to NLP, clustering and scenario analysis, to generate insight that gets acted on. est and develop new external … Proven experience in a data science role, delivering data-driven solutions that support genuine business decisions. Strong proficiency in Python for data analysis, modelling and machine learning. Hands-on experience building and evaluating machine learning models. Confident statistical modelling skills across techniques such as GLMs, decision trees ...

Your Skills & Experience Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics Advanced SQL and Python or R Experience building predictive and statistical models Strong understanding of customer journey, retention, and funnel analysis Experience with Snowflake and dbt Power BI or similar BI tools Experience within SaaS ...

operations analysis, data analysis, or a related role. Strong proficiency in data analysis tools and techniques (e.g., Excel, SQL, Python, R). Experience with statistical modeling and simulation software. Excellent analytical, problem-solving, and critical thinking skills. Effective communication skills, capable of presenting complex data clearly to diverse audiences ...

analytics, or private markets datasets. Experience designing and building software and/or data platforms in financial services environmentsor other regulated environments. Experience productionising statistical or quantitative models. Experience supporting AI/ML lifecycle management, including model versioning, experiment tracking, evaluation,servingand deployment pipelines. Our benefits To help ...

Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic ...

Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic ...

Desirable: Knowledge and understanding of the cell and gene therapy industry. Experience designing and implementing system integrations using APIs and integration frameworks. Experience with statistical modelling, DoE, multivariate data analysis and process analytics, including applications such as JMP. Proficiency in programming skills in languages such as Python. Skills ...

engage with clients to help them understand the implications and make plans to act on them. What you'll do: Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Use tools ...

design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical ...

Services. Use Microsoft Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other … Finance, Governance, Data Protection, Change and Transformation, and other teams to deliver joined-up data products and insight. Define and promote Power BI, data modelling and governance standards, including documentation, validation, accessibility, metadata, lineage, security and appropriate use of sensitive data. Your experience: Must Haves: Experienced in data science ...

stakeholders across the business. Responsibilities include: • Developing and deploying predictive models to support underwriting, claims, pricing and customer-focused initiatives • Applying machine learning and statistical techniques to solve complex business challenges • Leading end-to-end Data Science projects from problem definition through to deployment and monitoring • Partnering with business … stakeholders to identify opportunities for data-driven decision-making • Presenting insights and recommendations to both technical and non-technical audiences • Supporting best practice across modelling, experimentation and model governance • Mentoring junior team members and contributing to the growth of the wider Data Science function Your Skills & Experience • Strong commercial ...

these locations, asrequired. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You’ll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that help automate decision-making in real-time … developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines. ...

sources using Python, R, SQL, Excel, or other tools. Conduct analyses related to consumer behaviour, market trends, and campaign performance. Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM). Develop dashboards, charts, and visualizations to communicate insights effectively … Share best practices within the team and contribute to knowledge-sharing initiatives. Take ownership of your professional development, pursuing certifications and training in analytics, modelling, and programming. Actively participate in office meetings, training sessions, and team initiatives. Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. ...

training re-rankers. Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

rankers. Entity/relationship extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. ...

efficient and effective operations, ensuring resource plans support service performance, financial discipline, cost efficiency and wider commercial objectives. Key Responsibilities 1. Capacity Planning & Resource Modelling Lead the design, ownership and maintenance of operational capacity plans across Helpdesk & Operations, ensuring plans are robust, governed and aligned to demand, service commitments … evidence-based and financially responsible. Set out clear hiring, redeployment and resource recommendations across operational roles, influencing senior stakeholders through clear rationale, scenario modelling and commercial impact assessment. Track actual versus planned recruitment, attrition, shrinkage and productivity assumptions, providing early warning of risks to service, cost or delivery outcomes. ...

Knowledge of Generative AI, Prompt Engineering and AI experimentation Experience working with LLMs, RAG architectures and model evaluation techniques Advanced data analysis, visualisation and statistical modelling skills Understanding of AI life cycle management and delivery practices Knowledge of data governance and Responsible AI principles Experience with cloud-based ...

pricing, analytics or a related field within insurance or a data-driven environment Strong analytical capability with experience working with large datasets and statistical models Working knowledge of Python, R or similar coding languages, plus SQL skills Ability to interpret data and translate findings into clear commercial recommendations Strong ...

code, and helping improve the reasoning capabilities of next-generation AI systems. Requirements: 5+ years of professional experience in Data Science, Machine Learning, Analytics, Statistical Modeling, Data Engineering, or related fields Strong proficiency in Python and/or SQL Experience reading, writing, and reviewing analytical code Excellent written communication ...

Software Engineers to ensure we log and model the right data to produce high-integrity business insights. Data-driven automations and solutions: Apply statistical modeling and exploratory data analysis to identify bottlenecks and drop-off points across the merchant onboarding journey, delivering insights to help Product Managers prioritize automation ...

clear results orientation with an intense focus on achieving short and long‐term goals in an uncertain and fluid environment. Working knowledge of statistical model building, SQL querying, market research, or consulting. Where and how you'll work This is a permanent position based in our London office. ...