1 to 25 of 39 Statistical Modelling Jobs in London

data and digital transformation work across complex, highly regulated industries, and are now looking to bring in a Senior Data Scientist with a strong statistical/biostatistics background. This role is focused on helping clients elevate their statistical modelling capabilities taking models from research-grade through … with client-side biostatisticians and technical teams, acting as a subject matter expert, helping to modernise ways of working and embed best practices across modelling and engineering. Key responsibilities include: Designing and improving statistical modelling approaches alongside client teams Building scalable, production-ready workflows using R Supporting ...

challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior and mid-level data … data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with, or demonstrable capability for, applications of Generative ...

visualisations for the Verity platform Leading, managing, and mentoring a high‐performing technical team Drive advanced analytics and data science initiatives, including predictive modelling, to uncover actionable insights and support strategic decision‐making and partner closely with the insights and analytics department Working closely with engineering, product, and business … highly beneficial but not strictly necessary) Data quality oversight Data collections/ingestion/completion Understanding of software development best practices Skills in analytics modelling and statistical modelling A background in data science/ML for future hires and team support – minimum be able to showcase basic ...

with at least 5 years in a leadership or managerial capacity, preferably in financial services or asset management. Deep expertise in machine learning and statistical modeling, hands‐on experience developing and deploying models (e.g., predictive models, NLP, time‐series forecasting) and managing model risk in a regulated environment. Solid ...

clear, compelling narratives and visualisations Identify opportunities to apply AI across products and services Model Development Design, build, and validate machine learning models Develop modelling inputs for AI pipelines and platforms Implement robust evaluation methods (A/B testing, causal analysis) Ensure models are explainable, ethical, and production-ready … stakeholders to embed data-driven decision-making What We’re Looking For: Essential: Strong experience with Python, SQL , and data analysis Solid background in statistical modelling & machine learning Proven experience building and deploying models end-to-end Strong problem-solving mindset with a pragmatic approach PhD in degree ...

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 ...

predictive insights, automation, and data driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and advanced statistical and AI frameworks, you will work closely with engineering, product, and analytics teams to build solutions that are accurate, explainable, and scalable. This role … Responsibilities Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact Design and run experiments (A/B tests, hypothesis tests, simulations ...

across retail, automotive, financial services, and consumer sectors. They are looking for a Data Scientist to join their growing team, focusing on Marketing Mix Modelling (MMM) and broader marketing effectiveness projects. This is an excellent opportunity for someone early in their career to work on high-impact analytics projects … gain exposure to global clients, and develop strong modelling and consulting skills in a structured, fast-paced environment. The role: Work on MMM and marketing effectiveness projects from data through to insight Analyse marketing, customer, and campaign data to drive performance improvements Build and apply statistical models (regression ...

perform basic analyses. Expertise in Excel, and familiarity with other tools such as SQL, R and/or Pandas (Python), is required. Advanced statistical modelling or data science is not required. Experience with regulated industries or tech/finance companies: Having worked in or with companies in banking ...

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 ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Role Summary Leyton Orient is building a genuinely data-driven recruitment operation one where statistical rigour, AI tooling, and traditional scouting judgement work in concert rather than in tension. This role sits at the centre of that ambition. As Recruitment Data Scientist, you will design and deploy the models … presented to coaches and club leadership. If you want to see your work matter, this is the environment for it. Key Responsibilities Modelling & Analytics Develop and apply statistical models and player profiling frameworks, assessing candidate suitability against KPIs aligned with the club's tactical identity and style ...

analysis into action What we're looking for · Experience in lending, fintech, banking or credit risk · Advanced Python and SQL skills · Strong analytical and statistical modelling skills · High ownership and attention to detail · Experience with underwriting, scorecards, pricing or portfolio analytics · Experience working with real-world datasets · Commercial ...

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 ...

development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business ...

leadership or managerial capacity. Experience in financial services, asset management, or capital markets is highly desirable. Technical Proficiency : Deep expertise in machine learning techniques, statistical modeling, and large‐dataset analytics; proven track record of model development and deployment. Industry Knowledge : Solid understanding of asset‐management products, portfolio management, performance … relational databases, NoSQL, time‐series, big‐data frameworks, cloud data services (AWS, Azure, GCP). Analytics & BI: Tableau, Power BI, Python/R visualization, statistical analysis tools. AI Ethics & Security: bias detection, explainability (LIME, SHAP), data anonymization, encryption. Soft Skills & Leadership Competencies Strategic Vision & Innovation Ethical Leadership & Responsible ...

across lending products, including alternative pathways for declined applicants Build models to answer complex commercial questions around ROI, incrementality and new channel testing Apply statistical modelling and experimentation techniques to support evidence-based business decisions Your Skills and Experience The role is highly analytical and hands-on, requiring … consumer or technology business Advanced SQL and Python skills, with the ability to work independently on complex analytical problems Hands-on experience with attribution modelling and multi-channel performance analysis Proven ability to analyse funnels and customer journeys across multiple digital products Solid statistical foundations, including experimentation ...

data. Key Responsibilities • Build and optimise machine learning models for conversational analytics products • Develop LLM-driven systems including fine-tuning and prompt pipelines • Apply statistical modelling and quantitative analysis to financial datasets • Conduct feature engineering, model evaluation, and experimentation • Work with engineering teams to integrate models into ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep ...

selection, 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 ...

maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. ...

development of new products and services. Assessing industry rationale and providing risk/return analysis of corporate transactions by utilising sector expertise and developing statistical and financial models. Driving contacts with the bank’s EMEA branches and Tokyo, coordinating transaction and research projects across global departmental operations, and working ...

should therefore have a strong background in data storytelling and building relationships both internally and with clients. While this role does not require building statistical models or coding, an understanding of what is possible with data using modeling and machine learning will be beneficial in this role. The Opportunity ...