18 of 18 Statistical Analysis Jobs in the City of London

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

data visualisation platforms (e.g. Power BI, Looker) and also using AI tools and D3.js) • Strong programming skills in relevant languages (Python, DAX, SQL) with experience in data manipulation and statistical analysis • Solid understanding of data architecture principles and cloud-based analytics platforms • Knowledge of web technologies (HTML, CSS, React/Vue) for custom visualisation development Design & User Experience More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist – Category Management: Partner with the Data Team to measure and report on availability levels and their … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops … Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive … ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. What’s in it More ❯

managing P&L responsibility, and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication More ❯

in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working with EMEA markets 🔹 Prior experience More ❯

Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and … minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

hybrid Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … as Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. Producing reports, documentation, and presentations to communicate statistical models and results to key … for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. At More ❯

Perform reviews and checks on the valuations input by the Team Analysts ensuring the correctness of the underlying data. Ensuring data quality targets are met, overseeing integrity checks and statistical analysis techniques. Guiding the team through complex queries or valuations, providing expert oversight. Monitoring and updating the valuations operating model, including control framework Lead on areas of transformation More ❯

The Business: This is not just another data consultancy—we're a team of curious minds using AI and statistical modelling to help organisations solve real-world problems and make smarter, faster decisions. Whether it’s uncovering insights from vast datasets or building predictive tools to shape future strategies, we believe data science should make a difference—a significant … Graduate to join our growing team and support the increasing demand for our analytical services. As a Data Science Graduate you’ll: Support the delivery of quantitative research and statistical analysis projects Learn and apply techniques such as conjoint analysis , MaxDiff , segmentation , and key drivers analysis Work alongside experienced data scientists and gradually take on more … years of experience in data science or quantitative market research . You should: Be comfortable using and interpreting data to draw insights Have a basic understanding of key statistical techniques such as: Conjoint analysis MaxDiff Segmentation Linear or logistic regression Significance testing Be confident using Excel , PowerPoint , and Word Be open to learning tools such as: SPSS , Q More ❯

to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re Looking For Solid understanding of core data science techniques, including statistical analysis and machine learning. Proficiency in Python. Experience in working with structured and unstructured data, data cleaning, and transformation. Familiarity with model evaluation, performance metrics, and model deployment More ❯

on experience building trading systems (execution algorithms, risk trading, smart routing) Deep understanding of equity market microstructure and institutional trading workflows Proven ability to implement quantitative models and perform statistical analysis Front office collaboration experience - you'll work directly with trading teams Strong focus on performance optimization, testing, and system reliability Highly Valued Experience Trading strategy development (benchmark More ❯

e s . On top of the latest developments in the industry, and able to advise on new and alt ernative approaches to solving problems. Lead Day 2 monitoring & analysis of models. What you'll need to be successful: Advanced knowledge of machine learning, deep learning, and statistical analysis. Massive bonus points if you have experience applying these … skills to threat detection, malware analysis, phishing, and/or abuse detection. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Hands-on experience building production -grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring . Proficient in a More ❯