tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines and structured/unstructured data. Must be available to attend quarterly company meetings in person. More ❯
tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines and structured/unstructured data. Must be available to attend quarterly company meetings in person. More ❯
particularly for wind based perils. Experience with Bayesian statistics and/or Extreme Value Theory for extreme events Qualifications PhD or equivalent experience in climate science, hazard modeling or statistical analysis. Equal Opportunities Climate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Newcastle Building Society
You As an experienced Lead Data Analyst, you'll be proficient in Excel, SQL and querying languages to interrogate data sets, with strong analytical skills and an understanding of statistical analysis. The ability to present complex data insights in a clear and understandable manner to technical and non-technical stakeholders is essential for the role, as is the ability 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 statisticalanalysis 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 ❯
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 statisticalanalysis 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 ❯
team and lead on all things advanced analytics & data science! THE ROLE As the Senior Analyst you will utilise your strong SQL & Python experience across a range of ststatical analysis projects, including customer segmentation, marketing measurement, forecast modelling, linear regression & synthetic control methodology YOUR SKILLS AND EXPERIENCE Strong Python Strong SQL StatisticalAnalysis THE BENEFITS More ❯
scope includes products such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statisticalanalysis and mathematical models to enhance business performance and collaborate closely with traders and sales to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative … Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statisticalanalysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other methods. Create model … calibration frameworks for advanced statistical and AI models, handling large-scale time series data. Advance our market making strategies using diverse technologies and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficient programming skills in languages such as C++, Java, or Python. Self-motivated with excellent self More ❯
What You Will Be Doing Designing consumer surveys: Working with the internal reporting team to design online quantitative questionnaires in both English and Japanese that meet research objectives and analysis requirements. Research project management: Liaising with external providers and internal resources to manage research projects independently to ensure all research is conducted within budget and to deadline. This also … includes checking outputs and troubleshooting queries. Analysing data: Using a wide range of data analysis tools including SPSS, R, and others to tabulate and analyze quantitative consumer research data effectively. This also includes running advanced statisticalanalysis which includes, but is not limited to, correspondence analysis, CHAID (decision tree analysis), cluster analysis (segmentation), and … in Japan is essential Strong knowledge of designing and analysing quantitative research from questionnaire design to data output Proven experience with analyzing data in R or SPSS (or similar statistical software) in a commercial setting Highly organised with experience of managing multiple research projects to deadlines Excellent analytical and interpretative skills with the ability to communicate data, statistics and More ❯
product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statisticalanalysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead … our Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statisticalanalysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using … factor models and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or More ❯
etc. Collaborate with applied scientists to build data pipelines for training machine learning models Work with Product Managers, Financial, and Business analysts to improve reporting practices: data integrity, testing, analysis, validation, and documentation Interface with tech teams to extract, transform, and load data using SQL and AWS big data technologies Explore and adopt the latest AWS technologies to enhance … capabilities and efficiency Implement advanced analytics algorithms for statisticalanalysis, prediction, clustering, and machine learning Improve reporting and analysis processes, automating or simplifying self-service support for customers Requirements include: 3+ years of data engineering experience 4+ years of SQL experience Experience with data modeling, warehousing, and ETL pipelines Proficiency with AWS technologies such as Redshift, S3 More ❯
You will join us as our new Data Scientist who will help us understand player behaviour across the portfolio of mobile games. Your primary focus will be in doing statisticalanalysis, using causal inference and building time-series/segmentation models. You will be working closely with our User Acquisition and Customer Support teams. Why this role? An … What Will You Be Doing? Use simple analytics, causal inference, machine learning or any other techniques to understand how users move across apps in our portfolio Based on your analysis/modelling, make recommendations for optimal cross-promotional and user acquisition strategies Through dialogue with the business teams, formulate questions and projects that lead to improved efficiency in marketing … You will join us as our new Data Scientist who will help us understand player behaviour across the portfolio of mobile games. Your primary focus will be in doing statisticalanalysis, using causal inference and building time-series/segmentation models. You will be working closely with our User Acquisition and Customer Support teams. Why this role? An More ❯
/road map for them to follow. Ideally, you will have experience with a previous property company, either in Real Estate or Proptech. Required: Understanding of predictive models and statisticalanalysis Highly skilled in Python and R Start-up experience/being the 1st hire within Data Science previously Data Visualization tools Knowledge of SQL, Excel, and desirably More ❯
and excited by: HR policies, best practices and Employee Relations Manage and mentor junior People Operations team members HRIS, HR data and employment laws Prepare reports, employee surveys, templates, statisticalanalysis Requirements A minimum of 4 years' experience as an HR Generalist/People Operations in organisations with a size of around 500-2,000 employees (must) Both … London and have full right to work in UK without any restrictions ( must) A highly anaytical approach to help make data-driven decisions (must) Proficiency in Excel and data analysis (must) as well as PowerBI (preferred) HR technically savvy with a strong knowledge of UK legislations (must) CIPD Level 5 (preferred) Background in Tech or Financial Services companies (preferred More ❯
Liverpool, England, United Kingdom Hybrid / WFH Options
LEO Club Maastricht
for a Data Scientist to join their growing team. Our client are seeking a talented Data & Analytics professional with a solid grounding in core data science methodologies, data modelling & statisticalanalysis; strong proficiency with Python & an ability to colaborate with a wider team are essential. Any prior knowledge of C#, Azure & SQL would be beneficial (not essential). More ❯
trading systems through rigorous optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements … plus. Financial Knowledge: Market Expertise: In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies. Quantitative Skills: Familiarity with mathematical modeling, statisticalanalysis, and machine learning techniques. Experience: Industry Experience: 3+ years of experience as a Quantitative Developer or similar role within a hedge fund, proprietary trading firm, or investment More ❯
trading systems through rigorous optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements … plus. Financial Knowledge: Market Expertise: In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies. Quantitative Skills: Familiarity with mathematical modeling, statisticalanalysis, and machine learning techniques. Experience: Industry Experience: 3+ years of experience as a Quantitative Developer or similar role within a hedge fund, proprietary trading firm, or investment More ❯
Amazon Development Centre (Scotland) Limited - A64
applications at significant scale. You will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives. Key job responsibilities • Use statisticalanalysis, machine learning and LLM techniques to create scalable solutions for business problems • Analyze and extract relevant information from large amounts of both structured and unstructured data • Design … experiment and evaluate highly innovative models for regression and classification challenges • Maintain, evaluate and improve existing models • Research and implement novel machine learning and statistical approaches • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in More ❯
thriving team in the heart of London. Your main responsibilities will be: Workflow Design & Automation: Build and optimise data workflows using Alteryx to streamline processes and enhance efficiency. Data Analysis & Insights: Collaborate with the Tax Credits team to process complex data and deliver accurate, actionable insights. Stakeholder Collaboration: Work closely with colleagues to understand data needs and present findings … clearly to key stakeholders. Continuous Improvement: Stay current with Alteryx best practices and tools to drive ongoing improvements in data workflows. Qualifications Analytical Expertise: 2+ years’ experience in data analysis or consulting with strong skills in statisticalanalysis; modeling experience is a plus. Technical Proficiency: Advanced in Alteryx and Excel; Tableau experience and CTA qualification are desirable. More ❯
responsibilities - Serve as the Voice of the Customer from initial concept creation to launch, and subsequent support of the product. - Drive product development efforts, including research, requirements definition, metrics analysis, technical specifications, development, and launch efforts. - Assist in developing new products by evaluating the business and competitive landscape, understanding customer needs and value drivers. - Write business and product requirements … tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statisticalanalysis, reliability analysis, and decision making - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning More ❯
London, England, United Kingdom Hybrid / WFH Options
Global
Contract Type: Full-Time Contract Duration: Permanent Location: Remote, UK (You must have the right to work in the UK) Closing: Ongoing About us Bodhi Global Analysis is a UK based international development research consultancy firm, with a subsidiary in Nairobi. At Bodhi we are committed to producing high-quality research, through academic rigour and objective analysis. We enable … This position is ideal for you if you: Have an interest in developing experience conducting research on conflict and in FCAS Are committed to producing sound, objective research and analysis Have strong written and verbal communication skills Are proactive and organised – you anticipate problems and tasks, communicate them to the team, and propose solutions Working with Bodhi, you will … schedule and manage your work as tailored to your needs Key Tasks and Responsibilities Research Leading different stages of conflict-related research and evaluation projects, including design, data collection, analysis, and reporting and dissemination phases. Conduct in-depth literature and desk reviews using a variety of secondary sources, in line with Bodhi’s guidelines and quality standards. Conduct data More ❯
includes product types such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statisticalanalysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead … strategies across equity products, from cash to derivatives. Implement automated hedging algorithms and develop platforms for centralized risk management across asset classes. Build and enhance data pipelines for advanced statistical and AI models, handling large-scale time series data. Drive the development of our market making platform using various technologies, working closely with Quant Researchers and engineering teams. Take More ❯
between. Whether a fund investor, manager or advisor, the Alternative Investment Funds team has the data, solutions and industry network to help the clients take their fund and company analysis to the next level. What’s the role : The Alternatives Technical Account Managers are a group of individuals who play a vital role in delivering exceptional service and technical … and verbal communication skills We’d love to see : Experience in using business intelligence to identify gaps and trends, or opportunities for product enhancements Knowledge in information technology and statisticalanalysis or computer programming for example Excel, SQL, and/or Python Does this sound like you? Apply if you think we're a good match. We'll More ❯
West London, London, United Kingdom Hybrid / WFH Options
Staffworx Limited
various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statisticalanalysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer More ❯
trading systems through rigorous optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements … is a plus. Market Expertise: In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies. Quantitative Skills: Familiarity with mathematical modeling, statisticalanalysis, and machine learning techniques. Experience: Industry Experience: 3+ years of experience as a Quantitative Developer or similar role within a hedge fund, proprietary trading firm, or investment More ❯