integration with language models. Technical Proficiency : Advanced proficiency in Python and experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy), along with strong knowledge of machine learning algorithms, statisticalmodelling, and data mining techniques. Commercial Acumen : Deep understanding of product dynamics, market needs, and commercial considerations essential for conceptualising and executing impactful data-driven solutions. Leadership & Initiative More ❯
gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Communication Skills: Strong ability to communicate More ❯
how we price to balance growth and cost-efficiency - helping OakNorth maintain strong customer demand while achieving sustainable funding costs. This is a high-impact, hybrid role that blends statisticalmodelling, economic intuition, and stakeholder collaboration, ideal for someone who wants to shape pricing strategy with rigorous analysis and robust experimentation. The role Work in and partner with … data science, focusing on practical outcomes and business impact rather than academic perfection. Experience in applied data science, preferably in financial services, pricing, revenue management, or behavioural analytics. Strong statistical foundation in regression, experimentation, causal inference, and forecasting. Experience with price elasticity modelling, segmentation, and simulation approaches a big plus. Strong communication skills - you're able to explain More ❯
are looking for you. Job Description If you are passionate, curious and ready to make an impact, we are looking for you. Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statisticalmodelling and portfolio management. As a global team, QR partners with traders … to provide analytical support to the trading desks and other stakeholders. Job Summary As a Vice President or Executive Director in Quantitative Research, Energy team, you will be providing modelling solutions to the Commodities business. Yo will get a chance to utilize your extensive knowledge of quantitative methods, including valuation of derivatives and risk modelling, as well as More ❯
that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statisticalmodelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference … and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network decisions More ❯
that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statisticalmodelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference … and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network decisions More ❯
Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯
Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯
meaningful insights to drive informed decision-making. Key Responsibilities: * Analyse and pre-process large-scale time series datasets, identifying relevant variables and data cleansing requirements. * Develop and implement advanced statistical models and machine learning algorithms to perform predictive analysis on time series data. * Build and validate forecasting models to predict future trends, patterns, and anomalies in time series data. … projects. * Communicate findings and insights effectively to stakeholders, presenting complex concepts in a clear and concise manner. * Stay up to date with the latest advancements in time series analysis, statisticalmodelling, and machine learning techniques. * Collaborate with data engineers to optimize data pipelines and ensure efficient data processing for time series analysis. * Contribute to the development and improvement More ❯
to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statisticalmodelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. More ❯
a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statisticalmodelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. More ❯
a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statisticalmodelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. More ❯
a team who use global data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statisticalmodelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. More ❯
Science, Statistics, Computer Science, or related field 5+ years experience in data science with at least 2 years in a leadership role Strong background in machine learning algorithms and statistical modeling Experience working with healthcare data and understanding of healthcare analytics Proficiency in Python, R, or similar data science programming languages Knowledge of big data technologies and cloud platforms More ❯
Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You are fluent in Spanish More ❯
and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high-quality More ❯
projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statisticalmodelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in … modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert More ❯
projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients’ decisions. With strong data analysis, machine learning and statisticalmodelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in … modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert 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 commercial … 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 statisticalmodelling 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 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 commercial … 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 statisticalmodelling 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 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 commercial … 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 statisticalmodelling 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 More ❯
Techniques and Technology Logical thinking and problem solving Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact StatisticalModelling and experience of applying data science into client problems. Experience in retail domain would be an added advantage What you can expect from us We won't More ❯
an undergraduate or postgraduate degree in Economics, Analytics, Computer Science, Mathematics, Statistics, or a related quantitative field Experience in data collection, cleaning, merging, and profiling for modeling Knowledge of statistical analyses, modeling, and ability to explain analytic processes and rationale for chosen approaches Familiarity with supervised and unsupervised learning algorithms for customer segmentation, behavior prediction, response modeling, recommendations, and More ❯
projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients' decisions. With strong data analysis, machine learning and statisticalmodelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in … modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert More ❯
days a week from home as work permits. 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 systems involving quantum sensors. This … . Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statisticalmodelling, systems dynamics and differential equations. Familiarity with software engineering best practices: version control (Git), code review workflows, unit testing, CI/CD pipelines. Experience writing clean, efficient … with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure, GCP). Deep expertise in time series modelling techniques (e.g., ARIMA, VAR, Prophet, LSTM). Solid grasp of control theory concepts (e.g., PID controllers, Kalman Filters, Model Predictive Control, Reinforcement Learning). Familiarity with lower-level development More ❯
