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 ❯
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 ❯
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 ❯
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 … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statisticalmodelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative 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 … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statisticalmodelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative 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 ❯
and Maven for ML project integration Essential Requirements Minimum Qualifications: Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent experience Python/R proficiency with practical ML and statistical modeling experience End-to-end ML delivery - From experimentation to production deployment Data science fundamentals - Data cleaning, feature engineering, model evaluation Critical Technical Skills: Production ML deployment - Demonstrated experience More ❯
Bexhill-on-sea, Sussex, United Kingdom Hybrid / WFH Options
Hastings Direct
provide strategic guidance and tooling to benefit the wider Pricing, Data and Analytics community and support data-driven innovation. Key Responsibilities Developing, analysing, and overseeing the implementation of advanced statistical and machine learning models into live pricing. Stretching the team's capabilities in Artificial Intelligence, Machine Learning and use of Cloud technologies. Working cross-functionally with the wider Pricing More ❯
normalization, market and product data to support biopharma commercial product launches, and complex quant and qual research projects. This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/… data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate advanced … statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member of a software development process. Qualifications Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience 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 ❯
will be directly supporting key commercial, operational, and strategic decisions makers across the business. You will apply the appropriate solution to the problem at hand. This could be advanced statistical techniques (Hierarchical Bayesian modelling, GAMs), AI and machine learning techniques (LLMs, neural networks) or simple arithmetic. The key is to deliver useful and timely information for the benefit … external clients. Proficiency in R or Python. Solid understanding of SQL; experience working with Spark (Java, Python, or Scala variants) and cloud platforms like Databricks is a plus. Strong statistical knowledge, including hypothesis testing, confidence intervals, and A/B testing. Ability to understand and communicate the commercial impact of data activities. Why Join Us? Be part of a More ❯
Visualization: Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI) to present data-driven insights in a clear and concise manner to stakeholders. • Data Modelling and Forecasting: Utilize statistical techniques and predictive modelling to identify opportunities for business growth, optimize operational efficiencies, and support data-driven decision-making processes. • Performance Monitoring: Monitor … with large datasets and using BI tools (e.g., Tableau, Power BI) is required. • Technical Skills: Proficiency in SQL for data manipulation and extraction. Advanced knowledge of data analysis techniques, statistical analysis, and predictive modelling. Familiarity with data visualization tools and techniques. • Business Acumen: Understanding of business operations, key performance indicators (KPIs), and the ability to translate data insights into More ❯
