improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. PredictiveModelling: Employ predictivemodelling techniques to identify potential fraudulent transactions and behaviours. Reporting: Develop concise reports explaining findings, risks, and recommended more »
passion for adtech & performance marketing. The ideal candidate will have entrepreneurial spirit, an interest in trading and experience with measurement, experimental design and leveraging predictive analytics to drive performance marketing outcomes. Skills: Communication skills: Ability to engage with C-level stakeholders. Collaborate closely with our Marketing team, understanding their … measurement: Knowledge and experience with experimental design and measurement for performance marketing and CRM activities. Familiarity with sparse, fat tailed distributions would be advantageous. PredictiveModelling: Ability to evaluate results of predictive models and predictivemodelling techniques. Apply these insights to optimise growth strategies, enhancing more »
largest private healthcare providers. As a start-up with Series A funding, their team of fewer than 50 dedicated professionals focuses on advanced analytics, predictivemodelling, and the development of cutting-edge solutions to revolutionise the healthcare industry. Their mission is to leverage AI to improve health outcomes … of engineers. Proficiency in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data science principles, predictivemodelling, and advanced analytics. Excellent problem-solving skills and the ability to think critically and creatively. Experience in the healthcare industry is highly more »
with colleagues across the business to implement high quality, data-driven decisions. They will ensure data accuracy and consistent reporting. They will use data modelling, predictivemodelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business … identifying requirements for quality control and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements. Participate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide business decisions and uncover optimisation opportunities. more »
with colleagues across the business to implement high quality, data-driven decisions. They will ensure data accuracy and consistent reporting. They will use data modelling, predictivemodelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business … identifying requirements for quality control and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements. Participate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide business decisions and uncover optimisation opportunities. more »
with colleagues across the business to implement high quality, data-driven decisions. They will ensure data accuracy and consistent reporting. They will use data modelling, predictivemodelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business … identifying requirements for quality control and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements. Participate in cross-functional projects using data modelling and analysis techniques to discover insights that will guide business decisions and uncover optimisation opportunities. more »
to interpret data trends, patterns, and correlations, and communicate insights and recommendations to business stakeholders. • Utilize advanced machine learning and AI techniques to develop predictive models for improving business processes, customer experience, and operational efficiency. • Conduct exploratory data analysis to identify opportunities for data-driven decision-making and formulate more »
or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictivemodelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java more »
DATA SCIENTIST- LOGISTICS £50,000 - 60,000 SHEFFIELD Work a crucial role within a customer focussed team, using predictivemodelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics! THE COMPANY A UK renowned retailer within fashion going through a HUGE … the organisation! THE ROLE As the Data Scientist your focus will be to design and run experiments to collect and process relevant data for predictive models, specifically you will have to: Build and implement predictive models that drive business performance and understanding Deliver an understanding of logistics, cost … saving and supply chain, you will use predictive models to forecast and money save! Tell a story with the data through data visualisation, highlighting clear strategic direction and insights to stakeholders Help to grow the analytics capabilities of the logistics team, work with senior stakeholders to question and innovative more »
quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks more »
to have a major say and influence on projects. Key Responsibilities: Data Analysis & Modeling: Analyse large, complex datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability more »
to-end data science projects from problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictivemodelling, segmentation techniques and AI algorithms to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity more »
Weymouth, England, United Kingdom Hybrid / WFH Options
The Airedale Group
natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictivemodelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive more »
quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks more »
improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language, ideally Python but can also be Java or C/ more »
forecasting solutions, specifically focused on the European Power Markets. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. JOB RESPONSIBILITIES: Market Data Analysis: Conduct comprehensive analysis of data related to the European Power more »
quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and more »
key performance indicators (KPIs) and create dashboards and visualisations usingPower BI.Utilise SQL for data extraction, transformation, and loading (ETL) processes.Drive advanced analytics initiatives, including predictivemodelling and machine learning, usingPython.Ensure data quality, accuracy, and consistency across all reporting and analytics efforts.Provide actionable insights to support decision-making at … Science, Data Science, Business Analytics).Proven experience (5 years) in business intelligence, data analytics, or related roles.Strong proficiency inSQL,Power BI, andPython.Experience with data modelling, ETL processes, and data visualisation.Excellent leadership and communication skills.Real estate industry knowledge is a plus. If you're interested in this role, click 'apply more »
Hush to develop, maintain and draw insights from business intelligence solutions consisting of Google Big Query (Data warehouse), Domo (Visualisations), Snaplogic (ELT), and DBT (Modelling). Reporting into our Head of Technology, playing a critical role in our small Data Engineering team of 2, you’ll have the opportunity … Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictivemodelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction, and lifetime … value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress. more »
degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictivemodelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/ more »
functionally to enable data-driven decision-making. Key Responsibilities - Champion data-driven decision-making agency-wide - Analyze large datasets to extract valuable insights - Develop predictive models for forecasting - Implement attribution tracking and modeling - Utilize big data tools like Google BigQuery - Create compelling data visualizations - Communicate insights to stakeholders - Develop more »
Engagement, which work closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Pontoon Solutions
R or Python Experience of Data Visualisation tools such as Tableau or Power BI A good knowledge of core analytical methods and statistical approaches Predictivemodelling experience Experience of measuring the impact of change Candidates will need to show evidence of the above in their CV in order more »
complex data sets, Experience in developing visual reports, KPI scorecards, and dashboards using Power BI for any new Products and services, Experience in building predictive models and machine-learning, Knowledge of statistics and experience using statistical packages for analyzing datasets, Experience in data mining, Knowledge of R, SQL and more »
*Intega IT Recruitment Ltd*I.T & Technology Recruitment Experts*
unstructured data sources to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members more »