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 regressionanalysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation … 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 stakeholders. Business More ❯
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 regressionanalysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation … 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 stakeholders. Business More ❯
Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regressionanalysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data … predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and their causes. This analysis can help in adjusting the predictive models to account for recurrent issues. 4. Route Optimization: Use … data can provide insights into vehicle performance, road conditions, and other factors that influence travel time. 7. Advanced Analytics Techniques: Employ advanced analytics techniques like time series forecasting, geospatial analysis, and simulation models to enhance the robustness of ETA predictions. Skills, Knowledge and Expertise We value diversity and encourage all interested candidates, regardless of whether they meet all qualifications More ❯
Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness. As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You … of data quality, data product development, and operational efficiency Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regressionanalysis Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies Deliver actionable insights through advanced analytics, and compelling … for the role. A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis Strong coding skills ideally in Python and experience with SQL for data querying Familiarity with version control systems (e.g. More ❯
dynamic agencies with 400 employees across 12 locations in Europe, US, and APAC. Position Our primary focus is segmentation, which constitutes our largest volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of natural language processing, to consult on … their data analytics skills further. The successful candidate should have advanced knowledge and experience with a range of multivariate techniques, be a specialist in segmentation, and ideally understand conjoint analysis and unstructured data analysis. The ability to consult and work with diverse data sources, analyze large datasets, and communicate persuasively with clients and internal teams is essential. Core Responsibilities … including survey, database, and hybrid segmentations using multiple data sources. Apply best practices in segmentation to produce high-quality, actionable insights for clients. Create segmentation models using multinomial logistic regression and linear discriminant analysis. Advanced Analytics Skills Strong working knowledge of analytical techniques such as conjoint analysis, machine learning (e.g., Random Forests, SVM), statistical methods (e.g., regressionMore ❯
or at client sites a minimum of three days per week. You'll make an impact by: Managing and Delivering an agreed portfolio of Consulting model development and quantitative analysis assignments, scoping and planning work, preparing or reviewing deliverables, setting and working to agreed budgets, managing risk and maintaining high levels of quality and good commercial outcomes. Completion of … associated documentation to a high standard is expected. Developing complex statistical models and tools; techniques including (inter alia) regressionanalysis, time series and survival analyses, Monte Carlo simulation. Coding and review of tools in modern computing languages (e.g. R, SAS or Python). Acting as an auditor's expert which may involve the development, review and testing of More ❯
complex, real-world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for More ❯
complex, real-world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for More ❯
