Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regressionanalysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests to optimize strategies and validate hypotheses. Strategic Performance … Analysis and Optimization Conduct in-depth analysis of KPIs, benchmarking against industry standards and historical performance. Perform multi-dimensional analysis to uncover hidden patterns and correlations in client data. Develop and maintain a comprehensive performance measurement framework, aligning metrics with client's strategic objectives. Lead root cause analyses for complex performance issues, proposing data-driven solutions. 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 ❯
problem-solving ability and passion for big data. Experience with building multi-dimensional data models for analysis. Experience with building and operating highly available, distributed data systems. Proficiency with regression, classification, and cluster analysis approaches. Experience with data visualization/reporting software (e.g., Tableau). Advanced SQL, data mining skills, and analytical tools (e.g., R, Python, SAS). More ❯
building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regressionanalysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … plans. Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm's) using regressionanalysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … it would be a bonus alternatively consultancies providing MMM would also be of interest. Experience as a Marketing Analyst, Data Scientist or similar. Proven experience and strong knowledge of regressionanalysis Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. Proficiency in Python and/or R. Excellent More ❯
Hammersmith, England, United Kingdom Hybrid / WFH Options
PCR Digital | B Corp™
building MMM's) Looking for someone with minimum 4 years experienced in Marketing Data analyst roles with at least 2 years experience building Marketing Mix Models (mmm’s) using regressionanalysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … Required Experience Qualifications & Skills: Someone with minimum 4 years experienced in Marketing Data analyst role s with at least 2 years experience building Marketing Mix Models (mmm’s) using regressionanalysis, Python/r and SQL as well as using data visualisation tools such as Looker/Tableau. If you have additional experience in the media subscription sector … it would be a bonus alternatively consultancies providing MMM would also be of interest. • Experience as a Marketing Analyst, Data Scientist or similar. • Proven experience and strong knowledge of regressionanalysis • Experience building multiple MMM's for at least 2 years, A/B tests and other statistical modelling techniques. • Proficiency in Python and/or R. • Excellent More ❯
with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret … learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability to explain complex concepts to 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 ❯
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 ❯
remaining days. Key responsibilities for this role include: Lead the gathering and integration of media performance data from both online and offline sources to support deep-dive marketing effectiveness analysis, using tools such as Excel, SQL, and Python as needed Design and analyse experiments, including A/B and geo-based testing, to evaluate the incremental impact of media … campaigns and drive continuous optimisation Play a central role in the development and refinement of Econometric Media Mix Models (MMM) and other regression-based forecasting tools to support strategic planning and media investment decisions Interrogate and translate customer data into insight, helping clients understand behavioural cohorts and informing audience strategy for future campaigns Act as the primary data point … play a central role in uncovering media effectiveness insights that directly inform strategy for our clients. You must be confident in applying a range of analytical techniques - from attribution analysis to econometric modelling - to assess campaign performance across all channels. Crucially, you'll translate complex data into clear, actionable recommendations that drive smarter media investment and continuous optimisation. Technical More ❯
of contact between GSS and its clients Leading teams of data analysts Building a good understanding of the GSS solution, configuration options and impact of configuration changes Undertaking data analysis, in Python and SQL, to identify patterns in data to tune the GSS solution Creating client-facing reports as part of project delivery and close Presenting GSS methodologies and … Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Desirable Experience in statistical modelling, and analysis using techniques such as regressionanalysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯
of professional experience as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regressionanalysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML detection, or operations … experience working with large, complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯
Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data Analyst CPS … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regressionanalysis including MMM and A/B Testing Strong verbal and written communication skills More ❯
City of London, London, United Kingdom Hybrid / WFH Options
CPS Group (UK) Limited
Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data Analyst CPS … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regressionanalysis including MMM and A/B Testing Strong verbal and written communication skills More ❯
Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: £500+ per day (Market Rates) Senior Marketing Data … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst * Highly proficient in SQL * Exposure to Data Warehousing technologies (e.g. Snowflake) * Excellent technical proficiency in statistical analysis tools - Python and/or R * Proven experience and strong knowledge of regressionanalysis including MMM and A/B Testing * Strong verbal and written communication skills More ❯
Senior Marketing Data AnalystRole: Senior Marketing Data AnalystSpecialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation SkillsType: Contract, Inside IR35Location: London (Hybrid)Start: ASAP/UrgentDuration: 6+ Months Pay Rate: £500+ per day (Market Rates)Senior Marketing Data AnalystCPS Group UK are … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst* Highly proficient in SQL* Exposure to Data Warehousing technologies (e.g. Snowflake)* Excellent technical proficiency in statistical analysis tools - Python and/or R* Proven experience and strong knowledge of regressionanalysis including MMM and A/B Testing* Strong verbal and written communication skills More ❯
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 ❯
in MMM, Marketing Mix Models. Candidate Experience Highly Proficient in Marketing Mix Models - MMM Experienced Marketing Data Analyst, Data Scientist or similar Analyst role Strong knowledge and experience of regressionanalysis including MMM Highly proficent in SQL Proficent in Python or R Data visulaisation tools such as Tableau and Looker Ideally available immediately or on short notice. More ❯
in MMM, Marketing Mix Models. Candidate Experience Highly Proficient in Marketing Mix Models - MMM Experienced Marketing Data Analyst, Data Scientist or similar Analyst role Strong knowledge and experience of regressionanalysis including MMM Highly proficent in SQL Proficent in Python or R Data visulaisation tools such as Tableau and Looker Ideally available immediately or on short notice. More ❯
London, UK (3 days onsite is required) Type: Contract Technical Skills: Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Good applied statistics skills, such as distributions, statistical testing, regression Ad-hoc analysis and presenting results in a clear manner Excellent understanding of machine learning techniques and … algorithms. Strong understanding and exposure to common data science methods and techniques (e.g. ML, regressionanalysis), tools (e.g. Python, R), platforms (e.g. Azure ML, AWS SageMaker), cloud cognitive services (e.g. NLP, Vision) and container services (e.g. Docker, Kubernetes) Experience in Programming/Scripting Languages supporting data science solutions e.g. Spark SQL, SQL, Java, Python, R Data-oriented personality More ❯
London, UK (3 days onsite is required) Type: Contract Technical Skills: Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Good applied statistics skills, such as distributions, statistical testing, regression Ad-hoc analysis and presenting results in a clear manner Excellent understanding of machine learning techniques and … algorithms. Strong understanding and exposure to common data science methods and techniques (e.g. ML, regressionanalysis), tools (e.g. Python, R), platforms (e.g. Azure ML, AWS SageMaker), cloud cognitive services (e.g. NLP, Vision) and container services (e.g. Docker, Kubernetes) Experience in Programming/Scripting Languages supporting data science solutions e.g. Spark SQL, SQL, Java, Python, R Data-oriented personality More ❯
deliver on complex projects. Key Responsibilities: Perform in-depth quantitative research of ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. Candidate Profile: 7-10 years relevant quantitative research More ❯
The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative Researchers collect and analyze tens … of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump's Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business … success with profitable trading strategies. Strong programming skills in C Python in a Linux environment. Working knowledge of forecasting and data mining techniques, such as linear and non-linear regressionanalysis, neural networks, or support vector machines. Strong experience developing statistical models in a trading environment. Proven success working with large data sets and developing statistical models. Fascinated More ❯
You'll use your experience to date, to problem solve and ensure the best combination of tools and solutions are used for each project. You'll have exceptional data analysis skills and the ability to apply multiple types of data science. Excellent knowledge of statistics (hypothesis testing, regressionanalysis, ANOVA, etc) as well as experience of coding More ❯
Object, SQL, NOSQL) • Authentication, Authorisation, Identity Platforms • Information Security, Privacy and Regulatory Compliance • Performance Tuning, Hardening and Troubleshooting • Problem Solving Skills to Methodically Find Faults and perform Root Cause Analysis • Able to evaluate multiple courses of action, achieving goals by non-standard means if necessary • System Regression • Protocol Analysis • Load Testing • Availability and Resilience Optimisation • Lockdowns and More ❯
Online Video, others) Work with markets in Europe to calibrate Marketing Mix Model response curves into the agency media planning software. Lead the development of consolidated Marketing Mix Model analysis for Nestlé Category teams. Utilize statistical techniques to apply available FMCG benchmarks to complete missing information. Provide relevant inputs to Nestlé Zone Europe Media Principles and work with category … same time Polished verbal and written communications skills Familiar with some of theoretical/practical knowledge on the techniques described below: Marketing or Media Mix Modelling (understand outputs, perform) Regression/Multi-variate regressionanalysis Ad Effectiveness research A/B Tests, Lift analysis, Multicell analysis Digital & Multi-touch attribution Media Mix Optimization, based on More ❯
