Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights - unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We're working with a respected client based in Central London … analytical team with a bright and motivated Graduate Data Analyst. If you hold a degree (or master's) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics, and are passionate about working with data to deliver real-world insights, this could be your ideal first step. About the Role This is a full-time, office-based position … structured, client-ready Word documents What We're Looking For • A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics • A relevant Master's degree is a strong advantage • Advanced Microsoft Excel skills (essential) • Problem solving skills • Experience managing large datasets using tools such as SAS, Stata, R, or Python More ❯
leading-edge thinking, new data sources, and innovative modelling techniques. Candidate Profile: Educated to degree level in a quantitative discipline (e.g. Mathematics, Economics, Engineering) with additional training in forecasting, econometrics, or statistics an advantage. Solid understanding of the aviation, transport, or infrastructure sector, with strong commercial awareness and interest in global economic trends. Proven experience delivering impactful forecasts that influence More ❯
Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. Strong Business Analyst skills, including process mapping, requirements gathering,and stakeholder management Previous experience and good understanding More ❯
City of London, London, United Kingdom Hybrid / WFH Options
MBN Solutions
Senior/Principal Econometrics Consultant £60,000-£90,000 Depending on Experience MBN solutions has partnered with an independent Econometrics Consultancy in search for several Econometrics and MMM professionals to join their team at several levels of seniority. 🌟 About Us: Based in London, they work with global brands across luxury retail, online gaming, streaming platforms, TV, electronics, and FMCG. They … and driving client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. More ❯
Senior/Principal Econometrics Consultant £60,000-£90,000 Depending on Experience MBN solutions has partnered with an independent Econometrics Consultancy in search for several Econometrics and MMM professionals to join their team at several levels of seniority. 🌟 About Us: Based in London, they work with global brands across luxury retail, online gaming, streaming platforms, TV, electronics, and FMCG. They … and driving client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. More ❯
Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights.- Conduct descriptive analysis and deep dives in large-scale data to identify key insights and opportunities that will craft the future of marketing strategy and … advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯
Analytics: Explore machine 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 More ❯
facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯
facilitate informed decision-making. High entrepreneurial attitude required to develop a business. The successful candidate is likely to be educated to degree level in Data Science, Mathematics, Physics, Engineering, Econometrics, or a similar highly quantitative discipline. More ❯
Senior Data Scientist - Econometrics & Advanced Attribution Location: London/Hybrid - UK remote a possible option Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity … modelling engagements to the development of scalable AI-enabled solutions across marketing, operations, and investment analytics. The Role They are seeking a Senior Data Scientist with deep expertise in econometrics and advanced attribution modelling to lead a flagship client engagement with one of the world's most prominent education businesses. This individual will take end-to-end ownership of Marketing More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
Senior Data Scientist - Econometrics & Advanced Attribution Location: London/Hybrid - UK remote a possible option Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity … modelling engagements to the development of scalable AI-enabled solutions across marketing, operations, and investment analytics. The Role They are seeking a Senior Data Scientist with deep expertise in econometrics and advanced attribution modelling to lead a flagship client engagement with one of the world's most prominent education businesses. This individual will take end-to-end ownership of Marketing More ❯
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 More ❯
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 More ❯
of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with recent developments in GenAI and LLMs. Econometrics/Financial Engineering background. Time series modelling. Cloud (AWS, GCP, Azure). Experience with model visualization and explainability. About S&P Global Market Intelligence: At S&P Global Market Intelligence More ❯
customer choice behaviour? The work you will do will have a direct, measurable impact on the bottom line of the company. Requirements: Masters Degree or PhD in Economics or Econometrics (preferred) Always curious and willing to learn new skills A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business-relevant economic problems A critical More ❯
Contract - Senior Data Scientist - Econometrics & Advanced Attribution Initial project commitment: 10 days per month/1 year Location: London/Hybrid - UK remote possible Type: Part time/Contract Day Rate: Outside IR35 Job Reference: J12972 About the Company Our client is a fast-growing Data Science, Machine Learning, and AI Consultancy supporting leading private equity firms and high-growth … drive returns. Projects range from bespoke consulting and modelling to scalable AI solutions in marketing, operations, and investment analytics. The Role Seeking a Senior Data Scientist with expertise in econometrics and advanced attribution modelling to lead a key client engagement with a prominent education business. Responsibilities include end-to-end ownership of Marketing Mix Modelling (MMM), working with senior stakeholders More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Nicholson Glover
to macroeconomic shocks. Mentor analysts and collaborate across strategy, finance, and operational teams. What you’ll bring: Degree in a quantitative field (e.g. Maths, Engineering, Economics) Experience in forecasting, econometrics, or transport modelling Skilled in Excel, PowerBI; familiarity with Python or R preferred Confident communicator with board-level presentation skills Ideally from aviation, transport, infrastructure, or strategic consulting Why apply More ❯
Out in Science, Technology, Engineering, and Mathematics
including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent More ❯
Out in Science, Technology, Engineering, and Mathematics
including a clear understanding of data structures, algorithms, software design and core programming concepts Expertise in an aspect of quantitative analysis, e.g. mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. Experience with financial markets and assets; preference for vanilla interest rate derivative pricing, bond and deposit pricing, curve construction, hedging strategies and risk management. Excellent More ❯
and self-starting approach, thriving in a fast-paced environment Candidate Profile A master's or PhD degree in a quantitative science discipline, such as Economics, Statistics, Data Science, Econometrics, Math, or Financial Engineering 2+ years of experience with Python and SQL for data analysis and manipulation Demonstrated experience in data cleaning, validation, and addressing data quality issues Experience developing More ❯
of experience in a quantitative research role, with a focus on trading signal development. Experience working with large and diverse datasets to generate trading insights. Background in quantitative finance, econometrics, asset pricing, or macroeconomics. Familiarity with macro markets (Equity indices, Currencies, Commodities, Fixed Income) is highly desirable. Experience utilizing alternative data sources to develop and deploy trading strategies is a More ❯
Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of developing and implementing successful quantitative More ❯
Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of developing and implementing successful quantitative More ❯
such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Physics, Statistics, Econometrics, or Quantitative Finance. 2–5 years of hands-on experience as a quant developer or analyst within a financial institution. Demonstrable Python experience in a collaborative, version-controlled production environment. More ❯
such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Physics, Statistics, Econometrics, or Quantitative Finance. 2–5 years of hands-on experience as a quant developer or analyst within a financial institution. Demonstrable Python experience in a collaborative, version-controlled production environment. More ❯