1 to 25 of 132 Economics Jobs in London

and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or More ❯

and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or More ❯

environments. Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in Data Science, Statistics More ❯

the confidence to suggest business improvements. • Ability to work under pressure and turn challenges into opportunities. • International business experience (Europe & US) is a plus. • A degree in Finance, Mathematics, Economics, or a related field. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic More ❯

the confidence to suggest business improvements. • Ability to work under pressure and turn challenges into opportunities. • International business experience (Europe & US) is a plus. • A degree in Finance, Mathematics, Economics, or a related field. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic More ❯

a plus. Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences. Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments. PhD in Data More ❯

Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. • Takes ownership and shows tenacity in delivering outcomes. • Quick learner with high standards and integrity. • Team player More ❯

Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. • Takes ownership and shows tenacity in delivering outcomes. • Quick learner with high standards and integrity. • Team player More ❯

BI, or similar tools is an advantage. Ability to communicate complex findings clearly and concisely. Well-organised with strong problem-solving and time management skills. Degree in Mathematics, Statistics, Economics, Computer Science, or a related discipline preferred (not essential). Up to 2 years’ experience in a data-related or analytical role — graduates are welcome to apply. What’s on More ❯

You You do not need prior experience, but you should have a strong interest in data and a willingness to learn. You will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data More ❯

and go-to expert for data-driven transformation => BUILD TRUST OK, AND HOW CAN YOU GET THERE? You have a Master’s degree in a relevant field such as Economics, Engineering, Data Science, Computer Science, Finance, or Business Analytics. You are fluent in English Max 3–5 years of experience in a similar role, ideally gained in consulting or with More ❯

and go-to expert for data-driven transformation => BUILD TRUST OK, AND HOW CAN YOU GET THERE? You have a Master’s degree in a relevant field such as Economics, Engineering, Data Science, Computer Science, Finance, or Business Analytics. You are fluent in English Max 3–5 years of experience in a similar role, ideally gained in consulting or with More ❯

be successful Are you a second or final-year student pursuing a Bachelor's or Master's degree in Data Science/Analytics, Computer Science, Social Science, STEM, or Economics/Business/Finance? If you have a knack for transforming data into compelling narratives through numbers and visualization, we want you Have you previously tackled challenges using coding, especially More ❯

PowerBI, or similar Foundational knowledge of data querying languages such as SQL, Python Familiarity with SharePoint, Power Automate and MS Fabric Tertiary study in a related area (Data Science, Economics or Mathematics) beneficial Advanced MS Office suite skills (ie Word, Excel, Visio, PowerPoint) High level of attention to detail, excellent organisational skills and ability to prioritise Ability to work effectively More ❯

objectives. Provide timely data insights that can be understood by a range of stakeholders at all levels of the business. Qualifications and Education: Bachelor's degree in Business, Finance, Economics, Data Science, Transport Planning, or a related field. MBA or relevant advanced degree is a plus. Strong financial acumen with expertise in commercial modelling and pricing strategy development. Excellent analytical More ❯

innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would be desirable Please see attached Job Description and Person Specification for further details. About Us: Victim Support (VS) is an independent charity providing a More ❯

to effectively present ideas and influence stakeholders at all levels. - Proactive approach to identifying and solving complex problems, ensuring smooth program delivery. Preferred Qualifications - Bachelor's degree in Business, Economics, Data Analytics, or a related field - Familiarity with customer experience principles and metrics (e.g., NPS, retention rates). - Experience working with data visualization tools (e.g., Tableau, Power BI). - PMP More ❯

to effectively present ideas and influence stakeholders at all levels. - Proactive approach to identifying and solving complex problems, ensuring smooth program delivery. Preferred Qualifications - Bachelor's degree in Business, Economics, Data Analytics, or a related field - Familiarity with customer experience principles and metrics (e.g., NPS, retention rates). - Experience working with data visualization tools (e.g., Tableau, Power BI). - PMP More ❯

Experience collaborating across regions or international offices; familiarity with Japanese business culture a distinct advantage. Experienced in preparing management reports, dashboards, and presentations for senior stakeholders Degree in Business, Economics, Statistics, or a related discipline (Master's or professional qualification advantageous) Video games industry knowledge and interest in market and product dynamics Business level fluency in both English and Japanese More ❯

them, we will help you grow to 100%! Who You Are Experience & Education: A degree or master’s level education, ideally within a quantitative discipline (e.g., Mathematics, Computer Science, Economics). 5+ years in an analytics or engineering role. Experience analysing data to drive business impact. Strategic Skills: Business-focused and ability to produce actionable insights. Organised, collaborative and ability More ❯

them, we will help you grow to 100%! Who You Are Experience & Education: A degree or master’s level education, ideally within a quantitative discipline (e.g., Mathematics, Computer Science, Economics). 5+ years in an analytics or engineering role. Experience analysing data to drive business impact. Strategic Skills: Business-focused and ability to produce actionable insights. Organised, collaborative and ability More ❯

visualization tools (e.g., Tableau, Power BI). · Curiosity and Eagerness to learn · Experience working in or with top-tier consulting firms is highly desirable. · Bachelor's degree in Business, Economics, Marketing, or related field; MBA or equivalent is a plus. What We Offer: · Competitive salary and performance-based bonuses. · Opportunities for professional growth and career advancement. · Flexible work hours and More ❯

findings effectively Contribute to the automation and optimisation of analytical workflows What we’re looking for Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis More ❯

findings effectively Contribute to the automation and optimisation of analytical workflows What we’re looking for Master’s degree (or higher) Data Science, Computer Science, Mathematics, Statistics, Physics, or Economics Strong academic background – ideally from a Redbrick or Russell Group university Proficient in Python (pandas, NumPy, scikit-learn, etc.) and SQL Solid understanding of machine learning concepts and statistical analysis More ❯

statistical modelling, machine learning, and data science, continuously evaluating and integrating new techniques and tools. Requirements: University degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering, Physics, Economics); advanced degree preferred. Strong expertise in statistical modelling, Bayesian inference, and machine learning. Proficient in Python (using libraries such as NumPy, pandas, scikit-learn, PyMC or Stan) Experienced in SQL. More ❯