51 to 75 of 546 Economics Jobs in the UK

recommendations • Be someone who enjoys, and shows an appetite for, learning new skills and adopting new analytic methodologies and tools BASIC QUALIFICATIONS - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical … consulting firm or advertising experience with a top advertiser (agency or client side) - Experience with advertising publishers and marketing/creative agencies - MBA, Master's or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience - Experience in ad measurement, predictive analytics, experimental design, A/B testing - Experience and familiarity with AWS stack - Fluent in More ❯

delivers the highest standards of analysis and reporting to key external groups What are we looking for? Minimum 2:1 within a numeric based degree i.e., Maths, Computer science, Economics, Business, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e., Pivot Tables and V-Lookups Working knowledge of one or more of the following is advantageous More ❯

revenue decisions. 🤝 Team up with engineers to surface data in customer-facing tools. 🎯 Handle ad-hoc analytics for marketing, product & ops. 💡 Core Skill Set 🎓 Degree in Computer Science, Statistics, Economics (or similar). 1 + year in a Data Analyst role. Python data-wrangling mastery. Excel power-user (Power Query, pivots; VBA a plus). Bonus: BI/viz chops More ❯

applying AI/ML to solve complex business challenges. Nice to Have: Exposure to B2B pricing models, SaaS optimisation, or CRM systems (e.g., Salesforce). Interest in finance, behavioural economics, or negotiation science. If you’re excited to leverage AI/ML for strategic decision-making and want to see your work shape the future of commercial performance, we’d More ❯

applying AI/ML to solve complex business challenges. Nice to Have: Exposure to B2B pricing models, SaaS optimisation, or CRM systems (e.g., Salesforce). Interest in finance, behavioural economics, or negotiation science. If you’re excited to leverage AI/ML for strategic decision-making and want to see your work shape the future of commercial performance, we’d More ❯

optimisation of risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending More ❯

optimisation of risk-adjusted returns Collaborate cross-functionally with product, finance, compliance, and operations teams to align risk management with business strategy Your Skills and Experience Degree in Finance, Economics, Statistics, Mathematics or related field Proficiency in SQL Strong knowledge of credit risk concepts and metrics (PD, LGD, EAD) Demonstrated experience in credit risk analysis, ideally within fintech or lending More ❯

applying statistical methods such as linear regression, KMM, forecasting models, and experimentation. Strong communication skills with the ability to simplify complex analysis for business audiences. Degree in Mathematics, Statistics, Economics or related quantitative field. Desirable: Experience working with SageMaker or similar cloud-based ML platforms. Prior experience in subscription or membership-based consumer businesses. Exposure to marketing mix modelling or More ❯

management. Process optimization to identify inefficiencies and recommend improvements. Ability to work with internal business optimisation groups. What You'll Bring: Bachelor's or Master’s degree in Business, Economics, Statistics, or related fields. Confident in using PowerApps suite, Power BI, M365. SQL and database management for querying and handling structured data. Programming in Python, R, or SAS for analytics More ❯

strong understanding of the latest tracking trends, technologies, and best practices, and share knowledge with the team Qualifications Education: Bachelor's degree in a relevant field (e.g., Marketing, Statistics, Economics, Business, Mathematics, Computer Science) Experience: 2+ years of experience in a digital analytics role, preferably within a marketing agency Stronger candidates will have 5+ years of experience in a client More ❯

balancing profitability and market competitiveness. Excellent communication and stakeholder management skills. Ability to work independently and manage multiple projects in a fast-paced setting. Preferred Qualifications Degree in Finance, Economics, Business, Mathematics, or related fields. Experience in SaaS, technology, or subscription-based models is advantageous. Benefits Flexible working arrangements, including Everyday Flex. 25 days annual leave plus extra days for More ❯

for a role where you can do more, learn faster, and drive real change. Academic background: You hold a Master's degree in a relevant field (mathematics, actuarial studies, economics, etc.), providing a strong theoretical foundation. Insurance experience: You have 3 to 5 years of successful experience in P&C (re)insurance, with a good understanding of industry challenges. Technical More ❯

languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience - Experience with statistical models e.g. multinomial logistic regression PREFERRED QUALIFICATIONS - 2+ years of More ❯

as well assupport the achievement of group compliance targets in alignment with policies, strategies and processes. What do you have to offer? Degree with emphasis on areas of Business, Economics, Finance, Procurement, or comparable professional education. Strong experience in data analysis, ideally procurement data analysis Recent experience of working with (and implementation of) a procurement end to end (source to More ❯

Demonstrate an ownership attitude 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 More ❯

Stay current with developments in AI, large language models, and other emerging technologies. Key Requirements: Education: A Master's or PhD in a relevant discipline (e.g. Sociology, Political Science, Economics, Psychology, Social Policy, Public Health, Marketing) or other social science fields with strong statistical training and survey research components. Experience: Demonstrated experience working with survey data in market research, commercial More ❯

SQL skills are a must, with proficiency in Tableau, Excel, BigQuery, and Hive for data analysis and visualization. Bachelor's degree or higher in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering). 5+ years of experience in data or business analysis, with a proven track record of delivering actionable insights. Why Group We offer a stage to unleash your More ❯

software - Experience using Microsoft Excel to manipulate and analyze data - Experience defining, refining and implementing sales processes, procedures and policies or equivalent - Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field PREFERRED QUALIFICATIONS - Experience working within a high-growth, technology company - Experience in finance, business management and sales operations - Experience developing and implementing systems/ More ❯

integrity. Requirements 5+ years' experience in quantitative analysis, within a gaming, entertainment, or digital consumer products organization 5+ years' experience managing people, growing skillsets & coaching Degree in Statistics, Mathematics, Economics, related discipline or equivalent work experience Experience Delivering & coaching analytical presentations to large groups & senior management Be product focused, you will be expected to play & know the games we make More ❯

should be about to enter the final year of a bachelor's or master's degree in any discipline with strong academic performance in analytic and quantitative coursework (business, economics, marketing, psychology, physical or life sciences, engineering, applied mathematics, statistics or relevant fields) Proficiency in Microsoft Office Suite High motivation, good work ethic, maturity and personal initiative Effective oral and More ❯

time zones Ownership mindset- you own the end-to-end lifecycle of a product starting from ideation to adoption and maintenance Bachelors or Masters in math, physics, computer science, economics or equivalent Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include More ❯

company ideally with experience working on Operational Analytics, a data-based consulting role, or other data strategy type positions). Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), Master's Degree a plus. Tools: You will have knowledge of key industry tools, SQL, Tableau, and Excel. Specifically for this role that would include: Advanced SQL More ❯

completed by the data team Understands how to document client feedback and recognizes when to escalate issues Questions and output reflect basic knowledge of client's business - financials, industry economics, competitive dynamics, marketing channels and client strategic issues Tools & Techniques Shows mastery of client-specific data tools and platforms for reporting purposes Has advanced Excel skills with experience in manipulating More ❯

complex, high-impact projects within tight timeframes, delivering measurable outcomes. Experience working in high-growth, technology-focused environments is highly desirable. Education: Bachelor's degree in Business Administration, Management, Economics, or a related field. An MBA or advanced degree is highly preferred. Technical and Analytical Skills: Expertise in CRM platforms such as Salesforce and proficiency in data visualization tools (e.g. More ❯

advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical … and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g. More ❯