76 to 100 of 475 Economics Jobs in England

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 ❯

campaign development and delivery. What We're Looking For: A recent graduate (or early-career applicant) with a degree in a numerate, technical, or analytical subject (e.g. Computer Science, Economics, Psychology, Maths, Data Science, etc.). Interest in one or more areas: marketing analytics, data engineering, customer insights, or data science. Comfortable working with numbers and exploring datasets; familiarity with More ❯

platforms such as Python, SQL, Vector stores & graphs, Power BI, Looker, and modern analytics stacks. Bachelor’s or Master’s degree in a quantitative field (e.g. Data Science, Statistics, Economics). MBA or business qualifications are a plus. Strong track record in generating revenue and leading commercial data science initiatives. Proven experience working with senior stakeholders and translating complex technical More ❯

key analytics priorities and ongoing projects. The morning might continue with deep-dive analytical sessions to study marketplace performance data and build impact models. You'll collaborate with the Economics team to analyze patterns between seller metrics and customer behavior, working together to identify key trends and insights. Your day includes partnering with Finance teams to develop business impact assessments 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 ❯

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 ❯

opportunities that strengthen or weaken the business case Representation of Fluence at industry conferences and other events Skill Requirements Master's degree in a relevant subject (environmental studies, business, economics, engineering, sciences, computer science, mathematics, statistics, etc.) or equivalent demonstration through additional work experience Minimum 5 years of sales, technical or commercial experience in the power generation or a related More ❯

least 12 months of work experience* + robust onboarding plan (learner must work in the organisation for 3 months before signing up) OR business-related degree eg business, finance, economics, maths, etc. OR non-business-related degree + at least 6 months of work experience* OR existing staff member with 2+ years of work experience** *Work experience relates to any More ❯

of program or project management experience - Experience using data to influence business decisions - Bachelor's degree - 5+ years of interacting with customers/stake holders experience - Bachelors degree in Economics, Marketing, Advertising, Statistics, Engineering or Business - Proven track record of building and cultivating relationships with internal and external stakeholders, driving decisions collaboratively, resolving conflicts, and ensuring follow-through. - Experience using More ❯

We're looking for someone who is naturally curious, analytical, and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or More ❯

collaborative work environment that fosters shared understanding, transparency, autonomy, innovation, and continuous knowledge acquisition through systematic methodologies and measurable performance indicators. Basic Qualifications: Bachelor's degree Computer Science, Mathematics, Economics, Business, or related; or relevant experience 5+ years of product management experience delivering data products, services, and capabilities Proven track record in building and optimizing big data pipelines with emphasis More ❯

least V22+. Experience with systems aspect such as installation, upgrades, health checks, is a plus. Technical Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Accounting, Economics, or a directly related IT field. 15+ years’ experience in Software Design and Development or deployment of enterprise software in client environments. Minimum 10-years’ direct experience with Openlink in More ❯

least V22+. Experience with systems aspect such as installation, upgrades, health checks, is a plus. Technical Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Accounting, Economics, or a directly related IT field. 15+ years’ experience in Software Design and Development or deployment of enterprise software in client environments Minimum 10-years’ direct experience with Openlink in 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 ❯

Trading Operations Assistant - 2025 Graduates Maths/Stats/Economics -2.1 & Above Graduate Opportunity - Suitable for Maths, Economics, Physics or similar - 2:1 & above Trading Operation Assistant (not financial trading) - Central London - Salary up to £33,000 dependent on skills & experience - J12969 Candidates applying for this role will agree to work on a shift pattern basis with early mornings More ❯

Trading Operations Assistant - 2025 Graduates Maths/Stats/Economics -2.1 & Above Graduate Opportunity - Suitable for Maths, Economics, Physics or similar - 2:1 & above Trading Operation Assistant (not financial trading) - Central London - Salary up to £33,000 dependent on skills & experience - J12969 Candidates applying for this role will agree to work on a shift pattern basis with early mornings More ❯

tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community. About the team The Video Economics team consists of PhD-trained structural and causal-inference Economists. We are an high-impact team driving decision-making in areas including PV with ads and content portfolio optimization. BASIC … QUALIFICATIONS - Completed PhD in Economics or equivalent - Expert knowledge in applying empirical techniques in reduced-form causal analysis and econometric modelling - Proficiency in using programmatic scripting languages for data analysis (e.g. Python, R) and extraction (SQL) PREFERRED QUALIFICATIONS - 5+ years in post-doctoral work experience - Proficiency in optimization and microeconomic modelling and/or empirical IO - Strong publication record - Effective More ❯

An expanding, fast paced financial services organisation, based in Slough, are looking for an Economics, Mathematics, Statistics, Data Analytics Graduate (or similar degree), to work as a Residual Value Graduate. The role requires the ability to analyse data to predict the future value of assets (vehicles) following a leasing period. Excellent numerical and analytical skills are essential along with strong … of day to day queries. Be reactive and creative in responding in any requests from the business for contract hire bespoke quotes. Skills/Experience : Bachelor's degree in Economics or Maths, Data Analytics, or degrees in other analytical/numerical subjects Advanced Excel skills Ability to analyse large data sets from several sources accurately Good communication skills and comfortable More ❯

/Experience: Experience in the Financial Services Industry (Essential) Experience working with large data sets, Excel and SQL proficiency (Essential) Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Essential) Strong proficiency in programming languages such as Python, R (Preferable) Experience using Salesforce and data visualisation tools (Preferable) Strong presentation skills, including the ability to translate … environment. Profile Experience in the Financial Services Industry (Essential) Experience working with large data sets, Excel and SQL proficiency (Essential) Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Essential) Strong proficiency in programming languages such as Python, R (Preferable) Experience using Salesforce and data visualisation tools (Preferable) Strong presentation skills, including the ability to translate More ❯

Candidates should demonstrate basic business acumen—the ability to understand financial drivers and how business decisions impact product and company performance. Familiarity with financial statements, revenue models, or unit economics is a strong plus. Experience with tools or other programming languages such as R, Python, or JavaScript are nice-to-have but not required. This is an excellent opportunity to … Work closely with BizOps and Tech to identify and prioritize technical improvements related to platform operations. Qualifications and Experience Education: Bachelor’s degree in Data Science, Finance/Commerce, Economics, Computer Science, or another relevant quantitative field. Role Experience: 1–2 years of experience in a relevant role; recent high-performing graduates will also be considered. Industry Experience: Experience in More ❯

Candidates should demonstrate basic business acumen—the ability to understand financial drivers and how business decisions impact product and company performance. Familiarity with financial statements, revenue models, or unit economics is a strong plus. Experience with tools or other programming languages such as R, Python, or JavaScript are nice-to-have but not required. This is an excellent opportunity to … Work closely with BizOps and Tech to identify and prioritize technical improvements related to platform operations. Qualifications and Experience Education: Bachelor’s degree in Data Science, Finance/Commerce, Economics, Computer Science, or another relevant quantitative field. Role Experience: 1–2 years of experience in a relevant role; recent high-performing graduates will also be considered. Industry Experience: Experience in More ❯

interactive performance dashboards Liaise with business stakeholders Work as a team to solve complex problems Your profile: Must Have 2:1 or above in Maths, Business, Accountancy & Finance or Economics Experience of querying databases (Ideally SQL). Knowledge of statistics and experience using statistical packages for analysing datasets (Ideally SPSS Modeller). Advanced Microsoft Excel experience Strong analytical skills with More ❯

manage and optimise risks within the firm's risk framework. WORK EXPERIENCE/BACKGROUND: Essential Quantitative degree from a Top Tier institution (Maths, Physics, Engineering, Computer Science, Finance or Economics) Between 4 and 7 years of experience in a Quantitative-intensive role: Risk Management, Quant, Trading, Structuring Experience in data analysis Experience in coding and creating tactical tools in Excel More ❯

What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. Confidence working across a full data science tech stack—pipelines More ❯

What You’ll Need: 5–7 years’ experience applying data science to business problems. Educated to at least degree level in Statistics, Mathematics, Machine Learning, Computer Science, Chemistry, Physics, Economics or related field. Advanced skills Python and SQL (Pyspark a bonus). Experience with statistical modelling and machine learning workflows. Confidence working across a full data science tech stack—pipelines More ❯