1 to 25 of 92 Remote Economics Jobs in London

practices, ensuring data quality and acting as a key data stakeholder Document data sources, definitions, and methodologies Required Qualifications Technical Skills Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field Demonstrable experience in data analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting More ❯

and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're eager More ❯

and flexibility to make the most of your talents at Temper. What makes you a great fit: Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, or a related discipline. Strong analytical and problem-solving skills with the ability to break down complex issues into manageable components. Proficiency in SQL for data querying and manipulation. A More ❯

deliverables. Conduct market and competitor research to support strategic recommendations. Contribute to process improvement initiatives and automation projects. Required Qualifications Currently studying or recently graduated in Business, Data Analytics, Economics, or a related field. Strong analytical and problem-solving skills. Proficiency in Microsoft Excel; familiarity with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication More ❯

deliverables. Conduct market and competitor research to support strategic recommendations. Contribute to process improvement initiatives and automation projects. Required Qualifications Currently studying or recently graduated in Business, Data Analytics, Economics, or a related field. Strong analytical and problem-solving skills. Proficiency in Microsoft Excel; familiarity with BI tools (e.g., Power BI, Tableau) is an advantage. Excellent written and verbal communication More ❯

Works well in cross-functional teams and contributes to team rituals ( e.g. planning, retrospectives). Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or Computer Science, and 2-3 years of experience in an analytics or commercial insights role-preferably with exposure to pricing, promotions, or trading analytics. Health Cash Plan Life More ❯

Collaboration: Works across functions with BI, Supply, Product, and Data teams to land scalable data solutions. Education & Experience: You have a degree in a quantitative field such as Mathematics, Economics, Statistics, or Engineering, and 6+ years of experience in analytics—at least 2–4 years in a team management or senior stakeholder-facing role, ideally in a retail or commercial More ❯

independently Drive standardization of KPIs and contribute to data governance Champion data quality, consistency, and efficiency in analytics reporting Education and Experience Bachelor's degree in finance, accounting, marketing, economics, IT, or related field Demonstrated experience working in commercial analytical roles of increasing responsibility, preferably in healthcare, life sciences, or commercial operations Experience driving commercial/sales process improvement Experience More ❯

with compliance requirements. Excellent communication and interpersonal skills, capable of articulating insights and recommendations to technical and non-technical audiences. A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience. Also Desirable: Experience with credit scoring models and decision systems. Modelling experience within financial services. Experience working in a scale-up or high-growth More ❯

smoothly for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python 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 ❯

complex concepts into simple and actionable insights for stakeholders Company: Graduate Recruitment Bureau (Hiring for client) Location: London, Remote Working Salary Notes: £60-80k Courses Considered: Data Science,Economics,IT,Maths and Stats,Physics, Jobs related to Senior Data Science Consultant: The Company An organisation whose products genuinely seek to improve the world in which we live, view job More ❯

experience in analytics, marketing science, measurement, or consulting, with direct client-facing leadership. Bachelor's or Master's in a quantitative or analytical field (e.g., Business, Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field). 5+ years' experience in a consultative or advisory role Preferred Qualifications Deep expertise in advertising measurement methodologies, incl. attribution, MMM, incrementality, online/ More ❯

. Team contribution: Mentors others, shares knowledge, and strengthens analytics delivery through collaboration. Education & Experience: You have a degree in a quantitative field such as Geography, Statistics, Engineering, or Economics, and 4–6 years of experience in analytics—preferably with exposure to property, space, or store planning. Benefits Wellbeing & Lifestyle Benefits Health Cash Plan Life Assurance Incentive Scheme Virtual GP More ❯

during studies. Initially being offered on a 12 month fixed term contract however, opportunities to extend to 24 months may be possible. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have experience delivering business insights and stakeholder engagement. You will be expected to provide analytical expertise and More ❯

and data visualization tools (Data Studio, Tableau). Python is a plus. Experience with big data sets (billions of rows) preferred. Advanced Microsoft Excel skills. Degree in Mathematics, Statistics, Economics, or Computer Science preferred. Strong organizational, communication, and time management skills. Ability to take initiative and manage projects independently. We welcome applications from candidates who meet most requirements and have More ❯

Strong communication and collaboration skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current More ❯

Strong communication and collaboration skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current More ❯

empower Finance and Pricing teams to identify and negotiate through renewals and growth opportunities You should have the following experience and qualities: BA/BS in business, data science, economics, sciences, arts, humanities, or engineering degree, with a quantitative background 2 years or more in an analytical/quantitative role or Business Intelligence (BI) role Strong analytical and problem-solving More ❯

solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or similar, and More ❯

Creation Leaders and Equity Leads Credit officers and other internal clients Under initial supervision with external clients at appropriate levels Knowledge, Skills and Experience University degree in finance/economics/business, econometrics/computer science or related subject from a leading university in the country of education Quantitative/numerical skills are essential with the ability to interpret financial More ❯

processes, workflows, and technical documentation • Demonstrated ability designing effective solutions to complex problems; intuitive/natural aptitude for problem solving. Education/Experience: • Bachelor’s degree in business management, economics, finance, accounting or relevant field required. More ❯

processes, workflows, and technical documentation • Demonstrated ability designing effective solutions to complex problems; intuitive/natural aptitude for problem solving. Education/Experience: • Bachelor’s degree in business management, economics, finance, accounting or relevant field required. More ❯

collaborating with various internal stakeholders, including HR Business Partners, Talent Acquisition, Finance, Sales Operations, and external Survey providers Qualifications Qualifications: Bachelor's or master's degree in HR or Economics 1 to 3 years' experience, ideally in Compensation Specialist role Strong analytical skills Knowledge of market surveys like AON/Radford, IPAS, Mercer, etc and their job evaluation methodology Knowledge More ❯

technical audiences, including leadership. Who You Are 5+ years of experience in data science, including experience in the fraud prevention domain. A degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another quantitative field. Proven leadership experience, either as a people manager or mentor, inspiring others and shaping project direction. Hands-on expertise with machine learning, including applying ML to More ❯