impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity more »
Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics into executive-level reports and presentations and articulating their implications for business decisions. Exposure to using operational MI to achieve business targets and improve performance more »
and bring stakeholders on the journey with themWhat we’re looking forA strong quantitative academic background likely to consist of a university degree (e.g. statistics, mathematics, physics, machine learning, engineering)Experience of generating data science solutions by working with customer data to drive business activity is crucial.Experienced at managing a more »
technology. Communicate regularly with internal and external stakeholder presenting clear and insightful findings. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in more »
working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance of confidence more »
on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong more »
market trends, news, and developments that could impact trading strategies. Qualifications: Advanced degree (Master’s or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience more »
the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines. Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Finance, or a related field. Experience working with Salesforce from a data/pipeline management perspective along with Snowflake Data Connectors a more »
to take on responsibility on high-value projects with dynamic structures.Experience leading and developing ambitious, high-performing teams- preferably in a Consulting environment.Excellence in statistics and quantitative analysis (theoretical and practical knowledge, intuition, ability to understand models and apply them).Expert programming skills in one or more analytical languages such more »
on responsibility on high-value projects with dynamic structures. Experience leading and developing ambitious, high-performing teams- preferably in a Consulting environment. Excellence in statistics and quantitative analysis (theoretical and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oxford Economics
practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience Domain experience/demonstrable interest in economics-related fields Experience or familiarity with AI model evaluation techniques more »
models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. more »
targeting business problems Regularly interact and present to both technical and non stakeholders. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modelling, with clear commercial impact and value highlighted Excellent communication more »
problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Financial knowledge of Delta 1 and Equity Derivatives products; Understanding of statistics and financial mathematics. more »
industry trends and emerging technologies, offering recommendations for ongoing enhancement and innovation. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Demonstrated leadership experience (8-10+ years) within a data-focused organisation, preferably in a technology-driven setting. A track record more »
company initiatives. Ensure that data-driven insights are accessible and actionable across the organization.Requirements:Education: MS or PhD in Data Science, Computer Science, Mathematics, Statistics, Physics, or a related field.Technical Skills: Expertise in SQL, Python, and Spark. Strong experience in big data technologies, AI, ML, and data modeling. Familiarity with more »
and coaching others as well as delivery planning and managementCore analytics skills, data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression), and hands-on experience with BI tools (Looker, Tableau, etc..).Additional InformationApply without meeting all requirements statement If you don't more »
to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. What we're looking for; Undergraduate degree in mathematics/statistics or a similarly numerical subject. Undertaking actuarial exams, with the ambition to qualify as a Fellow of the Institute and Faculty of Actuaries. (IFoA) or more »
qualifications are highly desirable in our ideal candidate for this position:Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.Professional Experience: Extensive experience in data science, analytics, or engineering roles is required, with a significant portion in leadership positions. Prior experience more »
a client-facing role YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Consultancy or client-facing experience Experience across Data Strategy would be a large benefit but not required HOW TO APPLY Please register more »
and marketing teams (using internal systems, SFDC, Tableau, Excel) Requirements Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics) 4+ years experience in data analytics within a sales operations or finance team, or in management consulting with significant experience in sales analytics Experience analysing more »
data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative discipline Good to Have C++/Java development experience Experience in using quantitative methods for strategy parameter optimization Prior experience more »
AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »
