insights and reports, explaining the commercial impact and value of the technical work 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 NLP, regression, clustering Excellent communication skills with proven experience working with stakeholders more »
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 »
not have had the chance to do so before. Skills and experience required: Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science). An advanced user of SQL with the ability to code from scratch. Exposure to data more »
predictive analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
predictive analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related disciplineProficiency in R ShinySQL for data manipulation and analysis What's in it for you:Salary of up to £45,000 + 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 »
Work closely with technology teams to integrate risk models into our proprietary systems and platforms. Qualifications: Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. MExperience as a Quantitative Risk Developer or similar role in the asset management industry or financial services 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 »
the latest developments and techniques that could be applied to your work. The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you to wear more »
on the latest developments and techniques that could be applied to your work.The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you to wear more »
experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work 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 »
collaborative, innovative, peer-review culture within the teamRequirementsMinimum 4 years’ hands-on experience as a Data ScientistBSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks more »
of the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques, supervised, unsupervised 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 »
standards Collaborate, coach, and learn with a growing team of experienced Data Scientists Skills/Qualifications: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR MS or PhD in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Extensive knowledge more »
/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep LearningRequirementsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied Neural Networks (CNN & RNN), LLMsDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and 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 »
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 »
about industry developments, emerging technologies, and best practices in digital advertising analytics. Requirements: Bachelor's degree in a relevant field such as Business, Marketing, Statistics, Economics, or a related discipline. Proven experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such 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 »
metrics, reports, analyses, and dashboards that monitor and to drive key business decisions. Basic qualifications Bachelors degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience Experience in analytics, data engineering, market research or related field Experience managing and hiring a team of business intelligence more »
