Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning more »
engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »
with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, A strong background in CRM and marketing analytics is essential, including modelling skills, to optimise customer journeys and improve customer retention and loyalty Ability to more »
with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, A strong background in CRM and marketing analytics is essential, including modelling skills, to optimise customer journeys and improve customer retention and loyalty Ability to more »
build meaningful stakeholder relationships with cross-functional colleagues A flair for data visualisation and storytelling Proven understanding of approaches to measurement, data analysis, and statistics Use one or more analytics tool (e.g. Looker, Tableau) Benefits Generous stock option plan Learning budget Ownership of goals and a direct impact on the more »
a Data Scientist, based in London! 12 months contract Key Qualifications: • Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline. • 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting. • Programming skills in more »
clinical data analysis to ensure the organization remains competitive and efficient. Person Specification Qualifications Essential Qualifications: - Bachelor's degree in Healthcare Administration, Health Informatics, Statistics, or a related field - Proven experience in clinical data analysis, preferably in a healthcare or medical setting. - Proficiency in data analysis tools and software, such more »
review culture within the team Requirements Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »
City of London, London, United Kingdom Hybrid / WFH Options
Hanson Lee Resourcing Ltd
be comfortable delivering technical presentations Play a key role in a small team, leveraging your academic qualifications which will include - undergraduate degree in Mathematics, Statistics, Data Analytics, Insurance Risk Management or similar - CII certification - Python, SQL, R, Tableau, or similar visualisation tools Apply your understanding of, or experience working across 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 »
studying for CCAB professional qualification - or equivalent experience in a costing or data analyst role. Desirable Level 4 or higher qualification in Data Analysis, statistics or Business Intelligence Professional/Statutory Registration Essential Hold a post-graduate accountancy qualification (CCAB) or equivalent experience and able to demonstrate continuing professional development 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 »
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 »
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 »
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 »
data analysis, and reporting. Is confident, professional, and calm under pressure, and an analytical thinker with strong investigative skills. - Education – BSc in Mathematics, Economics, Statistics, or a similar field. - Data Competency — Has experience in using Microsoft Excel and Power BI Must have. Proficient in capturing, transforming, and managing large data 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 »
the organization To do this, you will need: Master’s degree or doctorate in an appropriate field, such as data science, computer science, applied statistics, mathematics, or equivalent Experience applying machine learning models in an appropriate biological domain or equivalent data context, such as on imaging or chemical structure data 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 »
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 »
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 »
