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 »
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 »
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 »
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 »
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 »
london, south east england, United Kingdom Hybrid / WFH Options
Salt
onsite and offsite campaigns across their growing media network. 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). Previous analytical experience showing application of insight which address business questions. An advanced user of 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 »
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 »
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 »
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 »
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 »
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 »
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 »
london (city of london), south east england, United Kingdom Hybrid / WFH Options
Sphere Digital Recruitment | Best Small Company 2022
platforms, reporting and data warehouses to ensure data is fit for purpose and optimied About you: Degree in related degree i.e. data science, mathematics, statistics, engineering etc 5 years experience working data-driven organisations Expertise in data modelling and forecasting techniques Skilled in data tools and technologies such as SQL 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 »
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 »
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 »
