documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a related field. Master's degree preferred. • Proven experience as a Data Analyst, Data Scientist, or in a similar role with a focus more »
Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional workdeserves even more exceptional rewards, that's why more »
Contribute to the company’s knowledge base through publications, presentations, and participation in industry events. Experience required: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. 5+ years of experience in data science or a related field, preferably in the fintech industry. Proven track more »
London, England, United Kingdom Hybrid / WFH Options
Morgan McKinley
market. Undertake and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a more »
Cardiff, Caerphilly, Gwent, United Kingdom Hybrid / WFH Options
IntaPeople
with relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the more »
science, machine learning, and the energy sector to drive continuous innovation. Qualifications: Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. PhD is a plus. Experience: 3+ years of experience in data science, preferably within the energy or utilities sector. Technical more »
decision-making across the ICE exchanges organization Knowledge and Experience Strong quantitative and analytical background -- bachelor’s degree in finance, mathematics, engineering, physics, applied statistics, data science, or similar numerate discipline (master’s degree preferred) Extensive experience as a quantitative analyst or in data science/analytics with significant exposure more »
visualization tools like Tableau, Power BI - Skilled in analytics platforms like GA4, Adobe Analytics - Strong communication abilities - Collaborative mindset - Degree in STEM field like Statistics, Math, Computer Science - Passion for creating great digital experiences more »
Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a 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 »
and translate their ambitions and goals into analytical challenges. Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong coding skills with SQL, working with large and complex data sets to extract insights and identify trends Exposure to cloud more »
management skills, with the ability to convey technical concepts to both technical and non-technical audiences.Bachelors degree in a quantitative field like engineering, mathematics, statistics or operations research is a must. Masters in a relevant field will be an added advantage.Preferred Qualifications:Knowledge of PySpark, Hive & other big data tools more »
hiring candidates to work out of one of the following locations:London, GBRBasic qualifications• Bachelor or Master’s Degree or similar education in Mathematics, Statistics, Computer Science, Operations Research, Logistics, Supply Chain, Economics, Business Administration, or a similar related discipline• Work experience in business analytics with demonstrated proficiency in quantitative more »
strong business acumen are essential in this role. BASIC QUALIFICATIONS · Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering). · 7+ years of relevant experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience more »
description. Person Specification Qualifications Essential Relevant degree or equivalent qualification or significant experience of working at degree level in a quantitative subject (e.g. Maths, Statistics, Physics, Economics, Operational Research). Evidence of continued professional development Desirable Project Management Qualification Microsoft certification on PowerBI and Azure Management/leadership qualification or more »
Newcastle upon Tyne, England, United Kingdom Hybrid / WFH Options
Verisure
data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis more »
Manchester, England, United Kingdom Hybrid / WFH Options
SYSTRA
A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data Desirable more »
and translate their ambitions and goals into analytical challenges. Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Advanced coding skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills more »
and data warehousing to ensure the delivery of robust, scalable solutions. Your Profile: Bachelor's degree in a quantitative field (e.g., computer science, engineering, statistics) or equivalent experience. Experienced Management Consultant with a demonstrable track record of leading consulting teams and client engagement Extensive experience in advanced analytics and data more »
decision-makers in interpreting data findings. Skills and Experience: Educational Background: Degree or equivalent qualification/experience in a numerate subject such as maths, statistics, data science, or business intelligence. Technical Skills: Proficiency in SQL, DAX, and advanced Excel—experience with visualisation tools like Cognos, SSRS, Power BI, or Business more »
Reading, England, United Kingdom Hybrid / WFH Options
Aquent
By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such as more »
management. Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven more »
digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »
are a great bunch of folks to work with - though we would say that! What qualifications and experience are we after? Honours degree in Statistics, Mathematics, Physics or similar quantitative discipline where data analytics plays a key role- ideally a (2:1+) honours degree 4+ years of serious commercial experience more »
Regular Monitoring process A grasp of PBR/NTPS guidance especially around acute data provisions that relate to commissioning Public Health expertise Expertise in statistics Experience Essential Proven track record of leading analytical teams Experience in population health management analytics and its application to improve outcome and reduce health inequalities. more »
reports, KPI scorecards, and dashboards using Power BI for any new Products and services, Experience in building predictive models and machine-learning, Knowledge of statistics and experience using statistical packages for analyzing datasets, Experience in data mining, Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is more »