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 »
London, England, United Kingdom Hybrid / WFH Options
Kody
up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and visualisation 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 »
Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency more »
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
LV= General Insurance
Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency more »
Bournemouth, Dorset, South West, United Kingdom Hybrid / WFH Options
LV= General Insurance
Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency 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 »
driven decision-making Key Responsibilities: · DATA COLLECTION AND PROCESSING Data Analysis Data Validation Collaboration Continuous Improvement Skills & Attributes: · BACKGROUND IN A RELEVANT FIELD (E.G., STATISTICS, MATHEMATICS, COMPUTER SCIENCE) · PROVEN EXPERIENCE AS AN IT DATA ANALYST OR A SIMILAR ROLE · STRONG PROFICIENCY IN DATA MANIPULATION AND ANALYSIS TOOLS (E.G., SAS, SQL more »
responsibilities, as assigned. To Succeed in this role: Bachelor’s or equivalent; preferred Bachelor of Science degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Economics, Engineering, Operations Research) or the equivalent in related work experience. You are proficient in Python coding as this is a must-have requirement in 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 »
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 »
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 »
to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail more »
