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 »
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 »
record of delivering data products in environments with strict adherence to security and model governance standards.• Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master’s degree in one of these disciplines preferred.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information, and more »
growth and innovation. The ideal candidate will have excellent analytical and problem-solving skills, strong programming and scripting abilities, and a deep understanding of statistics and machine learning algorithms. Key Responsibilities: Data Storytelling: Dive deep into vast oceans of data to uncover trends, patterns, and insights. Your ability to tell more »
with the latest advancements in data science, EV technology, and climate solutions. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience working with geospatial data and GIS tools. Strong programming skills in languages such as Python, R, or Julia. Proficiency in more »
year Location: 4 days per week in Central London Type: full-time, permanent Required experience & qualifications: Master’s degree in Data Science, Computer Science, Statistics or a related field Proven experience as a Data Scientist or similar role Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. more »
in writing SQL queries is an advantage. Statical analysis: good understanding of core statistical concepts and techniques such as probability theory, descriptive vs inferential statistics, and basic regression methods. Data visualisation: ability to create informative and visually appealing charts and dashboards with experience using data visualization tools such as Tableau more »
reports and analyses. Stay up-to-date with industry trends and best practices in BI and analytics. Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven experience as a BI Analyst or similar role Proficiency in SQL for data manipulation and analysis. Experience with Power more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 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 »
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 »
branching and pull requests. Proven track record of translating complex technical findings into actionable business insights. Degree or equivalent in a relevant field, e.g., Statistics, Mathematics. Bonus points for: Experience in the energy retail sector. Proficiency with Databricks. Senior Data Analyst/Data Modelling/SQL/Tableau/Python more »
pragmatic approaches to implementations. Strong command of English language (both verbal and written) Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus more »
with Python, R, SAS, Stata, SPSS, or similar would be a big plus.Logical analytical problem solver with great attention to detail Any exposure to statistics and data science techniques/methodologies preferredStrong Excel/Google Sheets experienceCommercial experience, having worked with Sales, Retention, Account Management is a bonusAbility to multi more »
world class engineers, and data scientists. Act as subject matter expert for our digital advertising. What We Are Looking For Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field. Min 4 years of experience as a Data Scientist in the ad-tech more »
City of London, 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 »
London, England, 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 »
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 »
Collaborate with other team members to ensure the successful implementation of optimized trading strategies. Required Skills and Qualifications: Degree in Computer Science, Data Science, Statistics, Financial Engineering, or a related field. Strong experience in analysing large datasets and using statistical techniques to derive insights. Proficiency in Python and Java programming 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 »
