e.g. statistics, asset pricing theory, optimisation algorithms. Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Intellectually more »
objectives. Qualifications Experience working in a consultancy or client-facing environment is highly desirable. Bachelor’s or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 5+ years of experience in data analytics, data science, or a related field, with at least 2 years in more »
optimise processes, identify business opportunities, and deliver actionable recommendations to clients. You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data more »
to a team that is pushing the boundaries of sports betting analytics. Education: PhD, Masters, or Bachelor’s degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering). Programming Skills: Proficiency in C# and Python is essential. Modelling Expertise: Strong knowledge of statistical and machine learning modelling more »
written and verbal communication skills Nice to have Experience with data analysis in the financial crime domain (fraud, AML, etc.) Bachelor's degree in mathematics, statistics, or relevant experience in a related field Additional Information The Perks We trust you, so we offer flexible working hours, as long it suits more »
Watford, Hertfordshire, United Kingdom Hybrid / WFH Options
Digital Gaming Corp
duties in order to achieve business objectives. Essential skills you'll bring to the table Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; Master's degree preferred. Data Engineering Skill: Experience in designing and implementing data pipelines, architectures, and workflows to support large more »
current with industry trends, tools, and best practices to continuously improve the team's capabilities. QUALIFICATIONS Education: Bachelor’s degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models more »
of best practices in wholesale credit risk modeling within the consultancy. Required Qualifications and Skills: Education: Master’s or Ph.D. in Quantitative Finance, Economics, Mathematics, Statistics, Engineering, or a related quantitative field. Experience: 5+ years of experience in quantitative risk modeling, with a focus on wholesale credit risk and IRB more »
our ethos. To apply to this post, you will have: Relevant Industry experience with a Bachelor's or higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL more »
Managers, Software Developers, Computer Vision Experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analytics, Risk Managers & more. BASIC QUALIFICATIONS Bachelor's degree in mathematics, engineering, statistics, computer science or a related field 2+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience 1+ years of more »
data governance and privacy policies to ensure compliance with relevant regulations and industry best practices WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field. Experience analysing large volumes of data Good understanding of data fusion, enrichment and synthetic methodologies Excellent analytical skills more »
collaboratively with external teams (BPO) and internal teams. Advanced Microsoft Office skills. Certifications such as CFE or CAMS are strongly preferred. A degree in Mathematics, Statistics, Engineering, Computer Science, Finance or related fields is a distinct advantage. Compensation & Savings Pension scheme - 5% employee contribution and 3% employer contribution Death in more »
thinking of solutions to improve processes. Essential Skills/Preferred Qualifications: Bachelor's degree in an analytical/statistical discipline required (e.g., Statistics, Economics, Mathematics, Finance, Operations Research, or related quantitative field). At least some years of working within a data and analytics function/team and an understanding more »
business 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 more »
maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements: Bachelor’s degree in a STEM field : Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages : Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine more »
these insights effectively to stakeholders at all levels of the organisation. Qualifications Graduate and/or postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics but not exclusively) or equivalent experience. Working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and more »
data science field. What we're after Graduate/Post Graduate degree (e.g., Master's or Ph.D.) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering, or equivalent experience. Results-oriented with strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical more »
to travel to participate in meetings, workshops, and other related activities. People Specification Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Business, Economics, Engineering, or a related field. Excellent communication skills, with the ability to present complex data insights to both technical and non-technical stakeholders. more »
models, processing pipelines, and back-end services supporting the data science teams, automating processes, building integrations, and analytics. Desired skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 5+ years of relevant experience in Data Engineering, warehousing, ETL, automation, cloud technologies, or Software Engineering in data related more »
insights to stakeholders. Experience in cross-functional teams and dynamic, fast-paced environments. Bachelor's degree in a scientific or technical field (e.g., Statistics, Mathematics, Computer Science, Engineering) or equivalent commercial experience. What you'll get in return Competitive base salary Up to 20% bonus 25 days annual leave plus more »
Work with 3 rd party providers of AI products to evaluate and implement solutions achieving Investcloud's business objectives. Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data more »
the long-term goals Possess excellent communication skills and able to confidently present data findings and ideas to both technical and non-technical audiences Mathematics, statistics, computer science, quantitative finance or data science degree more »
stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking more »
test results, partner updates, stay on top of the evolving app industry Experience and Qualifications: Master's or Bachelor's in Computer Science/Mathematics/Engineering/Statistics or related technical field, or equivalent related professional experience in applied analytical and statistics 8+ years of relevant experience in tech more »
procurement decisions. Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities. BASIC QUALIFICATIONS - Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field. - 6+ years' hands-on analytics work experience, with proven quantitative orientation. - 3+ years' experience using business intelligence tools like more »
