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 »
Greater London, England, United Kingdom Hybrid / WFH Options
CommuniTech Recruitment Group
great heights. We encourage you to apply! Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of software engineering experience and building cloud-native architectures Strong knowledge in programming language(s) – including more »
and initiatives. Ensure data quality and integrity throughout. Experience and Qualifications: Bachelor’s degree with a quantitative component (e.g. Data Science, Statistics, Computer Science, Mathematics, Economics, Physics etc.), or equivalent experience. Proficiency in data analysis tools and languages (e.g. Python, R, SQL). Experience producing meaningful, informative data visualisations Strong more »
expertise in exploring data and developing machine learning solutions. Education: MSc or higher in physics, computer science, data science, engineering, theoretical chemistry or biology, mathematics, computational science, or a related field. Technical proficiency: Confidence writing code ( Python, Git ) and willingness to learn supporting technologies (e.g. Docker, AWS ). Core competencies 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 »
and build solutions that are re-usable and scalable. What we expect from you 5 to 7 years of experience required. Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and passion 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 »
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 analyzing large volumes of data. Good understanding of data fusion, enrichment, and synthetic methodologies. Excellent analytical skills 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 analyzing large volumes of data. Good understanding of data fusion, enrichment, and synthetic methodologies. Excellent analytical skills more »
pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability. Education Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience. What you’ll get in return: High-impact projects : We work on a variety of pioneering AI more »
through compelling data visualizations, detailed reports, and presentations. Qualifications: Advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or Computer Science with outstanding analytical expertise. 10+ years of experience in data science, analytics, or related fields, with at least 4 years focused more »
time-series analysis. Personal Attributes: Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content, e.g. Computer Science, Mathematics, Engineering or Physics from a leading university. Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders more »
mathematical knowledge e.g. statistics, time-series analysis Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Intellectually robust with a keenly analytic approach to problem solving Self-organised and focused on delivering value to the business with relentless 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 »
data insights and model performance. Maintain detailed technical documentation for models, algorithms, and analytical workflows. Requirements: A degree in Data Science, Computer Science, Statistics, Mathematics , or a related field. Minimum 3+ years of experience as a Data Scientist or in a similar analytical role. Excellent command of the English Language more »
be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. 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 »
be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed more »
high-quality standards within the data science team. Key Requirements: Experience & Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 2+ years of professional experience in Data Science or equivalent academic experience demonstrating relevant skills, preferably with some exposure to the more »
non-technical stakeholders, and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. more »
and manage the development of cross-functional Data Science Products. You'll have M.Sc./PhD in Exact Science (Physics/Computer Sciences/Mathematics or equivalent) alongside amazing people management experience and Python and SQL programming capabilities. This is an exciting time to join evoke, as we undergo our more »
prioritize, and drive operational improvements. Who you are Relevant Bachelor's or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret more »
to operationalize research Foster organizational growth with mentoring and support your colleagues’ professional development Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative more »
Basic Qualifications Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution. Professional Experience: Minimum of six months of industry or internship experience in a data science or machine learning engineering role, demonstrating strong more »
Qualifications: Useful skills to possess: - Commercial data science experience - Machine learning - SQL - MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering - Creating customer segmentation models - Knowledge of SAS - Data Mining - R/Python - Proficient user of MS Office This is a superb more »
