impact of visualizations. What You Need To Succeed (Minimum Qualifications): Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics). Minimum of 3 years of experience in data analysis or a related field. Strong proficiency in SQL for data querying, data More ❯
annual incentive plan. What We're Looking For: Basic Qualifications Bachelor's or post-graduate degree in Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field and; 3+ years work experience in relevant field; Knowledge of capital markets (preferably Structured Finance), financial instruments with an emphasis More ❯
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. The Perks We trust you, so we offer flexible working hours, as long it suits both you More ❯
distributed computing frameworks. Strong understanding of data preprocessing, feature engineering, and data pipeline development. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. A Ph.D. is a plus. Preferred Skills: Experience with cloud platforms like AWS, Google Cloud, or Azure for More ❯
members and provide guidance on quantitative research techniques and best practices. Requirements: Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Engineering. 3-8 years of experience in quantitative research or algorithmic trading within the financial industry. Strong knowledge of liquid 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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications Education: Bachelors 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 ❯
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 ❯
learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for data More ❯
london, south east england, united kingdom Hybrid / WFH Options
Careerwise
learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for data More ❯
Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications Education: Bachelors 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 ❯
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 ❯
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 ❯
code management. Preferred Qualifications: AWS Certified Machine Learning – Specialty, Google Professional Data Engineer, or other relevant certifications. Master's or Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or related field. Experience in deep learning frameworks like TensorFlow, Keras, or PyTorch for developing complex neural networks. Experience working with NLP techniques More ❯
d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and working with large, messy, complex data More ❯
d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and working with large, messy, complex data More ❯
to finish including problem solving, data gathering and manipulation and project management BASIC QUALIFICATIONS - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience using SQL to pull data from More ❯
code management. Preferred Qualifications: AWS Certified Machine Learning – Specialty, Google Professional Data Engineer, or other relevant certifications. Master's or Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or related field. Experience in deep learning frameworks like TensorFlow, Keras, or PyTorch for developing complex neural networks. Experience working with NLP techniques More ❯
business challenges. 🌍 Mentorship: Support the development of junior team members, fostering a collaborative learning environment. Skills & Experience Required A degree in a STEM field (Mathematics, Computer Science, Statistics, Engineering, or related), with 2-3 years of experience in data science or machine learning. Proficiency in Python (preferred) or R, with More ❯
