in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results More ❯
and t he successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in computer science , Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity More ❯
decision-making. Required Qualifications, Capabilities, and Skills: 3+ years of post-graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex More ❯
documentation and compliance with regulations like GDPR. - Communicate complex data findings through clear reports and visualisations. What we're looking for Qualifications & Experience Degree in computer science, data science, statistics, mathematics, or a related quantitative field. (Masters or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud More ❯
Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/ More ❯
decision-making. Required Qualifications, Capabilities, And Skills 3+ years of post-graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex More ❯
data governance practices, ensuring data quality and acting as a key data stakeholder Document data sources, definitions, and methodologies Required Qualifications Technical Skills Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field Demonstrable experience in data analysis, business intelligence, or a related role Proficiency in SQL and querying from a variety of data sources (databases, data warehouses More ❯
Drive significant technology initiatives end-to-end and across multiple layers of data and analytics engineering What we are looking for: Essential Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and More ❯
implementation, serving as a trusted advisor on data-driven decision making WHAT WE ARE LOOKING FOR MSc degree in a highly analytical and quantitative discipline like Econometrics, Data Science, Statistics, Computer Science, Mathematics or Artificial Intelligence Experience in advanced analytics, data science and/or ML engineering roles A strong foundation in traditional statistical methods (e.g. regression, time series, probabilistic More ❯
support data literacy across the firm. About You Educational Background & Professional Experience: Bachelor's or master's degree in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics, or Engineering. 4+ years of experience in a data science. Experience working in environments with sensitive data or professional services is a plus but not essential. Ability to break down More ❯
solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications include: Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Mathematics) or equivalent combination of education and relevant work experience. Master's degree preferred. Why QBE? At My Best At QBE, we want our people to feel rewarded and inspired More ❯
pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a travelers propensity to book Time series forecasting As a More ❯
platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is a plus Home-based Excellent benefits £(Apply online only) Salary Please send a copy of your CV if you meet the requirements and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is a plus Home-based Excellent benefits £50000 - 55000 Salary Please send a copy of your CV if you meet the requirements and are More ❯
decision-making. Required Qualifications, Capabilities, and Skills: 3+ years of post-graduate professional experience. Strong academic degree (MSc or PhD, or equivalent) in a quantitative field (i.e., Mathematics, Physics, Statistics, Economics, Computer Science, etc.). Demonstrated experience applying AI/ML techniques, preferably in the financial industry. Advanced Python programming skills, including code architecture. Ability to manipulate and analyze complex More ❯
starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who has: 🎓 A degree in Data Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud More ❯
starting salary with clear progression pathways and performance-based bonuses. We’re looking for someone who has: 🎓 A degree in Data Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud More ❯
agile and collaborative project delivery Familiarity with data visualisation tools (e.g. Tableau) Exposure to model monitoring and MLOps practices MSc or equivalent in a quantitative discipline (e.g. Data Science, Statistics, Computer Science) *Rates depend on experience and client requirements More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
goals. Visualise data insights: Build and 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 learning: Familiarity with predictive More ❯
goals. Visualise data insights: Build and 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 learning: Familiarity with predictive More ❯
Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the More ❯
of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with More ❯
analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're More ❯
with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements: A master's degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an More ❯
monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in Data Science, Computer Science, or a related field. D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in More ❯