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 ❯
and social media messaging. Create proof of concepts, product demos, respond to RFIs/RFPs, and prepare sales proposals. What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. More ❯
of industry trends in AI, machine learning, and fintech to drive innovation. Who you are: You have an advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Statistics, or a related field. You possess 3-5 years of experience in a data science role, preferably related to credit risk or finance. You're proficient in SQL and Python. More ❯
Excellent communication and interpersonal skills. Ability to translate technical findings into clear and actionable recommendations. Not necessary but would be desirable to have: Master's degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google More ❯
our Product teams. Identify, prioritize, and drive operational improvements. What We're Looking For Relevant Bachelor's or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯
and Data Science community to drive innovat ions based on your work Essential q ualifications: Bachelor's or master's degree in D ata S cience , Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L More ❯
teams. Stay current with industry trends, especially in travel, hospitality, or marketplace dynamics. Experience and Qualifications: Bachelor's or Master's in a technical or quantitative field (e.g., Engineering, Statistics, Business Analytics, Mathematics, Computer Science, or similar). Strong SQL skills are essential - you should be comfortable writing complex queries and working with large-scale data. Familiar with Tableau (or More ❯
statistical/machine learning tools - Experience demonstrating problem solving and root cause analysis - Experience using databases with a large-scale data set - Bachelor's degree in engineering, analytics, mathematics, statistics or a related technical or quantitative field - Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources More ❯
of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field Profile and Skills Comfortable in fast-paced, entrepreneurial environment Strong communication and teamwork abilities. Ability to deliver individually and as well as a part More ❯
Employ agile development practices to develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree in Computer Science, Mathematics, Applied Mathematics, Statistics/Data Science, or related Quantitative experience. Significant working experience in process automation, data analysis, and/or ETL development with a focus on banking and financial services. Domain Knowledge More ❯
documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation … Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with More ❯
documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation … Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with More ❯
of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression, clustering or tree-based ensembles, and the ability to implement them through libraries. More ❯
development, deployment, and management. Global AWS Support BizOPs team is looking for a passionate Data Scientist to model contact forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and … modeling projects, identify data requirements, build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. The candidate is customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An More ❯
of products and categories, optimising across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3- 5years of experience required Experience with machine learning techniques such asregularised regression, clustering or tree-based ensembles, and the ability to More ❯
or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning More ❯
or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning More ❯
to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯
to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯
generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning algorithms as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem More ❯
London, England, United Kingdom Hybrid / WFH Options
Cloud Decisions
Microsoft Azure (preferred), AWS, or Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? Flexible remote working, must be UK based. Work on cutting-edge AI projects with top-tier clients Professional development More ❯
C/C++, Python, Java, or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency in programming. Core competency in More ❯
tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience Stock options in a high-growth startup Private Health insurance Pension Apply for this job indicates a required field First Name Last Name More ❯
a quantitative field (e.g., CS, Math, ML, Stats, Operations Research). Proficiency in Python, R, or similar scripting languages; experience with SQL, MySQL, and databases. Expertise in machine learning, statistics, and optimization, including linear programming. Experience with statistical measures such as hypothesis testing, confidence intervals, and error analysis. Excellent communication skills for technical and non-technical audiences. Preferred additional skills More ❯
City of London, England, United Kingdom Hybrid / WFH Options
Quest Search and Selection
start-ups or scale-ups preferred). Experience designing and interpreting experiments (e.g., A/B testing) and causal inference analysis. Degree in a quantitative field such as Mathematics, Statistics, Computer Science, Data Science, or Engineering. Benefits: Comprehensive medical and dental insurance. Equity participation through company shares/RSUs. Annual bonus tied to performance. Hybrid work model (3 days in More ❯