Maths Teaching Assistant | Newham | September 2024 Are you a proficient Maths Graduate seeking to assist students in achieving excellence in mathematics? Join our team in Newham, where you'll play a pivotal role in supporting students across KS3, KS4, and KS5 as a committed Maths Teaching Assistant. Maths Teaching Assistant … with students aspiring for higher education One-year contract, September to July, term time only, £475-£550 per week (including Holiday Entitlement) As a Maths Teaching Assistant, you will provide support to talented and disciplined students studying KS3, KS4, KS5, or GCSE Maths. Under the guidance of an established Maths … department led by an inspirational Head of Maths, you will play a pivotal role in fostering enthusiasm for Mathematics and delivering engaging lessons aligned with the UK curriculum for 11-16-year-olds. We are looking for a Maths Graduate with a strong understanding of the subject and the ability more »
literacy and data-driven decision-making across the ICE exchanges organization Knowledge and Experience Strong quantitative and analytical background -- bachelor’s degree in finance, mathematics, engineering, physics, applied statistics, data science, or similar numerate discipline (master’s degree preferred) Extensive experience as a quantitative analyst or in data science/ more »
work autonomously and take responsibility for insights initiatives. Degree in a STEM subject at a 2:1 or above level, preferably in computer science, mathematics, or statistics. Desirable: Agile ways of working, including task management (e.g., Azure DevOps, Jira). Experience with cloud technologies, especially Microsoft Azure. SQL stored procedures more »
stakeholders to understand their data requirements. Ensure data accuracy and integrity in all analytics activities. Candidate Requirements: A Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related field. Master’s degree preferred. Minimum of 1 year of relevant industry experience, preferably in a financial setting. Strong technical 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 »
culture within the team Requirements Minimum 4 years’ hands-on experience as a Data Scientist BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »
party solutions for functionality, quality and applicability to client use cases. Requirements: 6+ Years of experience in an engineering role with a degree in Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter more »
London, England, United Kingdom Hybrid / WFH Options
Gorilla - Energy data applications
Requirements European energy & utility market knowledge and expertise, preferably experience in a retail energy setting. Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Economics, or a related field. Experience in data analysis, statistical modeling, and forecasting experience is considered an asset European energy & utility market knowledge and expertise more »
vision of the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques, supervised more »
English. Additional languages are nice to have. Qualifications Minimum Bachelor’s Degree (2:1) or international equivalent in a relevant subject: Data Science, Economics, Mathematics, Computer Science, Engineering or Business preferred. Previous Experience in a Data/Datascience team from a consulting company is mandatory Additional Information You can expect more »
Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and more »
team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering more »
team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering more »
visualisation insights and reports, explaining the commercial impact and value of the technical work Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in NLP, regression, clustering Excellent communication skills with proven experience working with more »
strategy targeting business problems Regularly interact and present to both technical and non stakeholders. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modelling, with clear commercial impact and value highlighted Excellent more »
abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading. Qualifications: Bachelor's degree or higher in quantitative finance, mathematics, computer science, physics, or a related field. Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object more »
in technology. Communicate regularly with internal and external stakeholder presenting clear and insightful findings. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience more »
guidelines. Work closely with technology teams to integrate risk models into our proprietary systems and platforms. Qualifications: Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. MExperience as a Quantitative Risk Developer or similar role in the asset management industry or financial more »
significant impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. more »
innovative, peer-review culture within the teamRequirementsMinimum 4 years’ hands-on experience as a Data ScientistBSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine LearningDeep expertise in Python (production-level) and SQLProficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for more »
proactively suggest improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and more »
work alongside world class engineers, and data scientists. Act as subject matter expert for our digital advertising. What We Are Looking For Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field. Min 4 years of experience as a Data Scientist in the more »
Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep LearningRequirementsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied Neural Networks (CNN & RNN), LLMsDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithmsFluency more »
visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to more »
visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to more »