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 »
with the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines. Preferred Qualifications: Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big more »
and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services more »
date with the latest industry trends, research papers, and technological advancements in quantitative trading. Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or a related field. Strong programming skills in languages such as Python, C++, or Java. Solid understanding of data structures, algorithms, and software design 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 »
how/if to apply them appropriately 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 progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building 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 »
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 »
processes. Work closely with cross-functional teams to understand business needs and provide data-driven insights and solutions. Requirements: Bachelor's degree in Finance, Mathematics, Computer Science, or related STEM Degree. Proficiency in PowerBI or Tableau for data visualization and reporting. Strong programming skills in Python or SQL for data 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 »
Adept at queries, report writing, and presenting findings Excellent communication skills with a natural problem-solving attitude. Exclusive consideration for elite applicants BS in Mathematics, Economics, Computer Science, Information Management, or Statistics The following would be a great advantage: Knowledge of statistics and experience using statistical packages for analyzing datasets 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 »
Technical skills: Professional level of tools such as Python, SQL, R and Excel. Academic degree in highly quantitative discipline or specialization such as Physics, Mathematics, Statistics, Engineering, Quantitative Economics, Computer Science. Previous experience in the Financial Crime Compliance field and good understanding of anti-money laundering/financial crime controls. more »
approaches. What we’re looking for: At least five years of relevant experience, particularly in development and maintenance of Python based systems Degree in mathematics or computer science related discipline Significant experience of coding in Python – understanding of advanced coding techniques (abstraction, design patterns, unit testing) and CI/CD more »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May 2024 We more »
City of London, London, United Kingdom Hybrid / WFH Options
E.ON Next
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● 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 »
London, England, United Kingdom Hybrid / WFH Options
E.ON Next
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● 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 »
Central London / West End, London, United Kingdom Hybrid / WFH Options
E.ON Next
or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● 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 »
management procedures Understanding of digital health innovations Qualifications Essential PhD or masters qualification with equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline). Undergraduate degree in relevant subject or equivalent qualification Other Essential Willingness to work 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 »
GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) 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 modeling, with clear commercial impact and value highlighted Excellent more »
the team. Experience: Cloud development and architecture experience A team player with excellent communication skills Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) Applied programming skills - Python, Rust, C++ or other major languages. Hybrid working model from their office in central London. Paying more »
Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. more »