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 »
of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a related field. Master's degree preferred. • Proven experience as a Data Analyst, Data Scientist, or in a similar role with a focus on 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 »
data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in more »
analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming more »
Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with 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 »
join us. Person Specification Qualifications Essential Educated to degree level or equivalent (or equivalent work experience) Desirable Degree in a relevant subject such as mathematics or statistics. Training Desirable Any relevant further training/personal development in computer languages/tools, statistics, consultancy skills Experience Essential Experience of contributing to 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 »
Manchester, England, United Kingdom Hybrid / WFH Options
SYSTRA
knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data more »
scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification techniques more »
are desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills more »
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Indotronix Avani UK Ltd
team building, motivational skills, innovation, delegation, collaboration, emotional intelligence. Key Qualifications: A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. more »
and responsibilities, as assigned. To Succeed in this role: Bachelor’s or equivalent; preferred Bachelor of Science degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Economics, Engineering, Operations Research) or the equivalent in related work experience. You are proficient in Python coding as this is a must-have requirement more »
external technology communities. Communicate technical subject matter clearly and concisely to audiences of various backgrounds. Basic Qualifications BSc degree in a STEM-related discipline (Mathematics or Engineering, Data Science/ML, Statistics, Computer Science, Physics) with extensive experience in data science/related, utilising software engineering best practices/technologies more »
Proficiency in using Microsoft Azure cloud services for Machine Learning and data science tasks. A degree in a relevant field, such as Data Science, Mathematics or Computer Science (with Machine Learning modules). We’re always interested in hearing if you’ve worked on a masters project! Strong understanding of 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 »
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 »
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 »
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 »
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 »
really get under the skin of customers. Skills & experience required: Educated to degree level in a numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Statistical analytics background employing a wide variety of techniques to solve problems and answer questions around customers, as well as overall more »
by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. • Use a flexible, analytical approach to more »
