capabilities. You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management capabilities, and More ❯
and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a More ❯
Natural Language Processing or Information Retrieval problems. A Ph.D. in NLP, IR, ML, or a relevant field or an MSc in CS, ML, Math, Statistics, Engineering with prior industry experience. We are happy to consider candidates with a Ph.D and industry experience through internships. Experience with deep learning frameworks such More ❯
and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a More ❯
Qualifications: Good standard of higher education or relevant professional qualification (e.g., NVQ, CII).Strong analytical/mathematics skills, ideally with a degree in Actuarial, Statistics, Mathematics, Data Science or Computer Science). Any Chartered Insurance Institute qualification is a plus. Experience working in dynamic or growing teams would be advantageous. More ❯
paced environment, delivering on multiple projects with tight deadlines, especially during key reporting periods. Bonus Points for: Educational background in Business Analytics, Engineering, Maths, Statistics, or similar quantitative discipline preferred. Direct experience working within a cloud based FP&A tool along with working with Hubspot and Xero. Understanding of databases More ❯
with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar querying languages. More ❯
rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models More ❯
compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯
compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯
engineering 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 More ❯
engineering 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 More ❯
comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and advanced analytics. More ❯
forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience with Private Equity or Strategy Consultancy Strong communication skills, with the ability to work More ❯
forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience with Private Equity or Strategy Consultancy Strong communication skills, with the ability to work More ❯
understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate complex models into actionable business insights. More ❯
working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst). 3 years experience in data analytics or business intelligence, preferably within a finance function. More ❯
london, south east england, United Kingdom Hybrid / WFH Options
ECM Talent
understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate complex models into actionable business insights. More ❯
academic performance alone. You will, however, need to be working towards an honours degree in a technology related discipline such as Computer Science, Maths, Statistics, Engineering, Data Science, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if More ❯
analytics. Strong attention to detail and ability to retain information. Adept using analytical programming languages such as R, Python, C++, etc. BSc in mathematics, statistics, computer science, engineering or other quantitative discipline. Strong communication and collaboration skills. Positive 'can do' attitude, and ability to meet deadlines. Willingness to learn and More ❯
environment. Strong analytical mindset - a background in data science, AI, or machine learning is essential. Degree educated in a STEM discipline such as Mathematics, Statistics, Computer science etc. Excellent problem-solving skills - with a strategic approach to product development. Outstanding communication and leadership - the ability to influence stakeholders and drive More ❯
Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and More ❯
firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong More ❯
firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong More ❯
great team spirit, supporting team and colleagues on tasks big and small. 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 More ❯
