1 to 25 of 137 Remote Mathematics Jobs in London

optimise processes, identify business opportunities, and deliver actionable recommendations to clients. You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. Data more »

our ethos. To apply to this post, you will have: Relevant Industry experience with a Bachelor's or higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL more »

collaboratively with external teams (BPO) and internal teams. Advanced Microsoft Office skills. Certifications such as CFE or CAMS are strongly preferred. A degree in Mathematics, Statistics, Engineering, Computer Science, Finance or related fields is a distinct advantage. Compensation & Savings Pension scheme - 5% employee contribution and 3% employer contribution Death in more »

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 more »

these insights effectively to stakeholders at all levels of the organisation. Qualifications Graduate and/or postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics but not exclusively) or equivalent experience. Working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and more »

test results, partner updates, stay on top of the evolving app industry Experience and Qualifications: Master's or Bachelor's in Computer Science/Mathematics/Engineering/Statistics or related technical field, or equivalent related professional experience in applied analytical and statistics 8+ years of relevant experience in tech more »

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 more »

core analytical techniques and a proven track record in delivering data science projects Strong background in data engineering A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field Extensive experience in a data science role using tools such as SQL, Python, R, Power BI more »

techniques and a proven track record in delivering data science and analytics projects. Strong background in data engineering. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R more »

completed during studies. Initially being offered on a 12 month fixed term contract however, opportunities to turn permanent may be possible. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have a strong enthusiasm for problem solving, attention more »

Advanced degree (Master's/PhD preferred) in a quantitative, AI or computational field such as Data Analytics, Computer Science, Machine Learning/AI, Mathematics, Physics, or Statistics. Expertise in fine-tuning large language models , vector databases , LangChain , LangGraph, Autogen, and prompt engineering . Proficiency in Python and SQL, with more »

Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R). Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics). What we offer Our roles offer more than just a job; you'll become part of the William Hill more »

for 8+ years of work experience in a relevant business environment. Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret more »

and influence prioritization. Maintain internal/external relationships with the wider Marketing organization and Partners on strategic initiatives. Experience and Qualifications: Undergraduate degree in Mathematics, Science, Statistics, Analytics, Engineering, or any related technical field. Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data to understand trends more »

junior team members. 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 understating of data analytics. High p roficiency in SQL : comfortable accurately manipulating data at scale and speed. Experience with developing automated more »

continuously elevate the impact of our analytics solutions. Qualifications Who You Are: You hold academic qualifications or significant industry experience in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field. You've honed your skills as a Data Analyst in a tech-driven environment and are more »

AB testing is a plus You have knowledge and experience equivalent to a master's degree or PHD in a quantitative subject like economics, mathematics, statistics, data science, or another field with a strong emphasis on quantitative analysis You have strong analytical skills with commercial acumen, with the ability to more »

For: Experience in General Insurance pricing (motor, home, commercial) Strong technical skills (Python, R, SQL) Knowledge of statistical modelling and pricing techniques Degree in Mathematics, Actuarial Science, or related field A passion for data analysis and problem-solving Why Apply? Work with a leading insurance provider Flexible working arrangements and more »

For: Experience in General Insurance pricing (motor, home, commercial) Strong technical skills (Python, R, SQL) Knowledge of statistical modelling and pricing techniques Degree in Mathematics, Actuarial Science, or related field A passion for data analysis and problem-solving 🌟 Why Apply? Work with a leading insurance provider Flexible working arrangements and more »

Work alongside cross-functional teams, sharing knowledge and best practices Utilize technologies including Python, SQL, and Pyspark SKILLS AND EXPERIENCE Required Degree in Statistics, Mathematics, Physics, Economics, or a related field 2-5 years of experience in a data science role Proficiency in Python and SQL (Pyspark is a plus more »

teams (Product Control, Development Team, Front Office Quants). Minimum Requirements Education: Software Engineering or Master's degree in Quantitative Finance, a numerical subject (Maths, Physics) Skills and Experience: Strong knowledge and practical experience with C++ are required. Good knowledge of Python. Knowledge of C# is an advantage. Knowledge of more »

Development Team, Front Office Quants). Minimum requirements of the role Education: Software Engineering or Master's degree in Quantitative Finance, a numerical subject (Maths, Physics) Skills and experience: Strong knowledge and practical experience with C++ are required. Good knowledge of Python. Knowledge of C# is an advantage. Knowledge of more »

Hiring at a range of experience levels; 0-4 years of experience We are looking for: MSc/MSci in a highly quantitative field (Mathematics, Computer Science, Physics, etc) Strong knowledge of Python and appropriate Machine Learning libraries and frameworks Strong analytical and communication skills Experience using Machine Learning on more »

with cross-functional teams to understand data requirements and deliver solutions that meet business needs Requirements: Minimum BSc (1st/2.1) in Computer Science, Mathematics, or Statistics; Masters/PhD a plus Minimum of 5 years of work experience as a Data Engineer or similar role within a technology-driven more »

challenging and rewriting the rules, not just following them. What we expect from you: 2 to 3 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and passion more »