151 to 175 of 337 Permanent Statistics Jobs in England

Qualifications: Experience in systematic equities trading, preferably statistical arbitrage strategies. Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. A track record of successful alpha generation with a shape>2. Strong coding skills in languages such as Python, C++ more »

performance. Investigate and implement new trading products and strategies. Qualifications: Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Strong experience in quantitative trading with a focus on options. Proven track record of designing, implementing, and optimizing algorithmic trading more »

driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ NEXT STEPS: If more »

required for the role of Connected Car Analyst include : * Ideally Degree qualified or equivalent in a relevant engineering discipline * Proficient in MySQL, Tableau and Statistics * Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps * Knowledge of Data visualisation tools * Competent with PC applications including Microsoft Office more »

required for the role of Connected Car Analyst include : • Ideally Degree qualified or equivalent in a relevant engineering discipline • Proficient in MySQL, Tableau and Statistics • Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps • Knowledge of Data visualisation tools • Competent with PC applications including Microsoft Office more »

required for the role of Connected Car Analyst include : * Ideally Degree qualified or equivalent in a relevant engineering discipline * Proficient in MySQL, Tableau and Statistics * Experience of Power tools ie Power Query, Power Pivot, Power Automation, Power apps * Knowledge of Data visualisation tools * Competent with PC applications including Microsoft Office more »

and quantitative data. YOUR SKILLS AND EXPERIENCE: The Insight Manager will have the following skills and experience: Bachelor's degree in Marketing, Business, or Statistics; Master's degree preferred. Proven experience in market research-focused roles with strong analytical and communication skills, client or agency-side. Excellent experience in quantitative more »

methodologies and processes. Come from a statistical/mathematical background and hold a Bachelor's degree or higher in a relevant field (e.g., Mathematics, Statistics, Computer Science). It would be great if you also: Previously worked in an actuarial team specifically engineering data solutions for pricing Have previously implementing more »

. Familiarity with low-latency trading systems, high-performance computing, and algorithmic trading strategies. Strong academic background in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering subject from a leading university. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth more »

reporting ensuring accuracy and timeliness. Qualification and Experience requirements Degree in any recognized Degree in Finance, Accounting, Economics and other Quantitative discipline such as statistics, actuarial science etc. A master’s degree or Professional Certificate (e.g. CFA, FRM) would be an advantage. 5+ years working experience in the oil & gas more »

emerging machine learning methodologies. Educate the organization on Generative AI from both IT and business perspectives. Qualifications: A higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics or related quantitative field. Hands-on experience with LLMs fine-tuning and/or training. Hands-on more »

Provide training and support to colleagues on data processes and tools Qualifications/Skills Required A background or aptitude in mathematics and/or statistics Proven experience with intermediate Excel skills, including pivot tables, IF statements and VLOOKUP Desirable VBA knowledge Experience in data manipulation, statistical analysis, and process creation more »

for assistance from users of the e-learning software within client companies identify problems, bugs, database or user errors provide data analyses, reports and statistics to co ordinators of the e-learning programmes within large prestigious organisations worldwide liaise with colleagues in sales, customer success, development to provide excellent customer more »

Series C. You thrive in a data leadership role that is equal parts strategic and hands-on. You have deep knowledge of machine learning, statistics and optimisation, with plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation more »

Policies working with Finance, Legal, HR, Sales Operations and Sales and Client Services Management. QUALIFICATIONS BA/BS in quantitative major (finance, business, mathematics, statistics) preferred 7-10 years' experience in sales incentive compensation design and development Possess strong analytical chops, a problem-solving mindset, and exceptional project management skills. more »

Sales Compensation Operations to identify areas for improvement regarding participant, payment, and policy management. QUALIFICATIONS BA/BS in quantitative major (finance, business, mathematics, statistics) preferred. 5-7+ years of sales compensation experience required. Skilled and enthusiastic about leading a high performing team - supporting your team's growth is more »

Experience in budget management. Familiarity with at least some of the following: workflow managers, data warehousing technology, high- performance computing platforms, data visualisation, curation, statistics, and data mining. A track record in leading scientific projects. Experience designing databases, developing websites and/or working with big data. Participation in multi more »

Experience/knowledge of FRTB, IRRBB and Risk Models such as Value-at-Risk (VaR) and Stress methodologies.. • Strong mathematical background covering stochastic calculus, statistics, matrix algebra, optimisation methods and interpolation techniques. • Object-oriented programming skills. Preferably Python and or C#, although skills in other languages such as C++, Java more »

such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning more »

such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning more »

updating of the siteand divisional workforce dashboards. Develop statistical reports from existing data sets for use in planning and report writing Use data/statistics/intelligence from multiple sources to determine a course of action orintervention. To produce business plans, and service development within resourcing and deployment,where appropriate more »

Head of Modelling Hybrid £100K The world of statistical modelling plays a huge part in the development of life saving treatments. This is an opportunity to work along side some of the world's largest drug development companies as the more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience as a Data Scientist or Senior Data Scientist A background working in financial services Experience with Python … Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and more »

Stay updated on industry developments and best practices in data analysis, suggesting improvements as necessary Requirements: Hold a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field Demonstrate solid experience as a Data Analyst or in a similar capacity Possess a profound comprehension of database structures, data … commentary to guide decision-makers in acting on discoveries Skills and Experience Needed: Bachelor's degree or equivalent in a quantitative field (e.g., mathematics, statistics, data science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. more »