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 »
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Unipart Logistics
Contractor Management, Incident Reporting, and CAFM systems Ensure data integrity and security in collaboration with IT departments Generate and analyse monthly health and safety statistics for management and board reports About You Wed love you to have the following skills and experience, but please apply if you think youd be more »
Stockport, Greater Manchester, North West, United Kingdom Hybrid / WFH Options
Nexperia
Understanding of electronic product design, ideally semiconductor devices, and passion for building quality into design processes Advanced skills in MS Office, databases, risk assessment, statistics of failure, and data analysis Self-motivated team player with strong drive, excellent problem-solving abilities, and a continuous improvement mindset Excellent written and verbal 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 »
resolving users issues and offering appropriate help and guidance Administering and enhancing systems and operations when identified Monitoring the systems using error logs and statistics as required and take corrective actions Updating and configuring systems in an accurate and timely fashion Maintaining system software and when required, system hardware For 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 »
Bristol, England, United Kingdom Hybrid / WFH Options
Made Tech
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 »
Manchester, England, United Kingdom Hybrid / WFH Options
Made Tech
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 »
and the ability to work across difference. Ability to work with clinicians and staff at all levels The ability to check documents and analyse statistics Ability to prioritise work Understanding of the importance of stakeholder relationships across the healthcare system Additional Criteria Essential Please provide evidence of your commitment to more »
Tableau/Looker/etc) to uncover key insights across channels and create self-service dashboards. EXPERIENCE Bachelor's Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master's degree or PHD is a plus. Degree will not be required with … will be expected to have an understanding and with guidance utilise our core technical skills: Core analytical languages and software (Excel, SQL, Python, Alteryx) Statistics Data Visualisation tools (Power BI/Tableau/Looker/etc) Web and Social Analytics (GA/Adobe/Brandwatch/Sprinklr) Value engineering/ more »
a 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 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 »
equity markets Continuous improvement of trading models and modelling techniques Qualifications: 3+ years quantitative hedge fund or proprietary trading experience Msc or PHD in statistics, mathematics, computer science or other technical discipline Demonstrated proficiency in Python For more information on this role please share your CV or reach out to more »
Product strategy through creating impactful tools for customers/members. Mentor junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying more »
responsible for developing and deploying machine learning models to automate and optimize healthcare provider processes. Experience: - Master's degree or PhD in Computer Science, Statistics, or a related field with a strong emphasis on machine learning. - 3+ years of experience developing and deploying machine learning models in a production environment more »
Strategy Implementation Working directly with traders implementing algorithmic solutions providing direct feedback into strategy designs Qualifications : Ph.D. or Master's degree in Mathematics/Statistics/Economics/Business from a reputed institution. (Preferably Top 10 Global) Demonstrated experience of >3 years working within a hedge fund/Prop Shop more »
top-tier university High confidence in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis more »
oversight of the production of risk reports and analytics covering all exposures and drivers of risk and PnL Requirements: A Degree in Mathematics, Physics, Statistics, Engineering or an equivalent in other science disciplines 4-10 years experience working within a Market Risk or Investment Risk role overlooking hedge fund strategies. more »
control systems - Bitbucket or GitHub Significant experience with using Jira, Confluence and MS 365 BSc or MSc in a relevant subject (eg Computer Science, Statistics or Maths).You will need to be able to demonstrate your ability to manage complete projects individually, from initial design to implementation Based in Bristol more »
degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university A deep understanding of statistics and an ability to apply to real world problems Strong coding skills and experience of handling large data sets. We use Python and its scientific more »
Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning algorithms and infrastructure. This would ideally be in a digital B2C product or more »
a investment bank. Familiarity with financial markets, trading concepts, and transaction cost analysis. Strong experience working with Python or MATLAB. Proficiency in quantitative analysis, statistics, and data modeling. Experience working with large datasets and databases. Excellent opportunity with a high-performing trading team rewarding package on offer with high growth more »
