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 »
issues. Provide system training for clients in person and remotely as needed Monitor system alerting and perform health checks Produce reporting on Service Desk statistics as necessary Carry out preliminary analysis on Power BI related issues. Update and maintain documents and procedures Required skills- Customer focused Excellent communication skills both 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 »
Reading, Berkshire, South East, United Kingdom Hybrid / WFH Options
The Source
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 »
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 »
Help produce Treasury reports for multiple governance committee such as ALCO & BARAC Key Skills/Experience: Undergraduate degree in Economics, Finance, Econometrics, Mathematics/Statistics, Computer Science or Engineering 2 years in a Treasury function Administrative & research skills. MS Office (Excel, Word and PowerPoint) Desirable - Bloomberg In return we offer more »
the full machine learning lifecycle and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch. Demonstrable experience mentoring junior team members. Knowledge of probability, statistics, and common machine learning techniques. Experience in software engineering, particularly in Python. Technical experience with cloud architecture, security, deployment, and open-source tools, with hands more »
in the Trust. Successful applicants will require excellent analytic, communication, presentation and customer service skills and have the ability to convey technical and complex statistics and information to ley audiences in an effective and understandable way. This role is key in the long term planning and deliveries of the department 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/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 »
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 »
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 »
