76 to 100 of 144 Statistics Jobs with Hybrid or WFH Options

office Developers, trading, Market and other stake holders Your skills and experience: PhD qualification in numerate subject such as Mathematics, Financial Mathematics, Physics or Statistics would be beneficial Significant experience in a Model Validation or Front Office Quant role Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential more »

the nature of the sporting calendar, there will be the requirement to offer support outside regular working hours on occasion. Requirements: Experience using advanced statistics and modelling techniques - preferably in sports field. PhD or other post-graduate qualification in statistics. machine learning or another mathematical/scientific discipline (or equivalent 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++ BENEFITS: Hybrid working 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 »

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 »

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 »

ability to effectively work with multiple people from cross-functional teams. Knowledge Demonstrated knowledge of software applications and programming. Demonstrated knowledge of arithmetic, algebra, statistics, and other mathematics. Demonstrated in-depth knowledge of how QA works within the software industry. Knowledge of latest trends and tools used to help improve 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 »

software engineering best practice and disaster prevention (rather than recovery). Maintain and optimise the infrastructure across the company. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial working as a Senior Data Engineer (responsible for taking decisions, rather than just more »

team on vital and intricate aspects of our operations, assuming responsibility for specific areas from the outset. Technical skills An advanced degree in mathematics, statistics, physics, computer science Frontend programming (React, Angular etc...) Backend programming skills in Python (and Rust preferred) Strong familiarity with concurrency and OOP Comfortable working with more »

Stay up-to-date with the latest developments in quantitative finance and trading technology. Required Qualifications: PhD in a quantitative field such as Mathematics, Statistics, Computer Science, or related disciplines. Evidence of commitment to academic achievement (E.g. IMO medals, Dean's List, merit scholarships, etc.) Top peer reviewed publications or more »

mentoring within the Statistical Programming team. This position is perfect for you if you have: BSc/BA or equivalent in computer science, mathematics, statistics, life sciences or related field(s). Excellent SAS programming skills (BASE, MACRO, GRAPH). Excellent knowledge of CDISC standards. Statistical Programming experience within a more »

to secure reimbursement. In total, the IGES Group employs more than 200 experts from the fields of medicine, economics, natural and social sciences, pharmacy, statistics and informatics. Today, the IGES Group comprises 14 companies at locations in Germany, the United Kingdom, France, Sweden and Switzerland. To strengthen and complement our more »

Responsible Investment. While we have endeavoured to ensure that information has been obtained from reliable and up-to-date sources, the changing nature of statistics, laws, rules and regulations may result in delays, omissions or inaccuracies in information. Content authored by third parties The accuracy of any content provided by more »

and understand challenges, present and explain findings to the Executive Committee and Advisory Board Research leadership: Development of surveys, analysis of data, production of statistics, and review of existing research evidence in collaboration with other Research Division II members in the BCI to provide timely, relevant, and robust research findings more »

climate science and financial modelling.Qualifications: At least 5 years of experience as a data scientist or quantitative risk modeller. Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field (advanced degrees preferred). Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in Python and more »

Job Title: DV Cleared Data Science Consultant Role: Data Science Consultant Salary: £55,000 Location: Bristol (2 days a week in office) Requirments: active and current DV Clearance Company: Join a dynamic IT transformation consultancy at the forefront of innovation more »

XML/PDFs, Analysis Results Metadata (ARM), aCRFs and Reviewers Guides to support SDTMs and ADaMs You Will Have BSc in life sciences, mathematics, statistics or related field. Extended #SAS programming experience developed in clinical trials (#CDISC) Strong #oncology experience Submission experience including #ISS and #ISE analyses strongly desired. Excellent more »

3+ years of experience using C++ (14/17/20) and developing low latency code. Bachelor's degree in a Quantitative Field; maths, statistics, computer science, etc Experience with Distributed Computing, Platform Development, Networking, and System Design. Exceptional analytical and quantitative skills BENEFITS Competitive base salary between more »

influencer marketing campaigns. Coordinate with internal teams to ensure campaigns are delivered on time and within budget. Deliver weekly and monthly reporting of campaign statistics Team Leadership: Lead and mentor a team of account managers and other client service professionals. Foster a collaborative and high-performance team environment. Provide development more »

new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: DMPK, PKPD, modelling, protein, degradation, Lead, Director, VP, Manager, PK, ADME, Tox, in-vitro, in-vivo, IND, drug, discovery, biotech, pharma, R more »

new position, please contact us for a confidential discussion on your career, especially as there are a number of other bioinformatics, data science and statistics positions available. Keywords: DMPK, PKPD, modelling, protein, degradation, Lead, Director, VP, Manager, PK, ADME, Tox, in-vitro, in-vivo, IND, drug, discovery, biotech, pharma, R more »

Scikit-learn, TensorFlow, or PyTorchDemonstrable experience of managing/mentoring more junior members of the team Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesExperience in Software Engineering including programming in Python.Technical experience of cloud architecture, security, deployment, and open-source more »