101 to 125 of 157 Statistics Jobs with Remote Work Options

portfolio to identify potential negative impacts due to economic or financial markets shocks What you bring Bachelor's degree in Finance, Economics, Financial Engineering, Statistics, etc is required. Master's degree, CAIA, CFA are preferred. 5-7 years of experience in Investment Risk Management Previous experience with portfolio credit risk more »

issues and offering appropriate help and guidance Administering and Indetifying wheere enhancing systems and operations is possible 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 Implementation more »

STEIS tool as appropriate Review and report key indicators to provide information for Data Governance Group (DGG) and Information Governance Group (IGG), including data statistics and analysis of incidents. Conduct Data Security and Protection user satisfaction surveys in line with Data Security and Protection Toolkit requirements. Deputise for the DSP more »

Comply with NHSBSA policies, procedures and protocols as they apply to your role. Working relationships Responsible to: Head of Data Science, Advanced Analytics and Statistics Responsible for: Senior Data Scientists and Data Scientists Key relationships and connections: NHSBSA staff, primary care organisations, national bodies, Department of Health and Social Care … the NHS policy landscape Experience Essential Significant experience working in a role requiring practical use of data science and analytical skills and techniques including statistics and predictive modelling, machine learning and natural language processing to a range of data types. Experience of implementing production machine learning models and advanced analytical … computer science or an equivalent subject requiring very high levels of statistical analysis Desirable Master's Degree with Computer Science, Data Science, Mathematics or Statistics, or a subject requiring very high levels of statistical analysis Evidence of continuous professional development Certificate of Sponsorship Applications from job seekers who require current 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 »

trends and developments Make optimal decisions under pressure Requirements: Track record (2+ years) of developing strategies that have been profitable Strong background in Mathematics, Statistics, Computer Science, or a related field Experience with programming languages such as Python or C++ Excellent communication and teamwork skills 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 »

work - Clinical Trial Transparency deliverables (data de-identification, results posting files) - Timely upload of documents to eTMF Essential experience/skills: • BSc in mathematics, statistics, engineering, computer science, or life or social sciences. • Advanced SAS programming knowledge and experience. • Knowledge of database set-up and report publishing requirements. • Advanced knowledge 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 »

Relevant working experience in a bank, rating agency, consultancy or advisory firm is desirable. Experience of dealing with regulators is advantageous. Some understanding of statistics and concepts of the risk modelling process would be advantageous Skills Ability to lead, manage and successfully deliver within the agreed time scale, in liaison more »

and determining how to optimize processes. What skills should I have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the more »

email and video call respond to requests for assistance from users of the e-learning software within client companies provide data analyses, reports and statistics to co ordinators of the e-learning programmes within large prestigious organisations worldwide liaise with sales, customer success, development and other teams across your organisation more »

Team Our employee base represents the consumers we serve, and we are committed to ensuring that diversity is represented across our entire organization. Key statistics and notable awards include: employees are 75% female and 40% diverse representing the consumers we serve. are a leader in board diversity. We are more »

and/or programs. Qualifications You'll Need The Basics Bachelor's Degree in Information Technology , Engineering, Business Administration and Management, Finance, Mathematics, Economics, Statistics or related field 4+ years of e xperience in Product Management or Engineering experience in Financial Services or Tech Industry, or related In lieu of more »

regular reports on transaction banking activities, including transaction volumes, revenues and client feedback.Working with cross-functional teams. Collate monthly, quarterly and annual performance monitoring statistics and ensure RMs provide timely updates; Collect departmental business data and regular analysis to provide insights. Assist in the implementation and improvement of processes related more »

segmentation techniques. Extensive familiarity with reporting packages (e.g., Business Objects), databases (e.g., SQL), programming languages (e.g., XML, JavaScript, or ETL frameworks). Knowledge of statistics and proficiency in statistical packages for analysing large datasets (e.g., Excel, SPSS, SAS). Strong analytical skills, capable of collecting, organising, analysing, and disseminating substantial more »

organisation and administration of management meetings. Track action points and ensure timely follow-up. Record Keeping: Maintain various records, databases, and dashboards for team statistics (locations, roles, etc.) Approval Monitoring: Monitor approvals for various processes (Shopping Carts, etc.). Vendor Interaction: Interact with vendors and external partners as required. Support more »

Web APIs (e.g. Swagger, Open API) Wider personal background: Good interpersonal skills and the ability to communicate about technical issues with business consultants Maths, Statistics, Economics, Business studies or similar Data validation, analysis, modelling and interpretation What you need to do now If you're interested in this role, click more »

requests and annual renewals/upgrades Monitor the general email inbox and pass emails on to the relevant team/person where necessary Gather statistics to show the number of queries coming into the helpdesk and what the most common issues are. Ideally you'll possess the following qualifications Excellent more »

in cross-national methodological debate and projects (including conference presentations and publications) Your Profile Solid formal qualifications (e.g. a Bachelors degree with a significant statistics element or a Masters/doctorate in a relevant topic) Substantial track record of working with survey, administrative and other large scale datasets to answer more »

cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in catastrophe risk … Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and propagation, GLMs applications, feature engineering, data visualization, and hypotheses testing True passion for leading, inspiring, mentoring, and attracting world-class colleagues Experience working with different types of datasets (e.g., unstructured, semi-structured, with missing information) Proficiency in Python. more »

maintenance of employee information Employee communications and system management Background checking management for the UK Providing ad hoc and regular MIS reporting including sickness statistics, budgets, pay review etc. Management support and guidance. Annual reporting to the HMRC including P11D and PSA. Support HR/Financial audits You will have more »

/replacement as required Create New User accounts Configure and deploy new PCs and Laptops Provide support to the company's routing systems Collate statistics as required to provide statutory reports for the Operations and Management teams more »

reviewing and updating content on a continuous basis · Create bespoke capability statements for specific opportunities · Support the Head of Bids in producing analysis and statistics on bids across the practice - Input to bid strategy - bid or no-bid qualification,working with the bids team to identify key themes and messages. more »

bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world more »