26 to 50 of 121 Statistics Jobs in the UK with Remote Work Options

to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. What we're looking for; Undergraduate degree in mathematics/statistics or a similarly numerical subject. Undertaking actuarial exams, with the ambition to qualify as a Fellow of the Institute and Faculty of Actuaries. (IFoA) or more »

working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently more »

and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL more »

etc) An eagerness to learn how to use new systems and analytics tools A problem-solving mindset Nice to have: Qualifications in Computer Science, Statistics or other Data disciplines would be useful but are not a requirement Benefits: In addition to a competitive salary, we offer a range of benefits more »

in Scrum/Agile development environments. Familiarity with IT service management software (ITSM), PaaS, and SaaS. A Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. Due to the volume of applications received for positions, it will not be possible to respond more »

ability to resolve complex issues whilst working collaboratively with the immediate and broader team. Qualifications: Numerical degree grade 2.1 or above in Mathematics/Statistics/Data Science or equivalent. A-level maths grade A or above In return, we offer. At the RAC, our colleagues do whatever it takes more »

roll-out of probabilistic modelling across the company through knowledge sharing, mentoring, supporting technical trainings. Staying up to date on latest developments in advanced statistics and data science as well as the respective domains like physics-based modelling to help the business make truly data-driven decisions. Collaborating in a more »

of application where the usage of HR data may contribute to the companys success Qualifications University degree in a quantitative discipline such as Mathematics, Statistics orComputer Science; alternatively, similar training Relevant working experience in Analytics, ideally in an HR environment Experience withtools such as R/Phyton, SQL and Power more »

activities Lunch allowance for use within our subsidized onsite canteen Must have skills Degree educated or equivalent in a relevant subject e.g. Quantitative Finance, Statistics Significant experience within investment risk management within the asset management or financial services industry with a focus on equities Extensive knowledge of capital markets and more »

and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting more »

data engineering teams to deploy and integrate deep learning models into our trading infrastructure. Qualifications: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such more »

data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »

Access to free perks and discounts through Perkbox Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced more »

projects. Produce reports outlining findings and communicating key results to stakeholder Requirements: Numerical based degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS/SQL language Experience in using specialist pricing software (i.e. Emblem more »

Design ad hoc reports as required, maintaining consistent company formatting; Produce periodic reports as defined by the Management Team to include daily, weekly, monthly statistics, KPIs and progress reports; Produce regular reporting in accepted group format and assist in inter group data submission to meet certification requirements; Analyse reports and more »

Design ad hoc reports as required, maintaining consistent company formatting; Produce periodic reports as defined by the Management Team to include daily, weekly, monthly statistics, KPIs and progress reports; Produce regular reporting in accepted group format and assist in inter group data submission to meet certification requirements; Analyse reports and more »

Design ad hoc reports as required, maintaining consistent company formatting; Produce periodic reports as defined by the Management Team to include daily, weekly, monthly statistics, KPIs and progress reports; Produce regular reporting in accepted group format and assist in inter group data submission to meet certification requirements; Analyse reports and more »

retail customers. Training & Education Experience of using analytical coding software such as SAS Enterprise Guide or SQL Desirable - Graduate or postgraduate qualification in mathematics, statistics, data modelling or a similar analytical discipline Interested? Apply today to find out more more »

scoping projects to existing clients Qualifications To be successful in this role you will need: MMM/Econometric modelling experience Advanced degree in Engineering, Statistics, Social Sciences, Economics, or Quantitative Marketing Strong analytical, statistical, and modelling skills Experience in managing projects Excellent communication skills and high attention to detail Proficiency more »

self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, 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 »

self-driven working independently. Requirements: Must have experience in Computer Vision, and Visual SLAM 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, C++ and Lidar Benefits: Hybrid more »

team-building abilities. Exceptional communication and interpersonal skills, with the ability to influence stakeholders at all levels. Advanced degree in Data Science, Computer Science, Statistics, Business, or a related field is preferred. Job Title: Chief Data Officer (CDO) Location: London - hybrid working more »

projects. Produce reports outlining findings and communicating key results to stakeholder Requirements: Numerical based degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS/SQL language Experience in using specialist pricing software (i.e. Emblem more »

an active role in submission, post-hoc, and/or ad hoc activities. What you will need: Bachelor’s degree or equivalent in Mathematics, Statistics, Data science/analytics, or other relevant scientific. Previous Statistical Programming experience within the pharmaceutical industry essential. Excellent knowledge of SAS essential and R or 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: computational, chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma more »