76 to 100 of 360 Permanent Statistics Jobs in England

and coaching others as well as delivery planning and managementCore analytics skills, data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression), and hands-on experience with BI tools (Looker, Tableau, etc..).Additional InformationApply without meeting all requirements statement If you don't 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, Ability to deliver projects 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 »

qualifications are highly desirable in our ideal candidate for this position:Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.Professional Experience: Extensive experience in data science, analytics, or engineering roles is required, with a significant portion in leadership positions. Prior experience more »

not required)Does this sound interesting?Data Scientist Key Words: VBA, Excel, Financial, Finance, Data, Analytics, Random Forests, Decision Trees, Python, R, SQL, Mathematics, Statistics, Statistical, Predictions, Predictive, AI, Machine Learning, Deep Learning, Modelling, Algorithms, Pandas, NumPy, PyTorch, TensorFlowJob typePermanent more »

a client-facing role YOUR SKILLS AND EXPERIENCE A successful candidate will have the following: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Consultancy or client-facing experience Experience across Data Strategy would be a large benefit but not required HOW TO APPLY Please register more »

and marketing teams (using internal systems, SFDC, Tableau, Excel) Requirements Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Finance or Statistics) 4+ years experience in data analytics within a sales operations or finance team, or in management consulting with significant experience in sales analytics Experience analysing more »

data using Python/R Comfortable taking ownership of projects and responsibilities with minimum supervision At least a bachelors degree in Computer Science, Mathematics, Statistics, Data Science or other quantitative discipline Good to Have C++/Java development experience Experience in using quantitative methods for strategy parameter optimization Prior experience more »

AI, and related fields to keep the company at the forefront of technological advancements Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations more »

IT service management software (ITSM), PaaS, and SaaS. To excel in this role, you should have: A Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, a related quantitative field, or equivalent practical experience. more »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »

data sets. Provide colleagues with advice and guidance on data literacy and data management. Who you will be: Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related field. You will have proven experience and knowledge of SQL Development, database design and T-SQL. You will also more »

information needs. Minimum Requirements (education, years of experience, certifications, etc.): BA/BS degree preferred in Business Analytics, Mathematics, Economics, Computer Science, Information Management, Statistics or other Technical field with a strong academic record. Data presentation skills (reporting) with a minimum of 2 years’ technical work experience using Microsoft Power more »

Actively seek trends in client data to assist in migrations. Qualifications and Skills: * Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline is desirable. * Strong analytical and problem-solving skills. * A good understanding of core IT principles. * Strong Excel knowledge and hands more »

to understanding the data and analytics across the differing asset classes Ideal candidates will have: · Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field · 2- 5 years of experience in software development within a hedge fund, investment bank or other financial institution · Strong programming skills in more »

a collaborative and informed decision-making environment.Required Qualification/Skills1. Educational Background:* Master's in a quantitative discipline such as Computer Science, Finance, Economics, Statistics, or a related field (preferred).2. Professional Experience:* Minimum of 3-5 years of experience in quantitative analysis, financial modelling, and software development.* Demonstrated experience more »

research to keep the team updated with the latest quantitative techniques and theories. Requirements: Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Evidence of exemplary accomplishments either in academia or industry A minimum of 3 years of experience in quantitative research more »

of innovation, striving for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python, C++). Exceptional analytical and problem more »

validation and decision support model relates roles. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have Advanced level of SAS or SQL programming – an equivalent level in an more »

markets Experience or strong interest in crypto markets Advanced degree (PhD or MSc) from a top-tier university in a quantitative field, such as Statistics, Operations Research, Computer Science, Mathematics, or Physics Strong experience developing statistical models in a trading environment Deep understanding of optimization theory Excellent programming skills in 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 »

privacy concerns, mitigate risks, and uphold the highest standards of data security and privacy. Skills, Knowledge and Experience: Bachelor's degree in Marketing, Business, Statistics, Computer Science, or related field. Proven experience in marketing data analysis, preferably in a tech company or B2B environment. Proficiency in Salesforce Pardot, or equivalent more »

as we continue to build integrated solutions for our clients Skills and Attributes Bachelor’s or Master’s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Minimum 2 years of relevant Life Insurance actuarial experience for Consultant and at least 5 for Senior Consultant and above more »