1 to 25 of 366 Permanent Statistics Jobs in England

are open to hiring candidates to work out of one of the following locations: London, GBR BASIC QUALIFICATIONS - Degree in finance, business, economics, mathematics, statistics, computer science or related field - Experience working with SQL, Datamart or VBA - Experience translating roadmaps and key performance indicators as well as recommendations to senior more »

Experience in SQL querying and data manipulation * Knowledge of statistical analysis and data mining techniques * Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, or related discipline) * Fluency in French (both written and spoken) is very desirable, but not essential The Company A global and multi-billion 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 »

This role will work with different teams to coalesce data from multiple commercial sources and utilise reporting & analytical tools to generate detailed information and statistics to identify trends, efficiencies and new opportunities or risks related to the commercialization of AVEVA’s industrial platform services.ResponsibilitiesWork with CONNECT platform leadership team to more »

of users. Microsoft offers a competitive base salary plus bonus, excellent benefits package and stock. Qualifications Qualifications A Ph.D. in Computer Science, Math, Physics, Statistics, or related areas or Candidates with master s degree with 5 relevant post-PhD industry experience Must have experience in the following: Minimum 3 years more »

a data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. Education: Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Technical Skills: Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. more »

Job DescriptionData Software Engineer– LondonSports Analytics & Statistics CompanyFulltime onsite*Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*A Data Engineer is required for an exciting and innovative Software sports betting company based in London. The successful candidates will be working closely with the … SQL, Scala. Experience in at least one cloud platform (preferably GCP).BSc/MSc in computer science, maths, physics or STEM subject.Basic knowledge of statistics and machine learning.Experience with Spark, Apache services, ETL tools, Data visualization and dashboards.Experience with streamed data processing, parallel compute, and/or event based architectures.Experience … with web-scraping tools and techniques.Data Software Engineer– LondonSports Analytics & Statistics CompanyFulltime onsiteSend your CV for immediately review and further details.Job InformationIndustry Technology Salary 70-80k Tech Stack Scala; Python; Database Work Experience 4-5 years City London State/Province Greater London Country United Kingdom Zip/Postal more »

data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis more »

Data Scientist. (Candidates without substantial prior data science experience will not be considered) Educated to a degree level in relevant subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as … data management programming such as SQL Experience bringing predictive models into a production environment Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record more »

You As a Data Scientist, you’ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python … and Data Profession Capability Framework for the role. This will draw on your skills and experience in the area(s) detailed below ● Applied Maths, Statistics and Scientific Practices ● Programming and Build (Data Science) ● Data Science Innovation ● Data Engineering (Data Science) For more details, please click the link: Data scientist - Government more »

Senior Data Scientist - Credit Risk AnalyticsHybrid in London/Remote within the UKThe companyFast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca more »

program. [Bonus] Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics [Bonus] Experience with LLMs, code generation, or building products loved by many developers If some of the above doesn’t line up perfectly with your more »

and translate their ambitions and goals into analytical challenges. Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong coding skills with SQL, working with large and complex data sets to extract insights and identify trends Exposure to cloud 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 »

/Prince2 or equivalent methodologies, ability to work under pressure and lead a team. Education/Qualification: Degree in Computer Science/Maths/Statistics or related field. Other: Flexible approach to supporting business needs outside regular hours. Job Type: Full-time Salary: Up to £45,000.00 per year Benefits more »

and translate their ambitions and goals into analytical challenges Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Advanced coding skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills 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 »

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 »

contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with at more »

expertise in Computer Vision and 3D Data. Experience in 3D data - LiDAR, Point Cloud etc MSc or PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics, or relevant fields. Track record of thriving in fast-paced startup settings. Proficiency in Python and C++ programming languages. NEXT STEPS: If you're excited 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 »

seek opportunities to improve processes to enhance efficiency Requirements: Bachelor’s degree from an accredited university or college in Mathematics, Computer Science, Information Management, Statistics, Economics or other relevant areas A minimum of two years relevant work experience Knowledge of hotel systems Proficient with reporting tools and Excel Proficient with more »

driven customer analytics Managing 1 Taking ownership of the end-to-end delivery cycle REQUIREMENTS: Minimum of MSc in a STEM subject e.g. Mathematics, Statistics or Computer Science Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is more »

field (maths, stats, physics, computer science, etc.). C++ library experience or strong skills in Python/Java/C#. Strong knowledge of probability, statistics, and machine learning. 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 »