76 to 100 of 435 Statistics Jobs in the UK

the organization To do this, you will need: Master’s degree or doctorate in an appropriate field, such as data science, computer science, applied statistics, mathematics, or equivalent Experience applying machine learning models in an appropriate biological domain or equivalent data context, such as on imaging or chemical structure data more »

standards Collaborate, coach, and learn with a growing team of experienced Data Scientists Skills/Qualifications: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR MS or PhD in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Extensive knowledge more »

experience as a data analyst Knowledge and experience with reporting packages (Business objects, tableau, power BI), databases (SQL etc), programming (XML, Javascript) Knowledge of statistics and experience in using statistical packages for analysing datasets (Excel, SPSS,SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate more »

models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as Python, R, or MATLAB. more »

in areas of business development. Use programming languages such as Python, and SQL. REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Excellent verbal and written communication skills with the ability to effectively explain technical solutions to a wide range of audiences. Extremely self more »

problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Financial knowledge of Delta 1 and Equity Derivatives products; Understanding of statistics and financial mathematics. more »

about industry developments, emerging technologies, and best practices in digital advertising analytics. Requirements: Bachelor's degree in a relevant field such as Business, Marketing, Statistics, Economics, or a related discipline. Proven experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such more »

on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong more »

industry trends and emerging technologies, offering recommendations for ongoing enhancement and innovation. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Demonstrated leadership experience (8-10+ years) within a data-focused organisation, preferably in a technology-driven setting. A track record more »

the latest developments and techniques that could be applied to your work. The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you to wear more »

seeking new ways of utilizing data/providing solutions that make impact Qualifications (Hard Skills): • MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group) • 4+ years of hands-on experience in applying data science as a Data Scientist, Quant Researcher, or Quant Developer • Python (3), high more »

desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills in more »

practical industry experience deploying and maintaining ML systems in production would be viewed very positively. Technical Requirements: Required: Strong foundation in machine learning algorithms, statistics, and data structures within relevant technical projects. Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering more »

to inform the studio and equip team members' decisions Requirements 4+ years of analytical work experience in the games industry BA/B.Sc. in Statistics/Math/Engineering/Economics or another quantitative field Strong SQL capabilities and experience in querying large, complex data sets A methodological approach to more »

metrics, reports, analyses, and dashboards that monitor and to drive key business decisions. Basic qualifications Bachelors degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience Experience in analytics, data engineering, market research or related field Experience managing and hiring a team of business intelligence more »

data-driven decisions and effectively communicating analysis results. Possess advanced SQL skills, adept at querying both structured and unstructured data types. Demonstrate experience in statistics, including hypothesis testing, product experimentation, regressions, and managing experimentation logic and biases. Exhibit a highly analytical mindset, with a proven ability to tackle complex, ambiguous more »

subject matter expertise in valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript 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 »

segmentation techniques Strong knowledge of and experience with reporting packages, databases (SQL, SSRS, Power BI etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant more »

reporting and lessons to develop the teams situational awareness and learning Knowledge, Skills & Experience (Essential) Degree level qualification in business management, consulting, sciences, finance, statistics, economics, operational research or a related area Experience of using the Microsoft Office suite, specifically Word, Excel and PowerPoint Well-developed core consulting skills e.g. 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 »

models with a focus on retail driven customer analytics Managing one other Data Scientist 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 »

to-end delivery cycle 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 Experience in personalisation, segmentation with a focus on CRM Retail experience is a bonus Experience with PySpark/Azure/Databricks is 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 »

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 »