1 to 25 of 127 Statistics Jobs in the UK with Remote Work Options

data quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record more »

with relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the more »

up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and visualisation more »

science techniques, tools, and best practices. Experience required of the Senior Data Scientist Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience and understanding of the Financial domain, with the ability to influence and shape business use-cases. Proven experience as a more »

digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »

A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data Desirable more »

reports and analyses. Stay up-to-date with industry trends and best practices in BI and analytics. Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven experience as a BI Analyst or similar role Proficiency in SQL for data manipulation and analysis. Experience with Power more »

data science and analytics. Understanding of LLM's and Knowledge graphs is advantageous. Bachelor's or master's degree in Data Science, Computer Science, Statistics, or a related field. What we will offer you Recognised and rewarded for a job well done, we have a range of flexible benefits for more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience and understanding of Insurance Domain, and ability to influence and shape business use-cases. Proven experience as a Data Scientist more »

branching and pull requests. Proven track record of translating complex technical findings into actionable business insights. Degree or equivalent in a relevant field, e.g., Statistics, Mathematics. Bonus points for: Experience in the energy retail sector. Proficiency with Databricks. Senior Data Analyst/Data Modelling/SQL/Tableau/Python more »

operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »

operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »

operational or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with more »

accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you take more »

and confidently present complex findings to non-technical audiences. The ideal candidate will have experience with: Machine learning, Forecasting, Discrete Event Simulation, and multivariate statistics Demand and capacity planning in a healthcare environment Analytical approaches to performance management Excellent teamworking and communication The job is specialised in terms of the more »

deployments, testing Support clients on analytics/transformations on time series/futures/options data Ideal Candidate Degree in quantitative/mathematics/statistics field Ideally have familiarity with data/analytics specific to energy, finance, insurance, commodities, FX or interest rates i.e. derivative contracts (futures/options), historical more »

experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »

resident, citizen or Visa that allows you to work in the UK Degree educated with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics) 5 years+ experience in a Business Analyst role Experience in using LEAN, AGILE and PRINCE2 methodologies Previous experience of delivering value from change management Experience 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 »

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 »

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 »