101 to 125 of 1,340 Statistics Jobs in the UK

or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning More ❯

or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning More ❯

Engage in continuous learning to stay ahead of industry trends and leverage new tools and techniques in data analysis. Requirements Bachelor's degree in a quantitative field such as Statistics, Computer Science, Engineering, or related fields. Up to 3 years of experience in data analysis or a related field. Experience in the crypto industry is a plus. Familiarity with User More ❯

fantastic opportunity for someone with a passion for data and a strong analytical mindset to make a real impact on our business. Requirements Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar analytical role. Strong proficiency in data analysis tools and languages such as SQL, Python, or More ❯

signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the More ❯

to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯

to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯

to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but More ❯

the data we have available Proven ability to work in a fast-paced environment and manage multiple priorities Bachelor's degree in a relevant field e.g. Computer Science, Mathematics, Statistics, etc. More ❯

with finance, marketing, and product management as a leader of ongoing analytical support. Basic Qualifications Bachelor's degree or higher in a quantitative/technical field (e.g., Computer Science, Statistics, Engineering). 2+ years of hands-on experience writing SQL queries. Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries). Experience with AWS services including More ❯

best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R, and Java. Experience scaling machine learning More ❯

deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and More ❯

deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and More ❯

to optimise risk-adjusted returns. Stakeholder Collaboration : Working with internal teams, including operations, product, finance, and compliance, to align risk management objectives with business goals. A degree in Finance, Statistics, Economics, Mathematics, or a related field. Proficient in SQL. Experience in Credit Risk Strong understanding of credit risk metrics (PD, LGD, EAD) and financial modelling. Experience with data visualization tools More ❯

collaboratively. Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience. Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus). In a changing world, diversity and inclusion are core values for team well-being and performance. At More ❯

directly with business stakeholders to translate between data and business needs - Experience programming to extract, transform and clean large (multi-TB) data sets PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience programming to extract, transform and clean large (multi More ❯

Ability to work independently and collaboratively in a fast-paced environment. Experience in the insurance or financial services industry is a plus. A degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field would be preferred but is not essential Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

and emerging technologies in data analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or e-commerce environment. More ❯

bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling More ❯

the data we have available Proven ability to work in a fast-paced environment and manage multiple priorities Bachelor's degree in a relevant field e.g. Computer Science, Mathematics, Statistics, etc. Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global are key. Even though More ❯

with machine learning engineers, BI, and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we More ❯

in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data More ❯