276 to 300 of 773 Statistics Jobs in the UK

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

production code (not required to develop) Legacy tooling in Perl/sh (can be learned on the job) Candidate Profile; PhD or Master's in a quantitative discipline (e.g. statistics, CS, physics, maths) Strong programming skills (Python, q/kdb+) and understanding of statistical methods 2+ years in electronic or algorithmic trading (equities preferred) Hands-on experience with execution logic More ❯

to standards. Utilise data integration tools and languages to integrate and store data, and advise teams on best practice. Competencies & Experience: Bachelor's degree in a quantitative field (e.g. statistics, mathematics, computer science) 4 years of experience as a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related More ❯

mentoring junior scientists. You'll work with massive datasets, optimize model performance, and ensure production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for More ❯

internship) You can code with at least one of the following: Python, C++ or C# You have strong SQL skills You're comfortable working with large data sets and statistics You have a good appreciation of data science techniques You have experience of implementing highly scalable, performant, low latency solutions You have excellent written and verbal communication skills What's More ❯

is preferred. Experience - Must-have skills: Several years of commercial experience as a Data Scientist Strong understanding and practical experience in data science and statistical principles such as applied statistics, model selection, cross-validation, objective functions, hyperparameter tuning, and optimization problems Excellent interpersonal skills with the ability to communicate data science concepts clearly to non-technical stakeholders Proficiency in Python More ❯

internship) You can code with at least one of the following: Python, C++ or C# You have strong SQL skills You're comfortable working with large data sets and statistics You have a good appreciation of data science techniques You have experience of implementing highly scalable, performant, low latency solutions You have excellent written and verbal communication skills What's More ❯

complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic More ❯

/actuarial environments. Excellent communication and collaboration skills across technical and business teams. Strong problem-solving mindset with the ability to simplify complexity. Degree in Computer Science, Engineering, Mathematics, Statistics, or similar. What’s in It for You: High-profile projects in a growing, forward-thinking data and analytics team. The chance to influence and deliver real business impact through More ❯

complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic More ❯

the exploration of new tool and approaches Share findings and insight effectively using structured narratives and visualisations Requirements: Experience in analytical work, working with primarily quantitative methods Degree in statistics, mathematics, economics or equivalent field Good skills in analytical tools, preferably PowerBI and Excel, SQL, Tableau, Python, R or equivalent Some experience in qualitative approaches including content, thematic and discourse More ❯

environments. Strong proficiency in Java, including multi-threaded programming and modern frameworks (Spring, Google Guice). Graduate degree (Master's or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science. Demonstrated experience with electronic trading infrastructure, including pricing engines, execution logic, and trade lifecycle components. Advanced statistical modelling skills and experience working with large-scale More ❯

similar. Experience - Must-haves: * Must have a number of years working commercially as a Data Scientist * Solid understanding of & real-world experience implementing data science & statistical principles - e.g. applied statistics, model selection, cross-validation, objective functions, hyperparameter tuning, continuous & discrete optimisation problems, etc. * Strong interpersonal skills & ability to explain data science principles with clarity to non-technical stakeholders when required More ❯

breakthroughs This is a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within More ❯

breakthroughs This is a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within More ❯

breakthroughs This is a permanent role that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within More ❯

a placement completed during studies. Initially being offered on a 12 month fixed term contract however, opportunities to extend to 24 months may be possible. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics etc are suitable - with a strong numerical and problem solving content. You should have experience delivering business insights and stakeholder engagement. You will be expected to provide More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Good communication and More ❯

lab scientists, biochemists and bioprocess engineers. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza's capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics molecules. The role is also expected to manage collaborations and act as mentor for more junior team members. What you'll do More ❯

with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems More ❯

such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Master's degree in math/statistics/engineering or other equivalent quantitative discipline, or PhD More ❯