1 to 25 of 435 Statistics Jobs in the UK

scoping projects to existing clients Qualifications To be successful in this role you will need: MMM/Econometric modelling experience Advanced degree in Engineering, Statistics, Social Sciences, Economics, or Quantitative Marketing Strong analytical, statistical, and modelling skills Experience in managing projects Excellent communication skills and high attention to detail Proficiency more »

core channels e.g. e-mail; social. Assist with the implementation and execution of email marketing campaigns Collate and report back weekly and monthly performance statistics for all digital communications across all channels. Analyse and report on the success of direct/email marketing campaigns Create quality content and proofread any more »

review culture within the team Requirements Minimum 4 years’ hands-on experience as a Data Scientist 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 »

with different expertise to orchestrate shared solutions An ability and desire to learn new skills quickly Academic background in a relevant quantitative field, e.g. statistics, engineering, computer science, with an advanced degree (PhD/MSc) in one of these disciplines preferred For engineering, proficiency in testing, packaging and deployment in more »

deliver with fast time-to-market, quality, and ownership. Desirable: Experience with Agile and SAFe frameworks for software development Experience in data science techniques, statistics, analysis, and visualization of data is always nice to have. At Kantar we have an integrated way of rewarding our people based around a simple more »

years or more of experience in a product and/or quantitative finance related role Advanced degree in a quantitative field such as mathematics, statistics or quantitative finance. Knowledge of developer workflows and an understanding of financial products and analytics. Knowledge of Fixed Income products and Credit Derivatives is preferred. more »

leads to target. Support the update of information in the CRM Requirements Required experience & interests University degree or equivalent experience (hospitality, environmental science, sustainability, statistics, business studies), and/or equivalent work-based research and experience Passionate about sustainability and hospitality Essential skills Fluent written and spoken English Strong communication more »

or another language) to meet a particular need. A major part of this role is creativity and having a core understanding of probability and statistics to ensure that games are of the highest quality from a mathematical perspective. Responsibilities Assisting relevant teams where necessary in designing, developing and delivering new … out new game ideas. Required Experience working with slot game mathematics. undergraduate/master’s degree in mathematics or other numerate disciplines – such as Statistics, Engineering or Physics. knowledge of Combinatorics, Probability Theory and Quantitative Analysis. knowledge of the Python programming language. with the Java programming language and with Microsoft more »

engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »

Generative AI research papers to understand applicability to solve practical business problems. Qualifications Who we're looking for: Degree in a quantitative discipline (e.g. statistics, computing science, data science) or equivalent experience Experience in dealing with high volumes of data with excellent attention to detail and reconciliation Knowledge of a more »

and internal stakeholders, serving as a trusted advisor and thought leader in the field. Qualifications: Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or related field. Proven experience leading data science and machine learning initiatives, with a track record of delivering impactful solutions. Proficiency in programming languages more »

have: a good degree in a relevant subject, or equivalent experience by exception – see ‘Essentials’ and ‘Desirables’ for details an aptitude for research, analysing statistics and disseminating statistical results an interest in statistical theory and its practical applications, and new developments in the field an aptitude for statistical computing (programming … to communicate effectively, presenting statistical results orally and in writing using a range of formats, and to different audiences* The following degree subject areas: Statistics (or any subject combined with this such as Mathematics and Statistics) Computer Science Data Science Mathematics Economics Operational Research Quantitative methods Data Analytics Or any … work experience which mentions ‘statistics or data science 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 »

give business end-users access to information without direct IT involvement Requirements for the Data Engineer role; Hold qualifications in related disciplines such as Statistics, Mathematics and Data Sciences Experienced in working Microsoft Cloud Data and Automation technologies Experienced working with Tableau and or Power BI Experienced in data warehousing more »

guild and become the go-to expert for data management. Requirements: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Professional Experience: Extensive data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency more »

or alphas. Conduct comprehensive statistical analyses to ensure robustness. Key Experience Required: Masters or PhD in quantitative subjects such as Applied Mathematics, Computer Science, Statistics from a top-ranked university 4+ years experience working in a systematic environment working as a quantitative researcher with a focus on Mid to High more »

achieving a Sharpe Ratio of 1.5 or higher from inception to date. Masters or PhD in quantitative subjects such as Applied Mathematics, Computer Science, Statistics from a top-ranked university Strong experience in either C++ or Python programming languages. Market leading compensation and benefits on offer! Email oliver.silver@search-technology.com more »

such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to productionise advanced data deliverables, such as machine learning more »

impact on Aviva. Skills and experience we’re looking for: Highly numerate and educated to degree or postgraduate (MSc) in a meaningful field - Mathematics, Statistics, Computer Science You will bring several years’ experience with a track record of solving complex non-routine problems; along with expertise in some, if not … all, of the following areas: Statistics, Machine Learning, Deep Learning & AI Excellent communication and stakeholder management skills - able to communicate complex ideas in an understandable way often to non-specialists Ability to deliver projects, work collaboratively with operational teams and can think and act strategically What you’ll get for more »

bottlenecks in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with real-world more »

reporting and majority shareholding reporting. Management Information – Produce high quality, informative and accurate Management Information regarding the status of the Compliance Monitoring Programme, AML statistics and other Compliance data. Working to tight timelines. Assess the effectiveness of current policies, procedures, monitoring and controls. Implement change to improve and where required more »

impact on Aviva. Skills and experience we’re looking for: Highly numerate and educated to degree or postgraduate (MSc) in a meaningful field - Mathematics, Statistics, Computer Science Ideally you will bring experience of solving complex non-routine problems; along with expertise in some, if not all, of the following areas … Statistics, Machine Learning, Deep Learning & AI You will have experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You’ll also need the more »

to ensure the seamless integration of your quantitative models into our trading systems. The ideal candidate will possess a strong background in quantitative finance, statistics, and programming, with a demonstrated ability to develop and apply complex mathematical models to real-world financial market scenarios. Responsibilities Develop, implement, and maintain sophisticated … suggest improvements and innovations to the team's processes and tools. Requirements Master's or Ph.D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and implementing more »

the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: • Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development more »

and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification more »