51 to 75 of 147 Statistics Jobs in the UK excluding London

Good understanding of Consumer Duty and the role customer insight plays in demonstrating good customer outcomes Educated to a degree standard, ideally in applied statistics/operational research/management science. Insatiable curiosity with natural desire to relate to the commercial agenda of the business and to changes going ...

technical trade‐offs, risks and progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. 5+ year work experience in relevant field. Strong software engineering capability in Python, including ...

conception to delivery while aligning with business objectives. · Have an advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading ...

attribution models, and marketing automation platforms. - Ability to analyze raw campaign data and develop actionable insights related to paid media performance. Understanding of basic statistics and mathematical modeling concepts such as statistical significance, standard deviations, and regression analysis. - Experience with incrementality testing, geo-lift studies, or other advanced measurement methodologies. ...

care and continuous feedback, with an annual performance review cycle. Knowledge, Experience and Qualifications Essential Extensive commercial software experience. Degree in Computer Science, Mathematics, Statistics, Physics, Engineering or another relevant STEM discipline, or equivalent practical experience. Familiarity with our core stack, with strong experience in at least 2 components: Python ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

through the effective use of data science. Skills & Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). ...

quantitative models \* Strong analytical and problem-solving skills \* Ability to communicate complex findings to both technical and non-technical stakeholders \* A degree in Mathematics, Statistics, Physics, Engineering, Data Science, Econometrics or another quantitative discipline Desirable \* Previous Model Risk Validation experience \* Model Development experience \* Climate scenario analysis or stress testing \* Banking ...

range of services. Required Skills & Qualifications: Degree or postgraduate qualification in a relevant field such as computer science, mathematics, data science, social science, or statistics, or equivalent experience. Strong knowledge and awareness of a range of data and insight disciplines including business intelligence, data analytics, data visualisation, qualitative research ...

person attendance. Key requirements: A degree or postgraduate level qualification in a relevant field such as computer science, mathematics, data science, social science or statistics or equivalent experience of working at or applying knowledge and skills at this level. Strong knowledge and awareness of a range of data and insight ...

team leadership skills: mentoring, cross‐functional collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting ...

lifecycle — from GPU optimization and model performance to backend systems and cloud-native architecture (e.g. Kubernetes, AWS) — with a solid grounding in statistics, ML theory, and modern AI/ML frameworks and tools. You value collaborative engineering , seeing code reviews and architectural decisions as spaces for shared growth, and translating ...

related technical field (or equivalent experience) and established professional experience in machine learning engineering. You have deep ML expertise with expert knowledge of statistics, machine learning theory, and algorithms, and strong proficiency across AI/ML frameworks, libraries, and tools. You optimise for performance and scale with strong knowledge ...

high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work ...

essential. A in either Maths or Further Maths A-Level 1st or 2:1 in a mathematical or equivalent degree (including Actuarial Science & Statistics) Other skills required include: Microsoft Office skills. SQL, Python, or similar coding experience Driven, curious mindset and natural problem-solving ability Excellent written and verbal communication ...

data provision are resolved. Participation in areas such as data quality, master data management and metadata management Participation in the creation of data models, statistics, dashboards, and advanced visualizations in support of the Finance Operating Model and strategic direction Research and implement new and innovative strategic assessments in technology ...

alike. Must have the ability to translate complex technical concepts into clear business insights and recommendations Proven experience with varying Data Science techniques across statistics, machine learning, and GenAI coupled with strong programming skills in Python and SQL are essential. Any experience working within highly regulated environments is preferred ...

fine-tuning, evaluating and deploying large language models. Experience working with large-scale text datasets and real-world machine learning problems. Solid grounding in statistics and classical machine learning. Hands-on experience developing Generative AI and agentic AI solutions. Excellent communication skills with the ability to engage technical ...

exposure to tools such as Meridian, Robyn, or PyMC Proficiency in Python and experience working with cloud platforms such as GCP Understanding of Bayesian statistics and marketing attribution concepts Ability to communicate technical findings clearly to non-technical audiences Interest in applying AI tools to enhance data science workflows What ...

functional roles relating to data science and how they can be most effectively applied to solve business problems Qualifications Strong knowledge of applied mathematics, statistics and scientific methods, with the ability to apply these to practical data science challenges and provide expert guidance to teams. Experienced in providing technical leadership ...

functional roles relating to data science and how they can be most effectively applied to solve business problems Qualifications Strong knowledge of applied mathematics, statistics and scientific methods, with the ability to apply these to practical data science challenges and provide expert guidance to teams. Experienced in providing technical leadership ...

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

Want to accelerate the future of AI-led life sciences innovation? So do we. At BioXcelerate AI, we combine specialist health data science, advanced statistics, machine learning, bioinformatics and software engineering to help life sciences organisations solve complex research and development challenges and generate actionable insight at speed. Through platforms ...

alongside a good understanding of qualitative and mixed-methods approaches in a public health-related field. You will have a strong background in data, statistics, research design, data collection, analysis and interpretation. Experience of evaluation design, theories of change and evaluation frameworks would be advantageous. The successful applicant will demonstrate ...