1 to 25 of 64 Statistics Jobs in the South East

Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python ...

methodical approach to problem solving and be proactive in meaningfully contributing to the success of D&F. Joining the company with a maths, statistics, engineering or natural sciences degree (ideally Masters), they also require the ability to effectively communicate technical details to a non-technical audience. - Managing, auditing, processing ...

capacity modelling techniques. Experience of forecasting methodologies. Knowledge of NHS performance and commissioning frameworks. Qualifications Essential Degree-level qualification in Data Analytics, Business Intelligence, Statistics, Mathematics, Information Management or a related subject, or equivalent experience. GCSE (or equivalent) English and Mathematics at Grade C/4 or above. Desirable Microsoft ...

Python, or R to manipulate and analyse data (training and development provided) What We Are Looking For A degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related numerate discipline. You will be analytical, detail-oriented, and comfortable working with large and complex datasets. Strong Excel skills ...

team of 2 Data Scientists. • Act as a subject matter expert, providing guidance across wider analytics initiatives.Skills & experience• Expert knowledge of advanced analytic techniques (Statistics, Machine Learning, Deep Learning) and a demonstrable ability to evaluate and select the right approach for the nature of the problem to be solved.• Extensive ...

with data science. Transform data and build models to optimise customer experience, profit revenue generation, cost reduction and other business outcomes. Be passionate about statistics and machine learning, and AI. Be able to convey a thorough understanding of the benefits and use cases of these across the business ...

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). ...

from scratch Experience with model performance monitoring and data quality Excellent written and verbal communication Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience Preferred qualifications Uses AI tools to automate day-to-day work (Claude Code, OpenAI, and similar) and is comfortable ...

emerging developments within autonomous AI and intelligent agent technologies. About You Essential Requirements Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline. Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI. Demonstrated expertise in at least ...

teamsStrong communication skills to explain data findings to technical and non-technical audiencesBonus points for Snowflake or data migration project experienceDegree in a maths, statistics, or similar numerate disciplineWhat we offerOur benefits package includes:27 days annual leave + bank holidaysholiday purchase schemeenhanced pension scheme (up to 10.5%)life assurancesubsidised ...

through publications, presentations, and external collaborations.Interested? For this role, we are looking for the following education, experience, and skills:You have a PhD in Statistics, Computer Science, Engineering, Computational Biology, Statistical Genetics, Mathematics, or a related scientific field.You bring experience in industry, ideally within pharma, clinical development, life sciences ...

influencing technical decisions through strong design and code reviewsExperience developing scientific, measurement, or signal/image-processing algorithmsBackground in applied mathematics, numerical methods, statistics, or scientific computingExperience improving performance and diagnostics/observability for system-level softwareExperience collaborating across teams on system integration and software releases for complex systemsExperience delivering ...

statistical modelling, analysis and lightweight prototyping.Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principlesSolid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context.Strong product sense and commercial instinct - you can connect work ...

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). ...

outstrips supply. Your fast-track in Over 10 weeks, our academy takes you from graduate to job-ready pricing analyst: Python/R, SQL, statistics, Excel and insurance fundamentals, taught by trainers widely regarded as the best in UK pricing — people who have built and led pricing functions at major ...

need: Proven experience leading data science delivery in a commercial environment. Experience managing, coaching or developing technical specialists. Strong technical understanding of machine learning, statistics and applied analytics. Strong practical knowledge of Python, with strong SQL capability. Experience working with customer, behavioural, transactional or commercial data. Experience developing models such ...

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). ...

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 ...

with a natural curiosity for data Experience using SQL and at least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences ...

problem-solving skillsCandidates should have at least three of the following skills:Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutionsExperience with large scale data sets with structured or unstructured dataExperience in building user facing applications over large amounts of data using ...

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 ...

Ensure accurate data integrity across our planning tools and ERP systems. What We Are Looking For Education: Degree in Supply Chain, Business, Economics, Mathematics, Statistics, or a related field. Analytical Mindset: Excellent numerical ability and a genuine passion for problem-solving with data. Excel Skills: Strong proficiency in Microsoft Excel ...

MLOps, CI/CD, containerisation and model monitoring. Experience building data pipelines for model training, fine-tuning and inference. Solid grounding in machine learning, statistics and model evaluation techniques. Strong communication skills with the ability to engage technical and non-technical stakeholders. Commitment to responsible and ethical AI development. What ...