1 to 25 of 81 Statistics Jobs in the South East

peer reviews for modelling projects. - Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. Qualifications: Education: - Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Experience: - 2 or more years of experience in a data science or analytics role. - Proven experience in building machine learning models, statistical analysis, and predictive More ❯

with the product, marketing, and engineering teams to turn insights into product features and campaigns. Preferred Qualifications for the Data Scientist : Bachelors degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required. Masters degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer apps. More ❯

automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. 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 ❯

full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g. More ❯

presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder engagement 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 ❯

Data Scientist (Sponsorship Available) - GE Aerospace At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military More ❯

development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL More ❯

infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving More ❯

Support data scientists in developing complex mathematical models, while also designing and developing data visualisations in Tableau. What should you bring along? Degree in a numerical discipline (Computer Science, Statistics, or Mathematics preferred). Strong background in data analytics as a Data Analyst or Data Engineer. Expertise in data modelling from conception to optimisation. Experience in data warehouse development and More ❯

Strong python programming skills Experience of TDD (pytest or other testing framework) Desirable skills Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost More ❯

Strong background in Python, time series analysis, and machine learning. - Proficient in data visualisation, SQL, and Agile methodologies. - Skilled at handling complex, unstructured datasets. Desirable: - Degree in Data Science, Statistics, or related field. - Experience with cloud platforms (AWS, Azure, GCP), big data tools (Spark, Hadoop), and version control (Git). More ❯

Experience: Strong academic background with a minimum 2:1 Degree in Computer Science (or similar) Strong numerical background with a knowledge of key statistical principles – eg Bayesian and frequentist statistics Experience with multiple programming languages including SQL and Python Familiarity with large language models Understanding of ML algorithms This is an excellent opportunity for a Computer Science Graduate to join More ❯

engineers, and other stakeholders to align data science work with broader strategic goals under a "One Team" approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role More ❯

Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data More ❯

and deliver tailored insights. Keep up to date with the latest tools, trends, and techniques in marketing analytics. What We're Looking For A Bachelor’s degree in Marketing, Statistics, Mathematics, Business Analytics, or a related field (or equivalent work experience). Proven experience as a Data Analyst, preferably within a marketing context. Strong proficiency in Power BI (or similar More ❯

commercial teams to operationalise insights Must-Haves 3+ years' customer-insights or analytics experience in retail/FMCG Bachelor's or Master's in a quantitative discipline (e.g., Economics, Statistics, Data Science) Expert SQL skills and proficiency in Python or R for statistical modelling Hands-on dashboarding experience with Tableau or Power BI Demonstrable experience designing and analysing A/ More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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 and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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: Self-motivated with More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering 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: Self-motivated with More ❯