1 to 25 of 190 Permanent Statistics Jobs in the South East

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯

techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with More ❯

and review modeling projects. Stay informed on emerging industry trends and best practices to enhance team capabilities. Education Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field. Experience 2+ years of experience in data science or analytics. Proven expertise in machine learning, statistical analysis, and predictive modeling. More ❯

projects. -Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. QUALIFICATIONS Education: -Bachelors 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 More ❯

techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience More ❯

for creating insightful dashboards. o Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques More ❯

to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data More ❯

further develop our sales analysts capabilities & support them to elevate their analytic skills & outputs locally. Who you are: Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. 8+ years experience in Business Intelligence, Visualisation Engineering or related Analytics Field. Experience working in or very closely More ❯

the team’s work Build domain understanding to improve model accuracy Provide guidance to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real More ❯

non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation More ❯

non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation More ❯

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 More ❯

scientists Evaluate and integrate emerging AI technologies and research into existing systems Required Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field 7+ years of experience in AI/ML development, with at least 3 years in a leadership role Extensive experience More ❯

in valuable areas for the business. Requirements: 4+ years of experience A degree in STEM field or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript More ❯

field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or More ❯

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 More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate complex models into actionable business insights. More ❯

Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯

Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop the Data Science Team. Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high More ❯

and drive their implementation Ability to successfully build relationships with clients and stakeholders Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What’s In It For You At Accenture in addition to a competitive basic salary, you will also have an extensive More ❯

compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯

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

forefront of identifying data-led value creation strategies across the private equity lifecycle. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience with Private Equity or Strategy Consultancy Strong communication skills, with the ability to work More ❯

firm remains at the forefront of industry standards. Qualifications: Master’s degree or higher in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, or Computer Science. At least 3 years of relevant experience in risk management or quantitative research, ideally within a trading or investment environment. Strong More ❯