1 to 25 of 226 Statistics Jobs in the South East

communicate insights effectively. Stay updated on emerging AI techniques, sustainability challenges, and regulatory frameworks to enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling More ❯

Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We’re working with a respected client based in Central London … their analytical team with a bright and motivated Graduate Data Analyst . If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We’re Looking For A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Problem solving skills Experience managing large datasets using tools such as SAS, Stata, R More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy. If you are motivated to serve the needs of More ❯

Remain abreast of the latest technologies and trends in artificial intelligence and machine learning. Required Qualifications: Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering. 5+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python. Solid understanding and proficiency in working with Pandas More ❯

Social network you want to login/join with: Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 27.06.2025 Expiry Date: 11.08.2025 col-wide Job Description: Graduate Data Analyst – Mathematics, Operational Research, Statistics or Econometrics Location … their analytical team with a bright and motivated Graduate Data Analyst . If you hold a degree (or master’s) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics , and are passionate about working with data to deliver real world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We’re Looking For A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics A relevant Master’s degree is a strong advantage Advanced Microsoft Excel skills (essential) Experience managing large datasets using tools such as SAS, Stata, R, or Python Strong 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 ❯

reporting processes and improve data visualization for stakeholders. Translate complex data into actionable insights to support decision-making. Requirements: Education & Experience: Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data analyst role, preferably within secure government programs Strong understanding of RBAC and ABAC principles and their application in 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 ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation of A/B tests. • Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). • Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

Stay informed on academic and industry research to incorporate cutting-edge methodologies into strategy development. Candidate Profile Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Proven experience in quantitative research and strategy development for opening/closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm. … ethical standards and a commitment to maintaining the firm's reputation and integrity. Desired Skills and Experience Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance. Proven experience in quantitative research and strategy development for opening/closing auctions, ideally within a multi-strategy hedge fund or proprietary trading firm. More ❯

initiatives with business goals. Data storytelling: Design and maintain dashboards and visualisations that translate data into actionable insights for business stakeholders. Requirements: Bachelor’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly 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 ❯

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 ❯

technical stakeholders. • Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. • Education: • Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) ⸻ Preferred (Nice-to-Have) • Prior experience in a stealth More ❯

design sessions to help shape 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-world problems with data Strong More ❯

manuscripts, reports to funders, and other materials based on the results from research studies. You must hold a PhD/DPhil (or be near completion) in applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, earth observation, public health geography, or a similar field. You must More ❯

Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and More ❯

Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and More ❯

Experience Strong academic background, with a degree in Computer Science (2:1 and above). Strong numerical background with a knowledge of key statistical principals e.g. Bayesian and frequentist statistics, probability distributions. Fundamental understanding of ML algorithms e.g. linear and logistic regression, random forest, neural networks, time series models. Experience with multiple programming languages, with a preference for SQL and More ❯

Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space 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 ❯

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 ❯