1 to 25 of 119 Statistics Jobs in the Thames Valley

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Ability to work independently and as part of a team. Strong attention to detail and commitment to data accuracy. Desired qualifications Bachelor's degree in Human Resources, Business Analytics, Statistics, Data Science, or a related field. Experience with HRIS systems ideally Salesforce and Sage. Familiarity with statistical programming languages such as R or Python. Experience in developing and implementing predictive More ❯

authentic self throughout your application journey with us. The must haves In order to be considered, you must have the following experience; Extensive demonstrable experience in applying knowledge in statistics and machine learning to real world commercial problems Experience bringing live services using machine learning and python to production. Expert knowledge of Python and relevant libraries (numpy, pandas, matplotlib, Scikit More ❯

of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques. Proven ability to handle and analyse large, complex datasets using SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science More ❯

can then make data driven decisions upon. The successful candidate will be able to demonstrate: A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.) That you live in commuting distance to Newport Pagnell 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your More ❯

can then make data driven decisions upon. The successful candidate will be able to demonstrate: A Degree in a subject with Data Analysis at its core (ie. Computer Science, Statistics, Data Science etc.) That you live in commuting distance to Newport Pagnell 3+ years' experience in a similar role and possess a genuine passion for data analysis and progressing your More ❯

and solutions to stakeholders effectively Contribute to the development of databases, software products, processes, and Quality System Documents for Centralized Monitoring Qualifications Must have: Degree in Data Science, Mathematics, Statistics, Computer Science, or equivalent; or relevant work experience and professional qualifications At least 3 years of experience in Data Management, Biostatistics, and Centralized Monitoring At least 2 years of experience More ❯

team. Ad-hoc analysis: Perform ad hoc analyses to support business departments and provide venue-specific insights for strategic decisions. Qualifications Degree in a relevant discipline (e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge of More ❯

AI and pricing, bringing innovation and cutting-edge thinking into everything we build What you can bring to our team: A strong academic background (Masters or PhD) in Mathematics, Statistics, Computer Science, or a related field Experience in pricing, AI, data science, or algorithm design, with a track record of building and deploying real-time pricing or recommendation systems Deep More ❯

ideally with experience working on Operational Analytics, a data-based consulting role, or other data strategy type positions) Education Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), Master’s Degree a plus. Tools You will have knowledge of key industry tools, SQL, Tableau and Excel. Specifically for this role that would include: Advanced SQL: You are More ❯

similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. More ❯

similar role. Proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Degree in Mathematics, Statistics, Computer Science, or a related field. #J-18808-Ljbffr More ❯

e.g. Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python/R (mandatory); MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and More ❯

and senior leadership in sales and trading. Clearly articulate complex technical issues and requirements to all stakeholders. Qualifications: PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field. Minimum 8 years of experience in a front office development role at a major investment bank. Essential Skills: Proven experience in designing, building, and More ❯

mechanisms to ensure stability. Set up logging, alerting, and monitoring to track model performance, reliability, and system health across environments. Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL 5+ years of experience as MLOps engineer or DevOps roles, working with MLOps platforms Experience More ❯

field (e.g. Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and More ❯

data insights to technical and non-technical stakeholders. Stay current with trends in data science, machine learning, and financial technologies. Requirements Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. 5–10 years of experience in data science, with at least 2 years in a leadership or senior role. Proven experience in a startup or fast More ❯