1 to 25 of 33 DemandTrendPermanent Statistics Jobs in Slough

experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

looking for Minimum 5 years of solid working experience in a Data Science capacity, with demonstrated experience in leading projects or initiatives. A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts More ❯

best practices in model development. Take ownership of project areas while working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience More ❯

professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian More ❯

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

into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. 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 ❯

Commercial & Open-Source Frameworks to process end to end data management life cycle for NLP, Vision, or similar AI/ML domain. • Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or Computer Science. • Ability to work independently and manage multiple task assignments. • Possess exceptional communication and presentation abilities, with proficiency in conveying intricate technical concepts to stakeholders without technical backgrounds. More ❯

Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences. Qualifications What we are looking for Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields. 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics. Ability to More ❯

strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or More ❯

Work Location: London, UK 4、Work Experience Requirement: 5-7 Years 5、Working Language: English (as Working Language) Job Requirements 1、Education: Bachelor's degree or above, major in Statistics, Mathematics, Computer Science, Economics, Marketing or related fields preferred. 2、Experience: 5-7 years of data analyst experience, retail or large e-commerce experience preferred, familiarity with online retail business More ❯

emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing teams A confident and strategic leader Excellent communication More ❯

experience with data scripting languages (e.g., Python, SQL) 2+ years in a Data Scientist role with proven experience in AI/ML Strong academic background in a quantitative discipline (Statistics, Mathematics, Computer Science, etc.) Experience in data extraction, manipulation, and analysis from multiple sources Proficiency in modern programming practices and collaborative coding Passion for working in fast-paced, high-growth More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

in fast-paced environments, balance detail with big picture thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R More ❯

who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented. What we're looking for: A strong background in Statistics, Mathematics, Economics, Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python More ❯

will play a key role in strengthening the model risk management framework and ensuring accurate implementation of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure More ❯

are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. More ❯

challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

of new ideas, tools, and learning Nice to Have Experience establishing data science workflows in a commercial setting A track record of upskilling or training others in data/statistics A desire to contribute to external thought leadership (e.g. presenting at events) What’s On Offer Competitive salary and benefits Would also consider someone on 4 days a week More ❯

the opportunity to work across multiple departments and contribute directly to business-critical processes. About You We are looking for a recent graduate with: A degree in Economics, Mathematics, Statistics or a related discipline Excellent analytical skills with strong attention to detail High IT literacy, particularly with Excel; the ability to quickly learn new systems Strong organisational skills and the More ❯

thousands of clients Design and run experiments that fuel commercial growth What you bring: 5+ years in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package More ❯

market – checking that all required data and processes are ready. During market – sporadically monitoring behaviour and performance of strategies. Qualifications Quantitative background - including Master/PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University. Required Skills Programming proficiency with at least one major programming or scripting language (Python, C++, and R More ❯

must. SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering and have solid UK based experience in a Bank or FI. There will be a 2x stage interview process, initially Teams then face to face. We More ❯

communication and collaboration skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices More ❯