11 of 11 Statistical Analysis Jobs in Slough

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics … get involved in company-wide initiatives and developments; and contribute to internal and external meetings with ideas and suggestions. You must: have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data; have excellent communication skills and can easily and clearly explain complex concepts in plain English; have experience leading … what makes people, consumers and businesses tick; Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression; Technical must-haves: You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

Portfolio Manager to research & develop alpha strategies. Responsibilities: Leverage large, diverse datasets—including physical commodity data, supply/demand indicators, shipping flows, weather patterns, and macroeconomic variables—to uncover statistical patterns. Collaborate closely with other researchers to refine methodologies, exchange insights, and improve research workflows. Design and implement signals within a robust global execution framework, ensuring they are production … generation and signal development to backtesting, implementation, and live deployment. Requirements: Advanced degree in a quantitative discipline such as data science, statistics, mathematics, physics, or engineering. Strong background in statistical analysis, machine learning, or AI techniques—especially as applied to time series or macro/commodity data. Experience working with large, unstructured datasets across varying timeframes, ideally within More ❯

or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. … consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries Strong analytical skills with proficiency in data modelling, statistical analysis and Excel. In-depth knowledge of compensation practices. Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations. Experience could be from More ❯

Business Insight & Visualization Partner with business units to understand investment management data needs and deliver impactful analytics solutions. Collect, analyze, and interpret large datasets using SQL and advanced data analysis techniques. Design and develop dashboards and reports in Tableau and Power BI to communicate insights clearly to stakeholders. Create data-driven recommendations to enhance portfolio management, risk assessment, and … and visualization best practices. Manage analytics roadmaps and prioritize projects that deliver high business impact. Skills & Qualifications: Technical Skills: Tableau, Power BI, SQL, advanced Excel, data modeling, data transformation, statistical analysis. Domain Expertise: deep understanding of the asset management industry, investment operations business model, and investment process, data, and systems flow. Able to help shape a vision for transforming More ❯

recommend solutions independently. Successful experience working on multiple projects with competing deadlines. Proven relationship builder, including senior stakeholders. Ability to complete tasks accurately with strong attention to detail and statistical analysis. Excellent organisational and prioritisation skills. Our offer At Kantar Media we have an integrated way of rewarding our people based around a simple, clear, and consistent set of More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯