15 of 15 Remote Predictive Modelling Jobs in Slough

days a week in office) Hours: Full Time Contract type: Permanent Salary: Competitive Company At Food Systems Innovation & Delivery (FSID), we combine cutting-edge predictive modelling with industry-grade software development to support the improvement of agricultural systems in both the developing and developed world. A key pillar … of our work focuses on predictive modelling to improve the early detection, surveillance and management of pest and disease outbreaks impacting crops that currently cause up to 40% of yield loss globally. Objective of the role We’re looking for a versatile and collaborative Geospatial Machine Learning Scientist … to explore unfamiliar tools and languages as needed. Desirable but not required: Experience with geospatial libraries (e.g., GeoPandas, GDAL). Demonstrated experience in geostatistical modelling techniques. Demonstrated experience working with spatio-temporal datasets and methods (e.g., kriging, spatial autocorrelation, trajectory analysis, or related fields). Experience with weather and More ❯

communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false More ❯

GTM in Google Analytics Experience using Big Query Nice to Haves: Experience supporting data-driven product roadmaps and experimentation programmes Familiarity with customer segmentation, predictive modeling, and machine learning Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic More ❯

decisions. Your Responsibilities: Analyse complex datasets : Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling : Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions : Create algorithms and … 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 modeling techniques and algorithms, in particular NLP , LLM's and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/ More ❯

firm. Responsibilities Lead the day to day execution and implementation of AlbionVC’s data platform. Build and manage Data Pipelines enriching company data. Create predictive models and software to surface and highlight companies which match AlbionVC’s startup criteria. Build our foundational knowledge graph, which captures the wider AlbionVC More ❯

and verbal presentations. Work closely with engineering, product, and executive teams to integrate models into production systems. Drive innovation in data usage across analytics, predictive modelling, and decision systems. What We’re Looking For: 8+ years of data science experience, including 2+ years in leadership roles. Strong background More ❯

wfh About the Role My client is seeking a Football Quantitative Analyst to join their prediction team. You will use extensive datasets to enhance predictive models, explore new methodologies, and develop solutions. This role involves a blend of in-depth analysis and innovative modelling to tackle unique challenges … of data scientists and sports analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation … Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value and utility principles. Practical problem-solving approach, balancing detail with quick More ❯

will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal … advanced analytics and AI as central pillars in the decision-making processes. Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies. Recruit, inspire, and develop a skilled team of Data Scientists while More ❯

analysing and using data from a variety of complex, high-volume structured and unstructured databases, third-party sources, and publicly available data. Understand how predictive models, machine learning, and AI algorithms are used to develop insights and identify strategies for improvement. Use technical expertise to create tactical tools and More ❯

inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies. This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability … through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions. Create dynamic pricing models … driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales, or More ❯

performance APIs and backend services using Go and Node.js 🎨 Create sleek, intuitive UIs with React and TypeScript 🔍 Work with AI & data teams to integrate predictive models and automation tools ☁️ Deploy & optimize applications on cloud platforms ( AWS, GCP ) 🏗 Own system design & architecture to ensure scalability, security, and reliability 🚀 Set best More ❯

a global leader in premium lifestyle products, specializing in apparel, accessories, home, fragrances, and hospitality. They have restructured to better leverage consumer insights and predictive analytics, driving personalized experiences at scale. To support this transformation, they are expanding their Data Science function to extract actionable insights from customer data … for business growth. Responsibilities Data Analysis: Use Dataiku and other tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer behavior and personalize marketing strategies. CRM & Intelligence: Collaborate across teams to enhance CRM strategies and generate More ❯

Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a Senior Data Scientist, you will own the product and lead the … to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world applications Using Python to build robust, scalable solutions About You: You have experience as … a Data Scientist, preferably at a start-up or fast-growing company You have a deep understanding of ML, NLP, graph databases, and predictive modeling You can work independently and enjoy taking ownership of your projects You’re not just a theorist, you can build solutions and make things More ❯

automate manual analysis, and enhance user experience across the Soldo platform. Your focus will span generative AI assistants, intelligent transaction categorisation, OCR, anomaly detection, predictive analytics, and data-driven guidance systems. You’ll work on complex problems at the intersection of finance, data, and product design—developing solutions that … data scientists and engineers to develop reliable, safe, and scalable AI-powered systems Drive initiatives such as generative assistants, personalised insights, smart alerts, and predictive models Own the delivery of machine learning products from ideation through launch, iteration, and measurement Ensure all AI capabilities are explainable, privacy-conscious, and More ❯

to develop models and trading strategies for sports markets. They currently trade Soccer, Tennis & Horse Racing, but are open to those with different sports modelling/trading experience. This role combines expertise in predictive modeling and data analysis with insights from the sports domain to create competitive models. … to work remotely and independently; the ideal person for this role will have previous experience finding edges and inefficiencies within the sports market and modelling betting strategies. My client is seeking quants/modellers to come on board and apply these models remotely, finding niches in different sports. Responsibilities … Designing predictive models for sports outcome forecasting Back-testing and refining models Collaborating with the trading team Working in a fast-moving environment Utilizing a modern data science stack, including Polars, DuckDB, and dbt Requirements: Strong mathematical foundation, ideally in probability, statistics, or machine learning Expertise in data-driven More ❯