3 of 3 Remote/Hybrid Contract Statistical Modelling Jobs

understanding the data, testing hypotheses, and developing proof-of-concept solutions that can later be transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques … classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work with text data including titles, summaries and free-text fields Apply NLP techniques (embeddings, similarity, topic modelling, classification) Develop semantic search and matching approaches Translate ambiguous problems into analytical solutions Evaluation & Insight ...

Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions. In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth. Key Responsibilities Insight & Modeling … What We're Looking For Experience: 5+ years of relevant data science experience, with strong proficiency in Python . Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing. Visualization: Demonstrated experience building data dashboards and automated reporting tools. Leadership & Communication: Exceptional active listening and stakeholder management ...

productionise scalable end-to-end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. Combine the EDU rSAM with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Deliver high-impact strategic insights on market opportunity sizing and customer propensity … strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling. Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance. Experience ...