4 of 4 Part-Time Predictive Modelling Jobs in the Channel Islands

new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow … etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If youre interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist More ❯

demonstrate include: Advanced degree in a quantitative discipline. Strong programming skills in R and Python. A well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs. Ability to communicate effectively with a wide range of stakeholders and build strong business relationships as a trusted partner. Ability to deal … building and/or fine-tuning transformer-based AI models. Experience of managing the demands and various stakeholders within a highly matrixed business environment. Ability to build/maintain predictive models and explain model processes/outputs. experience with agentic AI Desirable PHD Level qualification or equivalent Sound like the role you have been looking for? The apply today More ❯

Dashboarding & Reporting Build and maintain executive-level dashboards to surface the most important insights Elevate the teams data literacy and decision-making through accessible and high-impact reporting Tooling & Predictive Analytics Support the setup and optimisation of Amplitude to improve experimentation workflows (event setup by engineering) Leverage Python and SQL to deliver predictive models and analysis where valuable More ❯

forward-looking insights into how their customer portfolio is likely to evolve over the coming years. Sales strategies and negotiations are heavily reliant on individual salesperson experience rather than predictive analytics. Additionally, the Customer Services team is structured reactively based on current conditions, rather than proactively aligned to future portfolio needs. Data Scientist Objective To scope and define how … advanced data science capabilities can enhance forecasting and strategic planning within the Mid-Market segment. The aim is to: Reduce customer churn through predictive modelling. Improve targeting and prioritisation of sales efforts. Enable proactive resource planning for Customer Services. Data Scientist Scope of Work The consultant will lead a scoping exercise to identify and prototype data science solutions that More ❯