2 of 2 Remote Data Scientist Jobs in Guernsey

Data Scientist - Outside IR35 - Energy Sector 3 months initial contract Outside IR35 Remote based Our client as a business segment that currently lacks robust, 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 address the following (but not limited to): Churn prediction : Identify customers at risk of leaving and the drivers behind churn. Sales forecasting : Model future sales volumes and customer acquisition trends. More ❯

Data Scientist (Pricing & Forecasting) Paying up to 80k + 10% bonus Fully remote - office in London if preferred. One of La Fosses best clients who are an industry leader within the entertainment space are currently hiring for a talented Data Scientist to join the team. Even though this company are a global brand, you will be … of responsibility and play a leading role in building new and developing existing pricing models. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform across the UK and the USA. As a Data Scientist, you will leverage their extensive … quest data to enhance pricing decisions through dynamic pricing models, supporting the revenue management teams, below are the extended responsibilities: Key Responsibilities: Develop and enhance the revenue management application. Utilize our data platform to support and automate decision-making processes. Forecast customer demand and evaluate the impact of various price management models. Create visualisations and dashboards to communicate More ❯