Work Type: Full Time - Hybrid (3 days in office)
La Fosse is proud to partner with a rapidly growing international company operating in the retail and service sectors. The organisation is undergoing a digital transformation and is seeking a
Lead Data Scientist
to drive innovation and unlock the value of their data. As a Lead Data Scientist, you’ll work with diverse datasets, develop machine learning models, and deliver actionable insights to optimise business performance and operations. Key Responsibilities: Building hypotheses and validating their business impact. Developing machine learning models and optimisation pipelines. Leverage advanced statistical and machine learning techniques to build accurate forecasting models, enabling data-driven decision-making and optimising business operations. Develop and refine dynamic pricing models to maximise revenue and profitability, incorporating market trends, customer behaviour, and competitive analysis. Translating technical data into actionable recommendations for stakeholders. Designing interactive dashboards using Power BI to visualise real-time insights. Collaborating with the Data Engineering team to create scalable data solutions. Core Technical Skills: 3+ years
of experience in
data science/advanced analytics or machine learning
role. Strong programming skills in
Python ; familiarity with
Azure
and
Power BI
is essential. Experience in
regression analysis, classification, clustering, and feature engineering . Proven ability to deliver
high-impact insights
and present to senior stakeholders. Experience building accurate forecasting models, enabling data-driven decision-making and optimising business operations. Experience building dynamic pricing models to maximise revenue and profitability, incorporating market trends, customer behaviour, and competitive analysis. Benefits: Competitive salary up to £80,000 Hybrid working (3 days in office) Generous annual leave N.B:
Unfortunately, visa sponsorship is unavailable for this role. If interested, please apply and submit your CV (Latest 30th Nov). Alternatively, email your updated CV to alex.heath@lafosse.com.
#J-18808-Ljbffr
Lead Data Scientist
to drive innovation and unlock the value of their data. As a Lead Data Scientist, you’ll work with diverse datasets, develop machine learning models, and deliver actionable insights to optimise business performance and operations. Key Responsibilities: Building hypotheses and validating their business impact. Developing machine learning models and optimisation pipelines. Leverage advanced statistical and machine learning techniques to build accurate forecasting models, enabling data-driven decision-making and optimising business operations. Develop and refine dynamic pricing models to maximise revenue and profitability, incorporating market trends, customer behaviour, and competitive analysis. Translating technical data into actionable recommendations for stakeholders. Designing interactive dashboards using Power BI to visualise real-time insights. Collaborating with the Data Engineering team to create scalable data solutions. Core Technical Skills: 3+ years
of experience in
data science/advanced analytics or machine learning
role. Strong programming skills in
Python ; familiarity with
Azure
and
Power BI
is essential. Experience in
regression analysis, classification, clustering, and feature engineering . Proven ability to deliver
high-impact insights
and present to senior stakeholders. Experience building accurate forecasting models, enabling data-driven decision-making and optimising business operations. Experience building dynamic pricing models to maximise revenue and profitability, incorporating market trends, customer behaviour, and competitive analysis. Benefits: Competitive salary up to £80,000 Hybrid working (3 days in office) Generous annual leave N.B:
Unfortunately, visa sponsorship is unavailable for this role. If interested, please apply and submit your CV (Latest 30th Nov). Alternatively, email your updated CV to alex.heath@lafosse.com.
#J-18808-Ljbffr
