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Principal Data Scientist - Time Series

Discovered MENA
UK
10 months ago
Applications closed

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Principal Data Scientist (Consultancy)

Principal Data Scientist (Consultancy)

Principal Data Scientist (Consultancy)

Principal Data Scientist (Consultancy)

Principal Data Scientist (Consultancy)

Principal Data Scientist (Consultancy)

Senior Data Scientist - Time Series Forecasting (Consultancy) Location : London, UK Salary Package: 100,000 - 135,000 GBP Must be a Time Series Expert who is open to working in Riyadh OR London Discover the Role We are seeking a highly skilled Senior Data Scientist specializing in Time Series Forecasting to join our consultancy. You will work closely with clients across industries such as Logistics, Retail, Food & Beverages , and Supply Chain to deliver cutting-edge forecasting solutions. Your work will directly support critical business decisions, optimize inventory management, and improve operational efficiency through data-driven insights. Discover the Responsibilities Develop and implement advanced time series forecasting models to support clients in logistics, retail, food & beverages, and supply chain management. Analyze complex datasets to identify trends, seasonality, and patterns for predictive accuracy. Collaborate with clients and cross-functional teams to gather data requirements and deliver actionable forecasting insights. Optimize models to improve forecast precision for inventory, demand, and supply chain planning. Implement scalable forecasting systems and integrate them into clients' operational workflows. Work with cloud platforms and big data technologies to build and maintain data pipelines for large-scale forecasting projects. Present insights and recommendations to clients, driving data-backed decisions. Discover the Qualifications 5 years of experience in data science with a focus on time series forecasting, ideally within the logistics, retail, food & beverage, or supply chain sectors. Expertise in statistical modeling, machine learning, and econometrics . Proficiency in Python, R, SQL , and forecasting libraries such as Prophet, ARIMA, LSTM . Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Hadoop, Spark). Ability to communicate complex data insights clearly to both technical and non-technical stakeholders. Strong problem-solving skills with a results-driven, client-oriented approach. If you fit the above requirement of Time Series Data Scientist, APPLY Now to be considered

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