Onebeat

Senior Data Scientist

8 April 2025
Full Time
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Deadline date:
£79000 / year

Job Description

Description

We are looking for a Senior Data Scientist to join our growing team. In this role, you will play a key part in developing and implementing advanced analytics, machine learning models, and optimization algorithms that enhance our core product offerings. You will work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to solve complex problems and drive data-driven decision-making.

What will you do:

  • Develop and enhance ML models for demand forecasting, inventory optimization, and product similarity.
  • Design and implement algorithms that improve retail and supply chain decision-making.
  • Work with large-scale datasets to extract actionable insights and drive business value.
  • Collaborate with data engineers to build scalable data pipelines and production-ready models.
  • Communicate findings and recommendations to both technical and non-technical stakeholders.
  • Stay up-to-date with the latest advancements in AI, machine learning, and optimization techniques to continuously improve our solutions.

What You Will Do

None

Requirements

Who you are:

  • Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, or a related field.
  • 5+ years of experience in data science, machine learning, or AI, preferably in a retail or supply chain domain.
  • Strong proficiency in Python and experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Expertise in predictive modeling, time series forecasting, and optimization techniques.
  • Experience working with SQL.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and deployment of machine learning models in production.
  • Ability to translate business problems into data-driven solutions.
  • Excellent problem-solving skills and strong analytical thinking.
  • Strong communication and presentation skills.

Nice to have:

  • Experience in reinforcement learning.
  • Background in retail analytics, supply chain optimization, or revenue management.
  • Experience working with big data technologies and ETLs like Spark, S3, and Kafka

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