Data Science and Machine Learning Manager

1 month ago

London, Greater London, United Kingdom Datatech Analytics Full time
Data Science and Machine Learning Assistant Manager

We are seeking a highly skilled and experienced Data Science and Machine Learning Assistant Manager to join our team at Datatech Analytics. As a key member of our data science team, you will be responsible for providing data analytics and data science services that generate meaningful insights, helping clients understand their business risks and key drivers.

Key Responsibilities:
  1. Develop and implement data science and machine learning tools to meet the evolving needs of the organisation.
  2. Collaborate with clients in managing large datasets through effective handling, manipulation, analysis, and modeling.
  3. Provide data analytics and data science services using tools such as Python, R, Azure, Databricks, SQL, Tableau, and Power BI.
  4. Review and enhance both internal and third-party data science and cloud solutions.
  5. Develop and implement innovative data science and machine learning tools to meet the evolving needs of the organisation.
  6. Collaborate with clients in managing large datasets through effective handling, manipulation, analysis, and modeling.
  7. Proficiency in Python, including libraries such as pandas, numpy, and scikit.
  8. Solid understanding of the mathematical, probability, and statistical principles behind machine learning models.
  9. Experience with deploying common machine learning algorithms (both supervised and unsupervised).
  10. Excellent communication and data presentation skills, with the ability to share technical concepts in an accessible way for all audiences.
  11. End-to-end experience on at least one data science project, including data wrangling, feature engineering, model training, and validation.
  12. Ability to apply data science principles with a business-focused perspective.
  13. Understanding of Large Language Models, generative AI frameworks, prompt engineering, and fine-tuning.
  14. Knowledge of software engineering best practices, including test-driven development and effective data structures.
  15. Experience with cloud environments (Azure, AWS) and tools like Azure Databricks, MLflow, and ML services.
  16. Experience in Agile development teams.
  17. Front-end development experience (React, Django) is a plus.
  18. Background in delivering data science and machine learning projects within the financial industry or complex organizations.

If you are passionate about data science and machine learning, and want to be part of a dynamic team that values diversity and collaboration, we encourage you to apply.

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