Data Scientist

Careerwise
London
1 year ago
Applications closed

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Data Scientist

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Data Scientist

Data Scientist

Data Scientist

Data Scientist with Databricks Experience

Salary-up to £90K base + bonus + benefits

Location- Work from Home but accessible to travel to London when needed


Our client is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team.


Job Description:

Responsibilities:

  • Develop and implement data models and algorithms to solve complex business problems.
  • Utilize Databricks to manage and analyse large datasets efficiently.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights.
  • Design and build scalable data pipelines and ETL processes.
  • Perform data exploration, preprocessing, and feature engineering.
  • Conduct statistical analysis and machine learning model development.
  • Communicate findings and insights to stakeholders through data visualization and reports.
  • Stay current with industry trends and best practices in data science and big data technologies.

Requirements:

  • Proven experience as a Data Scientist or similar role.
  • Proficiency with Databricks and its ecosystem.
  • Strong programming skills in Python, R, or Scala.
  • Experience with big data technologies such as Apache Spark, Databricks.
  • Knowledge of SQL and experience with relational databases.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience).

Preferred Qualifications:

  • Advanced degree (Master's or Ph.D.) in a relevant field.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with version control systems (e.g., Git).

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