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).
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Business Consulting and Services, Information Services, and Technology, Information and Media
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