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Data Scientist

Careerwise

Greater London

Remote

GBP 70,000 - 90,000

Full time

8 days ago

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Job summary

An innovative firm is seeking a skilled Data Scientist to join their remote team. This role involves developing advanced data models and algorithms to tackle complex business challenges. You will leverage your expertise in Databricks, SQL, and cloud platforms to design data pipelines and implement machine learning solutions. Collaborating with a diverse team, you'll analyze large datasets, derive actionable insights, and communicate findings effectively to stakeholders. This position offers a fantastic opportunity to work in a dynamic environment that values creativity and continuous learning, making a significant impact in the field of data science.

Qualifications

  • 5+ years of experience as a Data Scientist with expertise in Databricks.
  • Proficient in Python and R for data analysis and machine learning.

Responsibilities

  • Develop and implement data models and algorithms to solve complex problems.
  • Utilize Databricks for data processing and collaborate with team members.

Skills

Databricks
SQL
Machine Learning
Python
R
Cloud Platforms
Data Analysis
Data Visualization
Problem Solving
Communication Skills

Education

Master's or Ph.D. in Computer Science
Master's or Ph.D. in Data Science
Master's or Ph.D. in Statistics

Tools

AWS
Azure
Google Cloud
Hadoop
Apache Spark
Tableau
Power BI
Docker
Kubernetes
Git

Job description

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Base pay range

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Data Scientist (Expertise in Databricks, Neo4j) - Remote Role - up to £90K

We are looking for a skilled Sr. Data Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement advanced data models, algorithms, and solutions to complex business problems. This role requires proficiency in the Databricks ecosystem, as well as experience in working with large-scale data processing and cloud environments such as AWS, Azure, or Google Cloud.

Responsibilities:

  • Should have 5+ years of experience as a Data Scientist.
  • Develop and implement data models and algorithms to solve complex business problems.
  • Experience in machine learning models and algorithms using Databricks, Neo4j, Python, R, and big data technologies.
  • Work with cloud platforms (AWS, Azure, Google Cloud) to design and implement data pipelines and storage solutions.
  • Design and optimize SQL queries for large-scale data analysis.
  • Utilize Databricks for data processing, analytics, and collaborating with team members to build scalable solutions.
  • Leverage LLM (Large Language Models) for AI-driven projects, improving business processes and customer experiences.
  • Collaborate with data engineers to build data pipelines and integrate various data sources.
  • Analyze and interpret complex datasets to derive actionable insights and make data-driven recommendations.
  • Develop clear and concise reports and visualizations to communicate findings to both technical and non-technical stakeholders.
  • Stay current with emerging trends in machine learning, big data technologies, and cloud computing to continuously improve our solutions.

Qualifications:

  • Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields.
  • Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.).
  • Strong proficiency in Python and R for data analysis, machine learning, and data visualization.
  • In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes).
  • Expertise in SQL for querying large datasets and optimizing performance.
  • Experience working with big data technologies such as Hadoop, Apache Spark, and other distributed computing frameworks.
  • Solid understanding of machine learning algorithms, data preprocessing, model tuning, and evaluation.
  • Experience in working with LLM (Large Language Models) and NLP (Natural Language Processing) tasks is a plus.
  • Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience with Databricks machine learning workflows and automation (e.g., MLflow).
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Experience with version control tools (e.g., Git).
  • Knowledge of data visualization tools like Tableau, Power BI, or matplotlib.
  • Familiarity with DevOps practices in data science workflows.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Consulting, Information Technology, and Research
  • Industries
    Business Consulting and Services, IT Services and IT Consulting, and IT System Data Services

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