Data Analyst (with AI & ML Exposure) at 6soft ltd
Romford RM6 4LJ, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

09 Dec, 25

Salary

40375.0

Posted On

09 Sep, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Tableau, Statistics, Power Bi, Excel, Presentation Skills, Looker, Sql, Computer Science, R, Python

Industry

Information Technology/IT

Description

We’re looking for a skilled and curious Data Analyst with a passion for data storytelling and a strong interest or experience in AI/ML techniques. You’ll be working closely with cross-functional teams including Data Science, Product, and Engineering to analyze complex datasets, build insightful reports, and contribute to the development and evaluation of machine learning models.

REQUIREMENTS:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 3+ years of experience in a data analyst or similar role.
  • Proficient in SQL, Excel, and at least one programming language (Python or R preferred).
  • Experience with data visualization tools (Power BI, Tableau, Looker, etc.).
  • Familiarity with machine learning concepts and frameworks (e.g., Scikit-learn, TensorFlow, or similar).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and presentation skills.
    Job Type: Permanent
    Pay: £34,445.00-£40,375.00 per year

Work authorisation:

  • United Kingdom (required)

Work Location: Hybrid remote in Romford RM6 4L

How To Apply:

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Responsibilities
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.
  • Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Looker.
  • Collaborate with data scientists to prepare and validate datasets for machine learning models.
  • Conduct exploratory data analysis (EDA) and communicate findings clearly to technical and non-technical stakeholders.
  • Assist in building and evaluating predictive models and AI prototypes.
  • Create automated data pipelines and contribute to data engineering tasks where needed.
  • Interpret and present model results and performance metrics in a business context.
  • Stay up-to-date with AI trends, data privacy regulations, and industry best practices.
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