Data Scientist (Remote)

Data Scientist (Remote)

Posted Today by Jobs Ai

Negotiable
Undetermined
Remote
United Kingdom

Summary: The Data Scientist role is a remote position focused on transforming data into actionable insights through analysis and model building. The candidate will work with large datasets and collaborate with various teams to support data-driven decision-making. Strong analytical skills and proficiency in programming languages are essential for success in this role. The position offers a flexible work environment and opportunities for professional growth in data science and analytics.

Key Responsibilities:

  • Collect, clean, and analyze structured and unstructured data.
  • Build statistical, predictive, or machine learning models to solve business problems.
  • Identify trends, patterns, and opportunities from data.
  • Design experiments, measure outcomes, and evaluate results.
  • Create dashboards, reports, and visualizations to communicate insights.
  • Work with product, engineering, operations, and business teams to support data-driven decisions.
  • Improve data quality, processes, and analytical workflows over time.

Key Skills:

  • Experience in data science, analytics, statistics, or a related technical field.
  • Strong analytical and problem-solving skills.
  • Proficiency in SQL and at least one programming language such as Python or R.
  • Experience working with datasets, reporting tools, or data visualization platforms.
  • Ability to explain technical findings in a clear and simple way.
  • Comfortable working independently in a remote environment.
  • Experience with machine learning, experimentation, or forecasting (preferred).
  • Familiarity with business metrics, dashboards, and reporting (preferred).
  • Experience working with cloud data platforms or large-scale datasets (preferred).
  • Strong collaboration skills across technical and non-technical teams (preferred).

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role: Data Scientist (Remote)

Location: Remote

Payout: $50 - $150/hour

Role Overview

We are looking for a curious, analytical, and detail-oriented Data Scientist to help turn data into actionable insights. In this role, you will work with large datasets, build analytical models, and support decision-making across teams. The ideal candidate is comfortable working remotely, solving complex problems, and communicating findings clearly.

Key Responsibilities

  • Collect, clean, and analyze structured and unstructured data.
  • Build statistical, predictive, or machine learning models to solve business problems.
  • Identify trends, patterns, and opportunities from data.
  • Design experiments, measure outcomes, and evaluate results.
  • Create dashboards, reports, and visualizations to communicate insights.
  • Work with product, engineering, operations, and business teams to support data-driven decisions.
  • Improve data quality, processes, and analytical workflows over time.

Required Skills & Qualifications

  • Experience in data science, analytics, statistics, or a related technical field.
  • Strong analytical and problem-solving skills.
  • Proficiency in SQL and at least one programming language such as Python or R.
  • Experience working with datasets, reporting tools, or data visualization platforms.
  • Ability to explain technical findings in a clear and simple way.
  • Comfortable working independently in a remote environment.

Preferred Qualifications

  • Experience with machine learning, experimentation, or forecasting.
  • Familiarity with business metrics, dashboards, and reporting.
  • Experience working with cloud data platforms or large-scale datasets.
  • Strong collaboration skills across technical and non-technical teams.

What We Offer

  • Remote and flexible work environment.
  • Opportunity to work on meaningful, data-driven projects.
  • Exposure to modern tools, datasets, and business challenges.
  • Growth opportunities in analytics, data science, and machine learning.

Equal Opportunity Employer

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.