Data Scientist – Anomaly Detection & Dashboards (SC)

mthree; Greater London; On-site; GBP 55,000 - 90,000; Full time

Job summary

mthree is seeking a proactive Data Scientist to join our client-focused team in London or Leeds, taking the lead on anomaly detection across regulatory and statistical datasets using ML techniques to surface insights and improve data quality.

The role also involves developing and maintaining interactive dashboards and visualization tools to support decision-making and transparency, with an active SC clearance required.

Qualifications

• Strong technical and quantitative skills.
• Proven ability to automate data processes and handle large data volumes efficiently.
• Experience with programming languages (R, Python, SQL) and advanced data manipulation for numerical analysis and data quality.
• Experience with Machine Learning using home-grown models and off-the-shelf AI tools (Power Automate, Copilot, etc.).
• Excellent written and oral communication; ability to collaborate and explain complex data insights.
• Commitment to an innovative and inclusive team culture with openness to experimentation.
• Experience building and maintaining dashboards for data quality monitoring and insights.

Responsibilities

• Lead anomaly detection across regulatory and statistical datasets using ML techniques.
• Develop and maintain interactive dashboards and visualization tools to support decision-making and transparency.
• Collaborate with colleagues across the team to drive efficiencies and business value.
• Build and maintain data models, pipelines and complex coding solutions.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Automation

Data Cleaning

Communication

Autonomy

Stakeholder management

Tools

Power Automate

Copilot

Power BI

Tableau

Shiny

Plotly

Dash

Job description

mthree is seeking a proactive Data Scientist to join our client-focused team in London or Leeds, taking the lead on anomaly detection across regulatory and statistical datasets using ML techniques to surface insights and improve data quality.

The role also involves developing and maintaining interactive dashboards and visualization tools to support decision-making and transparency, with an active SC clearance required.