Senior Data Analyst

CALIBRE Systems, Inc.; United Kingdom; On-site; GBP 95,000 - 113,000; Full time

Job summary

A leading solutions firm in the United Kingdom is seeking a highly motivated Senior Data Scientist to join their dynamic team supporting a federal client. In this role, you will analyze trends, develop predictive models, and collaborate across teams to deliver scalable digital solutions. Candidates should have expertise in data visualization and statistical analysis, along with a Master's or Ph.D. in a relevant field and experience in federal project settings. A competitive salary and full benefits package are offered.

Benefits

Competitive salary

Full benefits package

Qualifications

• 5+ years of experience with Federal agencies, preferably in healthcare projects.
• Extensive experience in quantitative research and predictive analytics.
• Proven ability to manage complex data-centric projects.

Responsibilities

• Analyze data to identify trends and provide actionable insights.
• Develop and validate predictive models using machine learning techniques.
• Collaborate with engineers and stakeholders to deliver scalable solutions.

Skills

Data visualization tools (Tableau, Power BI, D3.js)

Statistical analysis

Predictive modeling

Data governance principles

Communication of complex insights

Collaboration with teams

Handling sensitive healthcare data

Data privacy knowledge (PII/PHI)

Education

Master’s or Ph.D. in Data Science, Computational Science, Statistics

Tools

AWS data solutions

Job description

CALIBRE Systems, Inc.

Senior Data Scientist at CALIBRE Systems, Inc., an employee‑owned mission‑focused solutions and digital transformation company, is looking for a highly motivated senior data scientist to join our dynamic team supporting a federal client. This role requires an innovative and collaborative mindset, with the ability to work closely with designers, back‑end engineers, and business stakeholders to deliver high‑quality, scalable digital solutions. The budgeted salary for this role is $150,000 per year.

Responsibilities

• Collect and analyze statistics and information from multiple sources to identify trends and provide actionable insights that give the organization a competitive advantage.
• Define success metrics for analytical initiatives and manage the end‑to‑end lifecycle of deployed models.
• Communicate informed conclusions and recommendations across the organization’s leadership structure.
• Strategize and identify unique opportunities to locate and collect new data; explore and mine data from multiple angles to determine meaning and business impact.
• Present data findings to both business and IT leaders to influence organizational strategies for addressing evolving customer needs and market changes.
• Discover and recommend new uses for existing data sources; design, modify, and build new data processes.
• Build large, complex datasets and develop scalable data research solutions on and off the cloud.
• Conduct statistical modeling, experiment design, and validate predictive models.
• Develop advanced data visualizations and dashboards to communicate insights effectively.
• Develop, train, and validate predictive models using established machine learning techniques.
• Use data science techniques to solve analytical problems with incomplete datasets and implement automated processes for producing scalable models.
• Collaborate with database engineers and other scientists to refine and scale data management and analytics workflows, systems, and best practices.
• Train data management teams and more junior data scientists on updated procedures and write quality documentation.
• Lead ML engineering efforts, including feature design, model selection, and performance optimization.
• Define model lifecycle requirements (evaluation, retraining criteria, and acceptance thresholds).
• Partner with Data Engineering to ensure models are production‑ready and reliable.

Required Skills

• Expertise in data visualization tools and techniques (e.g., Tableau, Power BI, D3.js).
• Strong proficiency in statistical analysis and predictive modeling.
• Advanced knowledge of data governance principles, including compliance and security standards.
• Ability to communicate complex technical insights to non‑technical stakeholders using clear visualizations and storytelling.
• Strong collaboration skills for working with cross‑functional teams and leadership.
• Ability to properly handle and mask sensitive healthcare data to meet Federal data compliance standards.
• Basic working knowledge of Data privacy (specifically PII/PHI), the software development life cycle, Federal data policies, the Tricare Military Health System.

Required Experience

• Advanced degree (Master’s or Ph.D.) in Data Science, Computational Science, Statistics, or a related field.
• Extensive experience in quantitative research, statistical modeling, and predictive analytics.
• Proven ability to manage complex data‑centric projects, specifically within federal or regulated environments.
• 5+ years of experience working with Federal agencies (preferably healthcare and/or data‑centric projects).
• Experience with AWS cloud‑based data solutions and scalable architectures (AWS Certification Preferred).
• Active Secret Clearance at the Department of Defense (or eligibility to obtain a clearance).
• Ability to work east coast business hours (8am‑5pm).
• Active Security+ certification.

CALIBRE and its subsidiaries are an Equal Opportunity Employer and supports transitioning service members, veterans and individuals with disabilities. We offer a competitive salary and full benefits package. To be considered, please apply via our website at www.calibresys.com. Come join our dynamic team.