Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare

Hunter Healthcare Resourcing Limited; United Kingdom; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A healthcare analytics organization is seeking a Senior Healthcare Data Modeller / Forensic Data Analyst to join their team. The role involves managing large-scale healthcare datasets and contributing to NHS population health strategies. Candidates should have expertise in PySpark, SparkSQL, and big data platforms. The organization promotes a hybrid working model and offers competitive benefits including private health insurance.

Benefits

Private health insurance

Professional development opportunities

Collaborative culture

Qualifications

• Substantial experience with large-scale healthcare datasets.
• Proficiency in PySpark and SparkSQL.
• Experience resolving data quality issues.

Responsibilities

• Contribute to the National Segmentation Dataset.
• Manage high-volume analytical pipelines.
• Develop solutions that are both technically rigorous and clinically meaningful.

Skills

Data modelling

PySpark

SparkSQL

Data quality investigation

Collaboration

Tools

Azure Synapse

Big data platforms

Job description

Senior Healthcare Data Modeller / Forensic Data Analyst – Outcomes Based Healthcare

Location

Hybrid (Tuesdays and Wednesdays in London)

N/A

Closing Date

N/A

Reference

N/A

Outcomes Based Healthcare (OBH) is seeking a highly skilled and motivated Senior Healthcare Data Modeller / Forensic Data Analyst to join our nationally recognised team. This role offers an exciting opportunity to work at the forefront of healthcare transformation, supporting the development of data-driven solutions that improve population health and service delivery across the NHS.

As a Senior Data Modeller at OBH, you will contribute to the continued development of the National Segmentation Dataset, a key asset underpinning NHS England’s population health strategy. You will take ownership of complex data modelling tasks, translating clinical definitions into robust, testable logic, and managing high-volume analytical pipelines that integrate more than 31 billion raw health records. This work is critical to enabling evidence-based decision making, proactive care delivery, and improved health outcomes on a national scale.

The successful candidate will have substantial experience working with large-scale healthcare datasets, preferably within the NHS or UK health sector. Proficiency in PySpark, SparkSQL, and experience working within Azure Synapse or equivalent big data platforms is essential. You will be adept at investigating and resolving data quality issues, collaborating with clinical and technical colleagues, and developing solutions that are both technically rigorous and clinically meaningful.

OBH offers a unique working environment that blends innovation with mission-driven purpose. We operate a four-day working week while offering full-time compensation, and our team benefits from private health insurance, regular professional development opportunities, and a culture of collaboration and continuous learning. Our work has contributed to national health strategy, peer-reviewed research, and award-winning innovations in healthcare analytics.

To apply, please submit a full CV and a personal statement (no more than two A4 pages) outlining your interest in the role and the experience you would bring. Contact details for three referees should also be included (references will not be contacted without prior consent). Applications should be sent to: [e-mail] . For an informal discussion about the post, please contact Brendan Davies at Hunter Healthcare via [e-mail] or on 07585 356985.