Data Scientist

Veritas is a fast-growing data company on a mission to transform how data is used to drive innovation across life sciences, healthcare, and beyond. We create intelligent data products and analytical tools that empower our clients with actionable insights.

Founded by seasoned experts in analytics and technology, Veritas curates, indexes, and delivers high-integrity, research-ready data which benefits our clients in:

• Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies;
• Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ;
• AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints.

As a Data Scientist at Veritas, you’ll help develop and deliver data products that power our client solutions. You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure.

What You’ll Do

• Design and build models, algorithms, and dashboards to support data-driven product development.
• Work with diverse datasets (including real-world data) to extract insights and support innovation.
• Develop data pipelines and analytical tools using SQL, Python or R, and modern data platforms (e.g. Databricks, Snowflake).
• Partner with engineering teams to ensure seamless data integration and delivery.
• Engage directly with clients to understand their technical challenges and translate them into data solutions.
• Support research, validation studies, and publications that showcase the impact of Veritas products.

What We’re Looking For

• Around 2–3 years of experience in data science, analytics, or data engineering.
• Solid coding skills in Python or R, and confidence with SQL.
• Experience with cloud-based data platforms (Databricks, Snowflake, AWS, or similar).
• A strong analytical mindset and a hands-on attitude — happy building dashboards as well as models.
• Excellent communication skills, comfortable working with clients and non-technical stakeholders.
• Independent, self-motivated, and confident making decisions in a remote, fast-paced startup environment.

Bonus points for:

• Background in healthcare, pharma, or academic research.
• Experience authoring or contributing to data-focused publications.
• Interest in applying AI/ML techniques to enhance analytical processes.

Our team values autonomy, creativity, and technical excellence. If you’re someone who thrives in a dynamic environment, enjoys variety, and wants to see your work directly shape products used across the health data ecosystem — we’d love to hear from you. Apply as directed above, or contact Campbell Pratt cp@kleboejardine.com for a confidential discussion. Visa sponsorship is not available for this position.