At a Glance
- Tasks: Design and build models, algorithms, and dashboards to drive innovation in data products.
- Company: Fast-growing data company transforming data use in life sciences and healthcare.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Join a dynamic team valuing creativity and technical excellence.
- Why this job: Make a real impact by shaping products that enhance health data solutions.
- Qualifications: 2-3 years in data science, strong coding skills in Python or R, and SQL experience.
The predicted salary is between 28800 - 48000 £ per year.
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.
Data Scientist in Stockport employer: Veritas Data Research
Veritas is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Data Scientists looking to make a meaningful impact in the healthcare and life sciences sectors. With a focus on employee growth, Veritas offers opportunities to work with cutting-edge data technologies and engage directly with clients, ensuring that your contributions are valued and visible. The dynamic and remote-friendly environment encourages autonomy and creativity, allowing you to thrive while shaping the future of data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Stockport
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, models, and dashboards. This is your chance to demonstrate your coding prowess in Python or R and your analytical mindset — make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how you can contribute to their mission of transforming data usage in healthcare and life sciences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search — it shows initiative!
We think you need these skills to ace Data Scientist in Stockport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role at Veritas. Highlight your coding skills in Python or R, and any experience with SQL and cloud platforms like Databricks or Snowflake.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our mission at Veritas. Share specific examples of your past work that demonstrate your analytical mindset and hands-on attitude.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing how you've applied your skills in real-world scenarios, especially in healthcare or analytics.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Veritas Data Research
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python or R and SQL. Be ready to discuss your past projects and how you've used these skills to solve real-world problems, particularly in healthcare or life sciences.
✨Show Off Your Analytical Mindset
Prepare to demonstrate your analytical thinking during the interview. Think of examples where you've designed models or built dashboards that led to actionable insights. Veritas is looking for someone who can blend engineering with analytics, so highlight your hands-on experience.
✨Engage with Real-World Scenarios
Familiarise yourself with the types of datasets Veritas works with. Be prepared to discuss how you would approach extracting insights from diverse datasets and how you can support innovation in their products. This shows you're not just technically skilled but also understand the business context.
✨Communicate Like a Pro
Since you'll be engaging with clients and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think about how you can convey your ideas clearly and effectively, as strong communication skills are key to success in this role.
