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- Tasks: Support data integration and modelling to drive customer satisfaction and impactful insights.
- Company: Join Epistemix, a leader in data-driven decision-making.
- Benefits: Equity options, flexible time off, and health benefits for U.S. employees.
- Why this job: Make a real-world impact by revolutionising how organisations manage risk and forecast outcomes.
- Qualifications: Experience in data science, strong communication skills, and a passion for problem-solving.
- Other info: Remote position with opportunities for growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Data Scientist role at Epistemix. The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.
About Epistemix: Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation. Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world. Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value.
Responsibilities:
- Support customers' and colleagues' efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact.
- Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making.
- Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases.
- Provide guidance for proposals on feasibility of scope and how to ensure impact.
- Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform.
- Engage with customer users to provide informal support, tips, and troubleshooting.
- Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans.
- Participate in reviews with customers to document and improve measurable impact.
- Provide feedback to Product and Sales teams to align offerings with customer needs.
- Follow advancements in data science, machine learning, and healthcare analytics.
Qualifications:
- Commitment to understanding customer needs and helping them achieve goals.
- Creative mindset with a passion for tackling challenging problems with data.
- Ability to collaborate with diverse users and internal teams.
- Strong communication skills: verbal, code, visualizations, and maps.
- Strong foundation in machine learning, data modeling, and predictive analytics.
- Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred.
- Comfort working in a dynamic environment with evolving priorities and customer needs.
- Proficiency in Python and associated data science technologies.
- Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools.
- Expertise in SQL or NoSQL databases preferred.
- 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience).
- Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field.
- Experience with more than one company size or business stage preferred.
- Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.
Why Join Epistemix?
- Equity & Incentives – Participation in our stock option program.
- Flexible Time Off – Autonomy to manage your schedule and work-life balance.
- Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).
- Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.
This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.
Data Scientist in London employer: Epistemix
Contact Detail:
Epistemix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Epistemix on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills. Be ready to discuss your past projects, especially those that relate to healthcare analytics. Show us how you’ve tackled complex problems and made an impact with your work.
✨Tip Number 3
Don’t forget to showcase your soft skills! Communication is key in this role, so practice explaining your technical work in simple terms. We want to see how you can collaborate with diverse teams and support customer needs effectively.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of the Epistemix team. Let’s get you started on this exciting journey!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with data integration, modelling, and any relevant tools like Python or SQL. We want to see how your skills align with what we do at Epistemix!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love a creative mindset, so don’t hold back on showcasing your innovative approaches to problem-solving!
Communicate Clearly: Strong communication is key for this role. Make sure your written application is clear and concise. Use visuals or examples if you can, as it helps us understand your thought process better. Remember, we’re looking for clarity in both code and communication!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining the Epistemix team!
How to prepare for a job interview at Epistemix
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning, data modelling, and predictive analytics skills. Be ready to discuss specific projects you've worked on, especially those that relate to healthcare or customer needs, as this will show your understanding of the industry.
✨Understand Epistemix's Products
Familiarise yourself with Populus and Polaris, the core products of Epistemix. Knowing how these tools help organisations forecast outcomes and manage risk will allow you to speak confidently about how you can contribute to their mission during the interview.
✨Show Off Your Communication Skills
Since this role involves collaborating with diverse teams and customers, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated insights through visualisations or presentations in the past.
✨Prepare for Scenario Questions
Expect to tackle hypothetical scenarios related to data integration and modelling. Think about how you would approach a customer's problem, what data you would need, and how you would validate your models. This will demonstrate your problem-solving skills and creativity.
