At a Glance
- Tasks: Lead the development of predictive ML models to decode patient behaviours.
- Company: Surgo Health, a public benefit corporation focused on impactful healthcare solutions.
- Benefits: Competitive pay, generous PTO, health coverage, and professional growth opportunities.
- Other info: Join a diverse team in a fast-paced, entrepreneurial environment.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology.
- Qualifications: 5+ years in predictive ML, proficient in Python and Databricks.
The predicted salary is between 60000 - 80000 € per year.
We are looking for a senior data scientist to spearhead the development, expansion, and scientific rigor of BehavioralPulse™, Surgo Health’s flagship behavioral data product driven by large-scale predictive ML. BehavioralPulse™ decodes the WHY behind patient behaviors by combining hundreds of proprietary indicators at massive scale, across all US adults.
Responsibilities
- Lead predictive machine learning development and validation efforts to enhance the BehavioralPulse™ asset and ensure scientific rigor.
- Build, optimize, and deploy hundreds of models predicting patient behaviors using Databricks and Python.
- Identify and integrate new data sources to enrich BehavioralPulse™ with novel socio-behavioral indicators, including geospatial data.
- Work cross-functionally with Product, Client Engagement, and R&D teams to deliver BehavioralPulse™ powered solutions to pharma clients.
- Promote responsible AI practices by validating model performance across key demographic groups and ensuring fairness and accuracy.
About you / Qualifications
- You have at least 5 years of experience building and validating predictive machine learning models.
- You are highly proficient in Python and Databricks.
- You are well-versed in ML engineering practices.
- You do not need to have healthcare expertise, but expertise in modeling human behavior is a plus.
- You have strong opinions and are willing to voice them when it comes to building trusted data pipelines, machine learning models, and data assets.
- You enjoy working in a fast-paced, entrepreneurial environment where you can both lead strategically and build hands-on.
Location and travel
- Location: Hybrid in London, UK (Mon + Thu office days).
- Travel: Some travel (up to 10%) possible.
Benefits
- Fantastic, fun and collaborative colleagues; opportunity to solve tough challenges in healthcare.
- Ability to be entrepreneurial and tremendous opportunities for growth.
- Public Benefit Corporation with an impact and equity mission.
- Competitive compensation and health benefits.
- Generous PTO, 10+ holidays.
- 80% of your medical premiums covered.
- 100% of your dental and vision premiums covered.
- Highly competitive 401K.
- Professional Development opportunities.
Surgo Health is committed to fair, equitable, and transparent practices. Compensation packages are based on several factors such as skill set, prior relevant experience, education, certifications, and market considerations. In addition to base compensation, individuals may be eligible for annual performance-based bonuses and equity (if applicable). We aim to pay salaries that are competitive, benchmarked against companies that are similar in stage, size, and market to Surgo Health. Our recruiter may be able to share more about our total rewards offerings for the relevant role during the hiring process.
Our hiring philosophy
We hire for passion and core competencies. We look for problem-solvers and lateral thinkers. We love it if you have done different things with your time. If you think you are ideal for this position, write to us even if your experience doesn’t match all the requirements listed above.
Equal Opportunity and Diversity Policy
Surgo believes a diverse, inclusive staff makes a stronger team and more impactful organization and we are committed to building and developing this team and environment. Qualified people of all races, ethnicities, cultures, ages, sex, genders, sexual orientation, gender identities and expressions, languages, social class, marital status, religions, veterans status, and disabilities are strongly encouraged to apply.
Senior Data Scientist / ML Engineer employer: Surgo Health
Surgo Health is an exceptional employer that fosters a collaborative and entrepreneurial work culture, particularly for those in the Senior Data Scientist / ML Engineer role. With a strong commitment to employee growth, competitive compensation, and generous benefits, including extensive PTO and health coverage, our London-based team thrives on solving complex healthcare challenges while promoting diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist / ML Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive ML models and projects. This gives potential employers a taste of what you can do, especially in Python and Databricks.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly; it’s all about showing how you tackle problems.
✨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 hearing from passionate candidates who want to make an impact.
We think you need these skills to ace Senior Data Scientist / ML Engineer
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data science and machine learning shine through. We want to see your passion for solving complex problems and how you can contribute to our mission at Surgo Health.
Tailor Your CV:Make sure to customise your CV to highlight relevant experience in predictive modelling and Python. We love seeing how your unique background aligns with the role, so don’t hold back on showcasing your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your work with machine learning models and how you’ve driven results in previous positions. We want to know what makes you tick!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Surgo Health!
How to prepare for a job interview at Surgo Health
✨Know Your Models Inside Out
Make sure you can discuss the predictive machine learning models you've built in detail. Be ready to explain your approach to validation and how you ensure scientific rigor. This will show that you not only understand the technical aspects but also the importance of accuracy in patient behaviour predictions.
✨Showcase Your Python and Databricks Skills
Prepare to demonstrate your proficiency in Python and Databricks during the interview. You might be asked to solve a problem or discuss a project where you used these tools. Having specific examples ready will help you stand out as a candidate who can hit the ground running.
✨Emphasise Cross-Functional Collaboration
Since the role involves working with various teams, be prepared to share experiences where you've successfully collaborated with product, client engagement, or R&D teams. Highlight how your contributions led to successful outcomes, showcasing your ability to work in a fast-paced environment.
✨Discuss Responsible AI Practices
Be ready to talk about how you promote fairness and accuracy in your models. Discuss any experiences you have validating model performance across different demographic groups. This will demonstrate your commitment to ethical AI practices, which is crucial for the role.
