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: Hybrid work model in London with a collaborative and entrepreneurial culture.
- 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 BehavioralPulseTM, Surgo Health's flagship behavioral data product driven by large-scale predictive ML. BehavioralPulseTM decodes the WHY behind patient behaviours 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 BehavioralPulseTM asset and ensure scientific rigor.
- Build, optimize, and deploy hundreds of models predicting patient behaviours using Databricks and Python.
- Identify and integrate new data sources to enrich BehavioralPulseTM with novel socio-behavioural indicators, including geospatial data.
- Work cross-functionally with Product, Client Engagement, and R&D teams to deliver BehavioralPulseTM 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 modelling human behaviour 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 organisation 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 in London employer: Surgo Health
Surgo Health is an exceptional employer that fosters a collaborative and entrepreneurial work culture, allowing Senior Data Scientists to tackle challenging problems in healthcare while driving impactful change. With a strong commitment to employee growth, competitive compensation, and generous benefits, including extensive professional development opportunities and a focus on diversity and inclusion, Surgo Health provides a rewarding environment for those looking to make a difference in patient behaviour analytics. The hybrid work model in London further enhances work-life balance, making it an attractive place for innovative minds.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist / ML Engineer in London
✨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 with 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 seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist / ML Engineer in London
Some tips for your application 🫡
Show Your Passion:We want to see your enthusiasm for data science and machine learning! Make sure to highlight any projects or experiences that showcase your passion for predictive modelling and how you've tackled challenges in the past.
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to the Senior Data Scientist role. Mention specific skills like Python and Databricks, and how they relate to our BehavioralPulseTM product.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point without unnecessary fluff.
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 on joining our team!
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 and validated in detail. Be ready to explain your approach, the challenges you faced, and how you overcame them. This shows not only your technical expertise but also your problem-solving skills.
✨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 coding challenge or discuss specific projects where you used these tools. Brush up on relevant libraries and frameworks that are commonly used in ML engineering.
✨Understand the Importance of Responsible AI
Familiarise yourself with responsible AI practices, especially around model performance across different demographic groups. Be prepared to discuss how you ensure fairness and accuracy in your models, as this is crucial for the role and aligns with the company's values.
✨Be Ready to Collaborate
Since the role involves working cross-functionally, think of examples where you've successfully collaborated with other teams. Highlight your communication skills and how you can bridge the gap between technical and non-technical stakeholders to deliver impactful solutions.
