Senior Data Scientist / ML Engineer

Senior Data Scientist / ML Engineer Department: Data Science and AI Employment Type: Full Time Location: London, UK Description 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. You will lead the technical evolution of BehavioralPulse™ — refining its machine learning models, integrating new data sources, overseeing validation studies, and ensuring real-world applicability for healthcare use cases. This role demands effective execution across analytics, modeling, engineering, and validation, working closely with our R&D, Product, and Client Engagement teams. This is a rare opportunity to have outsized impact: Surgo’s BehavioralPulse™ data is core to our mission and it powers our products like Mosaic™ and our consulting services. You’ll work in a team of driven data scientists, researchers, and behavior scientists to bring patient-centered decision making across clinical trials, medical affairs, and commercial pharma. What you’ll achieve: ● 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: ● 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: This role is 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.