Data Scientist - onsite London - PhD preferred

HCN UK Management Services Ltd; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Annual bonus

Employee stock purchase program

Pension scheme

Tuition assistance

Medical/Dental/Vision coverage

Professional growth

Job summary

Welltower in London is seeking a Data Scientist to join the team onsite. You will work with US/Canada data science colleagues and UK investment teams to apply machine learning and predictive analytics to real estate assets.

The role emphasizes building high-quality prediction systems, analyzing data from diverse sources, and guiding capital allocation in the UK.

PhD or Masters in relevant fields, strong Python/R skills, and excellent communication are required.

Qualifications

• PhD or Masters in Mathematics, Statistics, Economics, or Financial Analysis with a focus on Predictive Analytics solution.
• Strong experience with predictive analytics and machine learning.
• Proficiency in Python or R and data visualization tools.
• Excellent communication with business and technology partners.

Responsibilities

• Develop ML models to support UK asset management decisions.
• Integrate data from multiple sources for predictive insights.
• Collaborate with cross-border teams to validate findings.
• Present results to UK stakeholders and drive data-informed actions.

Skills

Data analytics

Machine learning

Python

Mathematical modeling

Education

PhD in Mathematics

Masters in Statistics

Tools

Python

R

Tableau

PowerBI

Job description

Data Scientist - onsite London - PhD required

Job Category: Indiv Contributor-Slry

Requisition Number: DATAS003457

• Posted : September 9, 2026
• Full-Time
• On-site

Locations

Showing 1 location

London, UK W1W7NY, GBR

Description

WELLTOWER – REIMAGINE REAL ESTATE WITH US

At Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday.

We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team.

ABOUT THE ROLE

The Data Scientist will work with the current Data Science team in the US/Canada, along with the investment/asset management team in the UK, and integrate information from various sources and analyze it for better understanding about how the business performance can be enhanced, and to analyze output from AI and ML tools that automate certain processes for capital allocation in the UK.

The Data Scientist will report to the Lead Data Scientist in the US/Canada and have a dotted line to the Head of Investment in the UK, and will help us discover the information hidden in vast amounts of data, and help us make smarter investment and asset management decisions. The primary focus of this role will be in applying machine learning and predictive analytics techniques, doing statistical analysis, and building high-quality prediction systems integrated with our business model. This role will support and challenge the investment and asset management team in understanding locations across the UK where we have potential deals and where we will manage our existing assets.

KEY RESPONSIBILITIES

• Assist the Business Insights team with Welltower’s data and analytics strategy and predictive analytics application for UK asset management and investment teams
• Work with the investment and asset management team to guide them to the right location/market based on the data science platform
• Selecting features, building and optimizing classifiers using machine learning techniques
• Extending company’s data with third party sources of information as and when needed and integrate the third-party data into the Welltower data science models
• Analyzing the output of the predictive analytics model to make meaningful information valuable to UK investment process and challenge the UK investment team’s thesis with data backed analysis
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results to the UK team

OTHER DUTIES

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, and responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

TRAVEL

Minimal travel should be expected.

MINIMUM REQUIREMENTS

Experience:

• Knowledge of data and analytics landscape and with at least 2 years of work experience
• Strong technical skills to include a deep understanding of (but not limited to): Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect
• Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc.
• Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least one of these is highly desirable
• Experience with data mining and data visualization tools, such as Alteryx, Tableau, PowerBI etc.
• Applied statistics skills, such as distributions, correlation, statistical testing, regression, etc.
• Excellent verbal and written communication skills with business and technology partners.
• Familiarity with Real Estate, Finance and/or Healthcare industries systems and specialist in business consolidation in diverse source systems.
• Knowledge of enterprise profitability and business planning and forecasting.

Education:

• PhD or Masters in Mathematics, Statistics, Economics, or Financial Analysis with a focus on Predictive Analytics solution.
• Background in Computer Science, Information Systems, Engineering, Statistics or related field is required.

Employment is contingent upon the successful completion of a background check and verification of employment, education, and other credentials relevant to the position.

WHAT WE OFFER

• Competitive Base Salary + Annual Bonus
• Generous Paid Time Off and Holidays
• Employee Stock Purchase Program – purchase shares at a 15% discount
• Pension Scheme + Profit Sharing Program
• Tuition Assistance Program
• Comprehensive and progressive Medical/Dental/Vision options
• Professional Growth
• And much more! https://welltower.com/newsroom/careers/

ABOUT WELLTOWER

Welltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults inthe United States,United Kingdom, andCanada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care.

Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments.Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture.

Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – ourNorth Star.

Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet