Senior Data Scientist in London

Senior Data Scientist in London

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Shape the future of health research by developing innovative data products and insights.
  • Company: Join a pioneering charity supported by the UK Government, focused on improving public health.
  • Benefits: Enjoy a competitive salary, generous holiday, and flexible working arrangements.
  • Why this job: Make a real impact on health outcomes for millions while working with cutting-edge data science.
  • Qualifications: Experience in data science, strong analytical skills, and proficiency in Python or R.
  • Other info: Collaborative hybrid work environment with excellent career growth opportunities.

The predicted salary is between 60000 - 84000 £ per year.

Our Future Health will be the UK's largest ever health research programme, bringing people together to develop new ways to detect, prevent, and treat diseases. We are a charity, supported by the UK Government, in partnership with charities and industry. We work closely with the NHS and with public authorities across all nations and regions of the UK.

Despite big improvements in healthcare in our lifetimes, today millions of people in the UK still live in poor health as they get older. Diseases like cancer, dementia, diabetes, and heart disease affect the lives of many people in our communities. Our goal is to create a world-leading resource for health research, to improve our understanding and spot the patterns of how and why common diseases start, so treatments can begin sooner and be more effective. Our plan is to bring together 5 million volunteers from right across the UK who will be asked to contribute information to help build one of the most detailed pictures we have ever had of people's health. Researchers will be able to use this information to make new discoveries about human health and diseases. So future generations can live in good health for longer.

We're building technology to unlock the potential of Our Future Health data for a broad set of users - providing health planners, commissioners, and policymakers with insights about population health to enable better, faster decisions that improve lives.

As Senior Scientist, you'll be joining this work at an early stage and will play a pivotal role in shaping it from the ground up. You'll be hands on, working closely with our science, product and technology teams to define requirements, design innovative solutions and rigorously test them as we scale.

In this role, you will:

  • Support stakeholders and research customers in framing analytical questions, structuring complex problems and defining their data requirements.
  • Bring a data-as-a-product mindset, with a focus on impact and outcomes for end users, ensuring that our research customers get maximum value out of our data products.
  • Enable us to deliver prototypes of new data products and features at pace, making sure that they are high quality, trustworthy and understandable, and meet data privacy requirements.
  • Channel customer feedback into the product roadmap and ensure that the right opportunities are flagged to the business development team.

Responsibilities will include:

  • Contributing to the design and development of high-quality data products that meet stakeholder and research customers' needs (for example, dashboards and visualisations).
  • Providing the data and information required to support conversations with stakeholders, for example regarding prototypes or beta releases.
  • Defining the data requirements for relevant data products and insights.
  • Using agile methods to iterate on data products and visualisations by writing tested and auditable code.
  • Contributing to the development of data pipelines, bringing a focus to the needs of end users and acting as a subject matter expert who influences your team.
  • Working with relevant internal experts to ensure that data products meet ethical, data privacy and regulatory requirements.

This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month.

Requirements

We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you:

  • Track record of applying data science methods across diverse problem domains within health and life sciences, such as clinical analytics, population health, or pharmaceutical research.
  • Experience in working a range of large-scale health datasets, for example electronic health records.
  • Strong foundation in data analysis and statistical methods relevant for population health management, ideally including risk stratification and population segmentation methods.
  • Familiar with common medical and health data coding systems and formats such as ICD-10, SNOMED-CT, Read.
  • Proficient in Python or R, SQL and version control.
  • Skilled in data visualisation and communicating insights clearly to non-technical audiences. Experience using BI tools (PowerBI, Looker, Omni) is desirable.
  • Ability to work in cross-functional teams, and a receptiveness to learning from feedback from others.
  • Strong consultancy skills, with the ability to engage stakeholders to understand their needs, clarify objectives, and shape analytical approaches.
  • Resilient and adaptable, bringing motivation to problem solve within an ambiguous or changing environment.
  • Awareness of how public health systems operate at a national and local level.

This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month.

Benefits

  • Competitive base salary from £70,000.
  • Generous Pension Scheme - We invest in your future with employer contributions of up to 12%.
  • 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you.
  • Enhanced Parental Leave - Supporting you during life's biggest moments.
  • Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice.
  • Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice.
  • EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice.
  • £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board!
  • Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family.
  • A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements.

Join us - let's prevent disease together.

We recommend you apply as soon as possible as occasionally due to high volumes of applications, we need to close our postings early.

At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long-term health conditions to let us know if they require any reasonable adjustments as part of their application process.

If you do require any reasonable adjustments, please email us at talent@ourfuturehealth.org.uk.

Senior Data Scientist in London employer: Our Future Health UK

At Our Future Health, we are committed to creating a supportive and inclusive work environment that empowers our employees to make a meaningful impact on public health. With a competitive salary, generous benefits including a robust pension scheme and enhanced parental leave, and a flexible hybrid working model, we prioritise employee well-being and professional growth. Join us in our central London office, where collaboration and innovation thrive, as we work together to revolutionise health research for future generations.
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Contact Detail:

Our Future Health UK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your data science skills. Use real-world examples from your experience to demonstrate how you’ve tackled complex problems and delivered impactful results.

✨Tip Number 3

Don’t just wait for job postings! Be proactive and reach out to companies you admire, like us at Our Future Health. Express your interest and share how your skills can contribute to their mission – it could lead to unexpected opportunities.

✨Tip Number 4

Follow up after interviews with a thank-you note. It shows your appreciation and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate your enthusiasm for the role and the company!

We think you need these skills to ace Senior Data Scientist in London

Data Science Methods
Health and Life Sciences Analytics
Large-scale Health Datasets
Data Analysis
Statistical Methods
Risk Stratification
Population Segmentation
ICD-10
SNOMED-CT
Python
R
SQL
Data Visualisation
BI Tools (PowerBI, Looker, Omni)
Consultancy Skills
Cross-functional Team Collaboration

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science, especially in health and life sciences. We want to see how your skills align with our mission at Our Future Health!

Showcase Your Skills: Don’t just list your technical skills; demonstrate them! Include examples of projects where you’ve used Python, R, or SQL to solve real-world problems. We love seeing how you’ve made an impact with your data expertise.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate a well-structured application that’s easy to read!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to receive your application and start the conversation about your future with us!

How to prepare for a job interview at Our Future Health UK

✨Know Your Data Science Stuff

Make sure you brush up on your data science methods, especially those relevant to health and life sciences. Be ready to discuss your experience with large-scale health datasets and how you've applied statistical methods in real-world scenarios.

✨Showcase Your Problem-Solving Skills

Prepare to demonstrate how you've tackled complex analytical questions in the past. Think of specific examples where you structured problems and defined data requirements, as this will show your ability to support stakeholders effectively.

✨Communicate Clearly

Since you'll be working with non-technical audiences, practice explaining your insights in simple terms. Use examples from your previous work to illustrate how you've successfully communicated complex data visualisations and findings.

✨Be Agile and Adaptable

Familiarise yourself with agile methodologies, as this role requires iterating on data products quickly. Be prepared to discuss how you've adapted to changing environments and how you approach problem-solving when faced with ambiguity.

Senior Data Scientist in London
Our Future Health UK
Location: London

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