At a Glance
- Tasks: Analyse healthcare datasets and develop predictive models to improve patient care.
- Company: Join Abtrace, a pioneering tech company transforming healthcare with AI.
- Benefits: Competitive salary, private pension, flexible working, and generous parental leave.
- Other info: Collaborate with a diverse team and work on groundbreaking health tech.
- Why this job: Make a real difference in healthcare by using cutting-edge technology.
- Qualifications: Strong Python and SQL skills, experience with machine learning and NLP.
The predicted salary is between 54000 - 66000 £ per year.
The Company Abtrace is solving one of the most complex and impactful challenges in healthcare: enabling primary care to deliver proactive, preventative care at scale. Our team of doctors, researchers, software engineers and data scientists combines clinical expertise, advanced software engineering and AI to build clinical algorithms that help primary care clinicians identify risks earlier and intervene sooner. We are building digital health technology that delivers personalised Population Health interventions at scale. Our platform continuously analyses patients’ health records to identify early signals of deterioration, emerging disease and opportunities for preventative care—helping clinicians act before problems become more serious. Today, our technology is deployed across more than 600 primary care practices, supporting care for 7.5 million patients.
The Role We’re looking for a Data Scientist (Mid/Senior) to join our team. The core duty of the position will be the analysis of longitudinal healthcare datasets and development of predictive models from those datasets. The ideal candidate should have strong Python and SQL skills and be proficient in data science libraries such as scikit-learn, pandas and XGBoost, as well as transformer-based NLP techniques. We are looking for someone who works well in a fast-moving team and communicates effectively with non-technical team members.
Responsibilities
- Analyse large longitudinal clinical datasets.
- Work with complex, real-world structured data, addressing missing values and class imbalance and preventing label leakage.
- Design predictive algorithms and conduct machine learning experiments using clinical datasets.
- Validate and deploy models, monitor their performance and retrain them as needed.
- Collaborate with a small, close-knit and diverse multidisciplinary team of developers, data scientists and doctors.
Requirements
- Proficiency in Python and SQL.
- Excellent knowledge of machine learning and MLOps.
- Experience with natural language processing (NLP), particularly transformer-based approaches.
- Experience with AWS cloud infrastructure, including services such as SageMaker and Athena.
Nice to have
- Hands-on experience with dbt or a comparable data transformation framework.
- Experience with time-series analysis, survival analysis, or longitudinal modelling.
Benefits
- Competitive salary depending on experience.
- Private Pension.
- Generous maternity/paternity leave.
- Flexi working & possibility for remote working.
- Company's office in Paddington - easy commute and comfortable surroundings.
- Motivated, highly functioning, multi-disciplinary team.
- Opportunity to be involved in ground-breaking technology impacting patient health.
Data Scientist in England employer: Abtrace
Abtrace is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about making a difference in healthcare technology. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects while collaborating with talented professionals in a hybrid working environment located in the vibrant Paddington area of London. Enjoy the benefits of mentoring others, driving engineering excellence, and being part of a fast-growing company dedicated to improving health outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in England
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Abtrace, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Abtrace. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Abtrace
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Abtrace!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
