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The Role

We are looking for a junior Data Scientist to join our Data Science Team, working within our Data and Research Function. You will be expected to work on specific data science projects that help Evergreen Life gain a deeper understanding of its data and inform decision-making. You will have the opportunity to develop machine learning models to classify, enrich and discover patterns in Personal Health Record (PHR) related data so we can provide insights and new product features for our users to improve their health and wellbeing.

You will work with open-source software, proposing, developing, and maintaining new solutions to enhance our data science offering to the organisation. You will join an interdisciplinary team of data scientists, analysts, engineers, product managers, qualitative researchers, and designers.

We all learn from each other and work together in supporting Evergreen Life's vision: people will be empowered to increase their healthy and happy years by owning and sharing their health records.

Company Overview

Evergreen Life is on a mission to help people take control of their health, wellbeing and fitness with the Evergreen Life app. Evergreen Life's Personal Health Record brings all of a person's health information together in one place, supporting 'People Powered Health', giving patients access to electronic medical records, GP online services and much more.

We call it People Powered Health and we mean it. We are a team of motivated, innovative, and relatable individuals, wanting to change the healthcare world for good.

We're putting the individual at the heart of healthcare so they can feel better informed and more in control of their health. It's about people being in control of their health information and being able to share it with whomever they choose, in order to get the health and care they want.

Evergreen Life is also a certified B Corp, which means we are part of a growing community of organisations that are using business as a force for good. Being a B Corp means we've passed a rigorous certification showing that our business makes a positive impact on our community.

People matter most to us. From supporting the wellbeing of our employees and the wider world, (we're a health app after all!), and taking steps to reduce our environmental impact, we take our social responsibility pretty seriously.

So if you want to join a company that is really in it for the long game to support people in prioritising their health and wellbeing, we think you'd fit right in!

You will:

• work on delivering business goals through the implementation of new data-driven product features
• contribute to the productionisation of predictive models in alignment with the engineering teams
• Support product/feature planning by providing data-driven insights

In this role you will:

• develop skin-lesion classification validation solution using advanced computer vision techniques.
• Use explainability techniques such as Shapley to produce saliency maps for the trained models.
• Undertake data science work as part of a multi-disciplinary product team, to deliver analysis and technical solutions in that context.
• Translate business problems into data science tasks, presenting complex analysis or solutions to both internal and external non-technical audiences in an understandable manner.
• Champion the value of data science as a discipline, actively seeking to identify new opportunities to enable and improve decision making within Evergreen Life.
• Stay up to date with the latest advances in data science and machine learning research, ensuring Evergreen Life is taking full advantage of any meaningful technological advances.
• Be self-driven, with a high level of motivation to execute tasks and to go beyond the minimum deliverables

To be successful in this role you will have:

• A proven track record of a specialised expertise in an advanced technical area including statistics, machine learning, computer vision and explainability.
• A strong knowledge of a wide range of machine learning techniques with hands-on experience of applying and using them in real-life scenarios.
• Strong knowledge of SQL and Python, including core data science libraries such as: Scikit-Learn, SciPy, TensorFlow, PyTorch, and SpaCy.
• Knowledge of software development good practices and collaboration tools, including Git-based version control, Python package management and code reviews.
• Experience cleaning, exploring, and visualising data using packages such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh or Plotly.
• Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders.
• Experience working with cloud environments and tools such as Amazon AWS S3, EC2, etc is desirable.

Benefits

The office has state of the art air filtering, bean to cup coffee, fresh fruit & nuts for healthy snacks, easy access & is smack in the centre of town. As well as pension, we have life insurance cover for everyone, a healthcare cash plan with access to professional support lines, plus flexible holidays & working patterns. Working remotely brings some different challenges, but we make sure you have the right kit to get you off to a flying start, well tested tech & great support.