Senior Data Scientist

Team – Data Science
Working Pattern - Hybrid – 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. 
Top 3 skills needed:

Delivery of high-impact machine learning projects
Stakeholder management and collaboration
Identification of new project opportunitiesWhat this role is all about:
At Vitality, data scientists develop and deploy machine learning models that help us realise our core purpose and achieve our ongoing business objectives.
Our data scientists work on innovative applications of machine learning techniques spanning the entire value chain of our business. They work with rich datasets, and on project use cases spanning a broad variety of advanced techniques.  We have a test-and-learn ethos, meaning models are deployed quickly into business processes allowing us to assess the impact of our work.  Our data science function and its members play a key role in shaping new projects in an innovative environment that’s focused on making our members healthier and enhancing and protects their lives.
Key Actions

Implementing the machine learning life cycle: building models in a structured manner following best practice in the collection and analysis of modelling data, feature engineering, model fitting, selection, evaluation, deployment, and monitoring.

Working independently and providing support and guidance to others.
Receiving guidance from managers only in the most complex situations. 
Delivering work that stands up to the scrutiny of other senior data scientists and managers.
Being recognised by the data science community as highly capable in all aspects of the machine learning life cycle.
Analysing issues and recommending solutions.
Solving complex problems, taking a broad perspective to identify solutions.
Delivering high impact projects: working on projects that have well defined business benefits.

Managing projects as well as providing oversight of other data scientists’ work.
Leveraging your experience of working on previous projects to deliver new projects quickly and working with commitment and urgency to achieve this.
Managing several competing projects concurrently, prioritising your time effectively so as not to compromise delivery.
Engaging stakeholders: working with stakeholders to support and understand their core needs and requirements to ensure the delivery of high impact projects.

Putting forward well-reasoned arguments to all stakeholders in the business with confidence and leading and presenting engagements with stakeholders.
Proactively collaborating with stakeholders and taking responsibility for stakeholder relationships.
Providing examples of how alternative approaches might work and demonstrating advanced communication skills.
Facilitating meetings and guiding discussions. Fielding complex questions and engaging at a high level in your area of expertise. Negotiating and resolving conflicts.
Building and transferring skills and knowledge: taking responsibility for developing personal skills and expertise aligned to your role.

Being fully competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision).
Having a good grounding in the principles and technologies of ML engineering.
Setting yourself apart through the breadth of your knowledge and your ability to apply it to solve the problems faced by Vitality.
Proactively creating learning opportunities for other data scientists and analysts by initiating and conducting sessions to develop skills and knowledge in line with the needs of the business.
Actively coach and support other data scientists and be viewed as a technical expert by others in the analytical community.
Having a well-developed understanding of the overall dynamics of Vitality’s business.
Applying risk management and governance: considering potential risks at every stage of a project.

Championing model governance and data protection.
Collaborating within and across teams: working effectively together with others across varying areas of expertise to achieve the required results.Essential Skills needed to fulfil this role:

Undergraduate degree in numerical subject
Strong knowledge of Microsoft Office tools
Significant experience accessing and analysing data using SQL and Python
Significant experience using commonly used regression and classification algorithms
Experience (3+ yrs) working as a data scientist
Expert in the process of building and implementing machine learning models to solve business problems
Taken a lead role in the management of data science projects
Ability to prioritise work in relation to likely business impact
Communicates effectively to technical and non-technical audiences at all levels of the organisation
Demonstrable experience of working with the business to identify new projectsSo, what’s in it for you?

Bonus Schemes – A bonus that regularly rewards you for your performance
A pension of up to 12%– We will match your contributions up to 6% of your salary
Our award-winning Vitality health insurance – With its own set of rewards and benefits
Life Assurance – Four times annual salaryAbout The Company
Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.
We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits