Lead Data Scientist

Job description

Job responsibilities

Key Responsibilities

• Contribute to the development of statistical, mathematical and predictive modelling to build the algorithms necessary to ask the right questions and find the right answers.
• Explore data looking from many angles to determine what the data means and recommend ways to apply to data to resolve pressing business and financial problems.

• Work in collaboration with subject matter experts, statisticians, User Researchers, developers and other staff.
• Undertake exploratory data analysis to inform the selection of appropriate machine learning algorithms for given problems.
• Contribute towards identifying and applying the appropriate data mining, data manipulation and data processing techniques, to prepare data and generate features to be utilized by machine learning algorithms.
• Contribute to the development of forecast modelling tools to assist with demand and capacity planning, project evaluation and impact analysis.
• Analyse multiple data strands from various systems to support pathway and population level insights to identify opportunities for improving patient care and outcomes.
• Contribute towards tuning and iterating a model to improve performance and explain the results and impact of a model to both technical and non-technical audiences across Mid Yorks services and the wider NHS.
• Liaise with internal and external customers/clients on requirements, working in an interactive fashion. Contribute to the development of data products in accordance with these requirements. Work with stakeholders to develop new metrics and reports to assist with measuring performance, quality, monitoring financial and access issues.
• Produce and present reports (that may be highly complex and/or contentious) and undertake relevant correspondence both within the organisation and to external customers/clients. This will include providing written advice and supporting information to effectively inform leaders and wider NHS organisations decision making.
• Communicate highly complex findings effectively both orally and visually to drive the right actions and outcomes from the analytics insight. Tell compelling, clear and actionable stories relevant for business goals using the most appropriate medium to visualise data.
• Analyse, interpret and resolve highly complex statistical or information problems where there is no precedent and where other leading opinions may conflict.
• Actively participates in projects to deliver development of new/revised products and processes, enabling organisational improvements and associated efficiencies. This includes ensuring data is used appropriately to inform effective decision making and robust and reliable outcomes will be delivered.
• Contribute to implementing frameworks and techniques for the delivery of risk management information to NHS organisations, taking into account the NHS environment, to develop appropriate statistical indicators for a risk-based assessment to be undertaken.

Person Specification

Experience

• Experience in the practical use of data science and analytical skills and techniques including statistics and data mining, programming and machine learning to a range of data types.
• Experience of working with large and highly complex datasets.
• Experienced in the use of statistical, programming and data visualisation software (e.g. R, Python)
• Experience of using version control platforms such as Github to collaborate and maintain a single codebase within a team.
• Experience cleaning and validating data for machine learning projects.

• Experienced in the analysis and interpretation of health or NHS related statistics.
• Experience within a Big Data environment.
• Experience of working with transaction data.
• Experience of working with unstructured data.
• Able to learn new technologies
• Able to understand business processes in the context of using data from business systems

Personal Attributes

• Team player.
• Can do attitude.
• A willingness to lead and manage change.
• An enthusiastic and positive outlook.
• Aptitude towards learning and development.
• Adaptable

Qualifications

• Masters level qualification in a numerate discipline, computer science or an equivalent subject requiring high levels of statistical analysis
• or
• Significant experience working in an analytical/ statistical role

Knowledge & Skills

• Knowledge of data science and advanced analytics techniques, being able to critically appraise and interpret highly complex and large volumes of data.
• Resolves highly complex statistical /epidemiological / information problems where there is no precedent or where leading opinions may conflict.
• Ability to develop appropriate algorithms and rules using machine learning, statistical and analytical techniques for varying purposes across the business.
• Ability to quickly research and learn new programming tools and techniques.
• Advanced skills of extracting and manipulating data from SQL databases.
• Able to use database, statistical, word processing, spread sheet and presentational software packages to produce highly complex and, at times, highly sensitive reports.
• Able to direct activity to drive the best outcomes for the business with the resources available.
• Excellent storytelling, communication and presentation skills. With the ability to explain fundamental concepts including areas with highly complex and contentious subject matter, at all levels of the organisation with varying levels of understanding.
• Excellent problem solving skills
• Ability to manipulate and analyse complex, high volume, high dimensionality data from varying sources.
• Good at understanding requirements and checking back with sponsors that progress is on the right track.

• A good knowledge of freedom of information and data protection legislation
• Knowledge of NHS data, understanding its complexities and limitations

Other

• Able to concentrate intensively, using significant discretion in decision making activities.
• Commitment to continuing professional development and keeping up to date with emerging techniques and technologies
• Proactive and personally motivated.
• Self-aware, flexible and adaptable.
• Accurate with attention to detail.
• Works effectively within a team environment
• Curious nature and effectively dives deep into material.
• Focused on delivery.

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website.

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants.

Employer details

Employer name

The Mid Yorkshire Teaching NHS Trust

Address

Pinderfields Hospital

Aberford Road

Wakefield

West Yorkshire

WF1 4DG

https://www.midyorks.nhs.uk/