Data Scientist

NHS Greater Manchester Integrated Care
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist- Consumer Behaviour

Lead Data Scientist

Data Scientist - Remote

Job summary

An exciting opportunity has arisen for 2 Data Scientists (B7) to join NHS Greater Manchester ICBs Data, Intelligence and Insight Team.

As a member of the Data, Insight and Intelligence Function, you will have responsibility for developing and applying new and innovative ways of managing and analysing data. You will support a growing and multi-skilled team of intelligence experts, to build innovative applications using state-of-the-art big data technologies, and data from a wide variety of sources.

You will support healthcare and NHS professionals to make the right and most cost-effective decisions for commissioning, patient care and healthcare services. Using the very latest developments in Analytics, Data Science and Operational Research you will be providing actionable data insight to senior managers and clinicians through the power of statistical modelling and analysis.

The post-holder will be one of the organisation's subject matter experts on Data Science techniques and application and bring these applications to one or more service areas such as Performance; Population Health, Hospital Care, Mental Health and locality.

The DII team have the following Data Science vacancies:

Locality

Population Health Management

Primary Care

**Please confirm preferred role within your application.

Applicants will be asked to provide a 10 minute presentation face to face, followed by competency based interview questions.

Main duties of the job

KEY DUTIES AND RESPONSIBILITIES

To deliver the above, the Data Scientist will:

o Support the Data Insight and Intelligence function/Locality management team to manage the teams to deliver intelligence to end users

o Where required: manage an analytical resource consisting of analysts, data engineers, data scientists and and/or primary care data facilitators.

o Provide oversight and management of individuals within the Data Insight and Intelligence function/Locality

o Work with internal and external Data Scientists and BI colleagues to develop baseline analytics on health and social care data on a national scale.

o Apply knowledge of Artificial Intelligence, Machine Learning, Cognitive Analytics and Big Data.

About us

NHS Greater Manchester Integrated CareIntegrated Care Systems (ICSs) are partnerships of health and care organisations that come together to plan and deliver joined up services and to improve the health and wellbeing of people who live and work in their area. Their purpose is to improve outcomes in population health and healthcare; tackle inequalities in outcomes, experience, and access; enhance productivity and value for money and support broader social and economic development in their area efficiency. This will be delivered in neighbourhood, place, combinations of places and GM system.

Job description

Job responsibilities

Key responsibilities

To support the Data Insight and Intelligence senior management team in devising, implementing and monitoring strategy and policy in relation to data and intelligence and outcomes in their specialist area(s)

- To develop and maintain an understanding of the national perspective and future strategy for the NHS and related areas of Health and Social Care

- To provide management to individuals within the relevant team, empowering individuals within own designated area, to perform to high standards and develop innovative ways of working.

- To influence professionals within their area of responsibility to make key business decisions based on the use of robust finance, activity, outcomes and patient experience analysis.

- To play a key supporting role in the innovation and transformation of the use of intelligence within the local health and social care economy, including the use of non-traditional information sources.

Person Specification

Qualifications

Essential

Educated to degree level in an information/statistical related field or substantial experience of application of analytical processes Evidence of post-qualifying and / or continuing professional development

Desirable

Educated to master's degree level in a technical subject, such as Statistics, Mathematics or Computer Science, and / or equivalent experience and specialist knowledge across a number of Data Science areas

Experience

Essential

Experience of working in a Local Authority, NHS, Voluntary and Community Sector or similar area for at least 2 years, preferably within an analytical role Experience of working collaboratively across multiple organisations and sectors Significant experience and knowledge of data and Intelligence Systems and their application in complex environments Experience of interpreting and presenting datasets and/or evidence / research Experience of writing and maintaining code and processes using R, JavaScript or Python Experience of developing and maintaining code and processes using languages and tools such as SAS, SPSS, STATA, Hadoop, MongoDB, D3 and JavaScript

Desirable

Demonstrable evidence of delivering innovative ways of workingng, SQL, R and Tableau Experience of leading a team

Knowledge

Essential

Highly developed analytical skills including knowledge of specialist techniques, such as standardisation and statistical process control, and awareness of a range of data sources Knowledge of the factors that influence population health and inequalities, and up-to-date knowledge of relevant national policy Strong working knowledge of Greater Manchester as a place - including the diverse communities of place, identity, and experience. Knowledge of SQL, R and Tableau

Competencies

Essential

Excellent research skills and specialist skills in quantitative and/or qualitative analytics Ability to manage own workload and priorities Able to build effective relationships with stakeholders Able to explain and interpret highly complex statistical information to non -specialists Ability to produce high quality and impactful data visualisations and presentations Ability to maintain focus and objectivity under various conditions and skill in managing and maintaining a multi-priority workload Demonstrated capability to plan over short, medium, and long-term timeframes and adjust plans and resource requirements accordingly Ability to work autonomously to achieve agreed objectives within broad professional policies Ability to take ownership, solve problems and proactively secure the objectives of the business Ability to make decisions autonomously, when required, working to tight and often changing timescales. Can determine when issues are complex and refer onto manager Ability to react to immediate problems of a highly complex nature with associated risk factors and deliver pragmatic solutions sometimes under extreme pressure Ability to concentrate for long periods when analysing data and documenting complex processes Ability to anticipate and resolve problems before they arise Excellent IT skills including experience of database applications including advanced Microsoft Word, Excel, and PowerPoint. Ability to prioritise own work effectively and be able to direct activities of others.

Other

Essential

Adaptability, flexibility, and ability to cope with uncertainty and change Builds support and consensus around decisions they make and effectively manages the expectations of different parties to achieve 'win-win' where possible. Measures and monitors to ensure they are on top of results and identifies risks to the where outcomes and targets are not being met. Evidence of continuing professional development. Willing to engage with and learn from peers, other professionals, and colleagues in the desire to provide or support the most appropriate interventions Professional calm and efficient manner Effective organiser, influencer and networker, completer/finisher

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.