Geospatial Analysts

Job description          

Data Science at the Office for National Statistics:
The Office for National Statistics (ONS) is the UK's largest independent producer of official statistics. We are the recognised national statistical institute of the UK. We publish a range of economic, social and population statistics, in over 600 releases a year.

We are transforming how we use data to better understand and measure the UK’s economy and society, to drive better decision making, and to improve the lives of citizens. A core part of this work is the development of our Geospatial Strategy and capability - driving the effective use of geospatial methods across the organisation to add maximum value to ONS statistics.

We would like to recruit talented Geospatial Analysts at senior and higher executive officer level, to help us drive forward our ambitions. We want to build teams with a range of skills, where the team-members’ strengths complement each other. If you are interested in using your geo data science skills to help transform the way we use data across government, then we are interested in your application.

Roles and responsibilities:
work as part of a cross-disciplinary project team to deliver ground-breaking geospatial projects deliver innovative goespatial work for ONS and Government, exploring and applying new data sources, tools and techniques or approaches to meet our clients’ needs, and using your geospatial, coding, analytical,and statistical skills Work closely with colleagues from the geospatial team and Data Science Campus to develop innovative methods Liaise with business areas across ONS (and wider customers) to build relationship, promote the value of geospatial analysis and deliver to their needs Work with academic & commercial experts on new methods and analysis tasks use Agile project delivery methodology to deliver effectively and efficiently engage in activities to support the geo data science community across ONS and Government, for example, presentations, workshops and mentoring write and publish code to quality standards contribute to published technical reports
Senior Geospatial Analysts will also:

lead cross-disciplinary project teams through the project lifecycle, from scoping projects through to delivery of projects with impact
Data Architecture has a flat hierarchy, but there may be some line management associated with these posts. Some travel to other ONS and Government locations will be required at both grades.

Person Specification:
Essential Criteria

For each of the below criteria we will assess you for ability and experience (SEO), or familiarity (HEO). Please ensure that you provide as much evidence as you can of your skills and experience in the following:

Experience of working in (HEO) or leading (SEO) teams A track record of developing and delivering geo-spatial analysis on time to meet user needs, overcoming any challenges A demonstrable commitment to developing your own knowledge and expertise as well as that of others Proven experience of carrying out Geospatial Analysis on complex projects Understanding of geographic principles and methods Experience in use of Geographic Information Systems (GIS) and handling large geospatial datasets Strong coding experience including Skills in R or Python

Delivery of geo-spatial projects is a multidisciplinary practice with a continually evolving skill set. You should be able to demonstrate ability and experience (SEO), or familiarity (HEO) in at least one of the following areas. We do not expect any person to cover all the skills. Scores will be awarded based on the breadth and depth of your experience.

Please tell us as much as you can about your skills and experience in any of the following activities:

data analytics, especially geospatial analysis, Earth observation data management/curation – such as the manipulation and analysis of complex, high volume and high dimensionality data, distributed processing, data modelling (including semantic technologies), relational and non-relational databases, cloud storage and data management, interoperability and standardisation for data, metadata management
data engineering – such as the design of algorithms, implementation of big data solutions, multicore/ distributed processing, SQL and noSQL database systems, statistical analysis languages and tooling
story-telling and data visualisation – including the visualisation of insights drawn from data and building of data driven products scientific research methods – analytical, independent, critical and curious analysis of data, literature reviews portfolio of open source projects and contributions or GitHub (or similar) profile experience of any other tools, techniques or programming languages, for example, D3, HIVE tables, GPUs
We are also currently recruiting for a range of other roles. These include:
1643982 Data Scientists at the Data Science Campus
1644210 Data Architecture Data Scientists / Data Engineers
1644230 Data Scientist Software Engineers / Dev Ops

Please do review these and apply if you feel you would like to be considered. In addition, we may contact you if we feel your skills suggest that we would like to consider you for the wider roles above. Qualifications We welcome applicants with a good degree, or equivalent, with a substantial geography or GIS component. We are also interested in applicants with a higher degree (for example, MSc or PhD) in a related subject. And we would also like to encourage applications from people without these formal qualifications, but with equivalent working experience. Behaviours We'll assess you against these behaviours during the selection process: Communicating and Influencing Developing Self and Others Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: A combination of technical questions and tests may be used at interview stage. Benefits Pensions Civil Service pension schemes may be available for successful candidates.
UK Government - Office for National Statistics Hampshire jobs

UK Government - Office for National Statistics

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