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Open Jobs Observatory
Cath Sleeman, Head of Data Discovery
Genna Barnett
Johan Carlin
Jyldyz Djumalieva
Karlis Kanders
India Kerle
Joel Klinger
Adeola Otubusen
George Richardson
Cath Sleeman
Jack Vines
A SUSTAINABLE FUTURE
Mission: to transition to a net-zero
economy that works better for people
and the planet
A HEALTHY LIFE
Mission: to increase the number of years
lived in good health for those who are
most affected by health inequalities
A FAIRER START
Mission: to make sure that the
circumstances of your birth do not
dictate the trajectory of your life
Obesity
Make food environments
healthier for everyone,
especially the most deprived
Loneliness
Improve social connection among
overlooked high-risk groups
Early Years
Close the school readiness
gap for those disadvantaged in
the first five years of life
Secondary School
Maintain gains in
secondary school
Carbon
Reduce household carbon
emissions by targeting household
heating and electricity use
Productivity
Improved labour market
functioning
Nesta
We design, test and scale new solutions to society’s biggest problems.
Why might missing LMI be important to productivity?
Other potential side
effects of poor LMI
Dampened skill
levels
Slower rates of
knowledge diffusion
Skill mismatches Reduced job quality
Job seekers may not realise that
their skills are transferable to
another industry
Employers may not realise that a
candidate would be under/over
qualified for the job
Educators may not realise that
they are teaching skills that are
becoming redundant
Slowed growth in productivity
Slower transition to Net Zero
Workers may not know which skills
will help them to find a ‘green job’
Imposing barriers to diversity
Employers may ask for a degree
rather than specific skills
What LMI is missing and why?
Potential causes that we’ve noticed
● Some LMI is expensive or not open
● Some variables are not collected
● There’s no single accepted framework / taxonomy
● No single group owns the LMI problem
….but there are many groups who are trying to fill
the gaps!
Very little data on the
transitions between jobs
No timely or granular
data on skill demands or
supply
No granular data on
green jobs or green skills
Not much data on job
quality and its
determinants
What are we trying to do?
Mapping Career Causeways
Created an algorithm that measures
theoretical job similarity
Funded by JPMC
No timely or granular
data on skill demands or
supply
No granular data on
green jobs or green skills
Not much data on job
quality and its
determinants
Very little data on the
transitions between jobs
Open Jobs Observatory
Scraping job adverts; extracting skills and
trying to find green jobs
Funded by the ONS and DFE
Quality of Work Taxonomy (WIP)
Exploring whether we can use employee
reviews to better understand work quality
Funded by the ESRC
We’re trying to show how novel data sources and data science methods might help to fill these gaps
Quick recap: What are the strengths & weaknesses of job adverts?
Strengths
● Timely
● Granular
● Free-text
● Link together LMI variables
Weaknesses
● Representation
● Inaccuracies regarding skills
● Missing data
● Errors in algorithms
A helpful, but by no means perfect, data source
• We’re trying to fill 2 data gaps: skill demands & green jobs
• We’re collecting job adverts daily (with permission)
• We released our first preliminary data on skill demands in Sep 21
…and we’ve opened up our codebase
• By Mar 2023, we’re aiming to publish regular data on regional skill demands
The Open Jobs Observatory is a prototype product
that captures the skills requested by employers in UK
job adverts. More broadly, it aims to demonstrate how
we can build new infrastructure to improve LMI.
What is the Open Jobs Observatory?
How does the Observatory work?
Collection
Deduplication
Enrichment
Extraction
Aggregation
● Job titles
● Descriptions
● Salaries
● Locations
● Annualize salaries
● Standardize locations
● Extract skills
● Composition of skills demands
● Skill demands by region
● Value of skills
● Keywords in adverts
We began collecting adverts in January
2021 and we now have several million
deduplicated postings.
An example of preliminary insights
from the Observatory
How do skill
demands vary
across the UK?
OJO can also provide insights on:
● Skills required for a particular job
● Transversal skills
● Most highly paid skills
● Change in skill demand over time
NUTS 2 regions; London has been merged
Speeding-up skill insights in Sussex
● Commissioned by the Sussex Chamber of
Commerce to analyse skill demands
● We identified absolute and relative skill
specialties
● We conducted deep dives on jobs in
green industries, transversal skills and
digital skills
Examples of insights:
● The higher paying transversal skills require
foresight or working closely with others
(compromise / negotiation / cooperation)
● The higher paying digital skills typically require
coding. Demand for several languages, such as
SQL, now stretch far beyond the ICT industry.
What skills are demanded in Sussex?
Finding jobs in green industries
● The Govt has pledged to support the
creation of 2 million green jobs by 2030
but…
● There’s no standard list of UK green jobs
● So we’ve developed the first open
algorithm for tagging jobs in green
industries.
● Outputs included blogs on both our
methodology, as well as a discussion of
the results, alongside an open codebase
on GitHub.
Green Industries
Green jobs
Examples of ‘green jobs’ in green industries
• Sustainability consultants
• Senior ecologists
• Heating engineers
• Recycling operatives
• Climate change specialists
Examples of ‘non-green jobs’ in green industries
• QC analysts
• Project managers
• Data analysts
• Operations managers
• Software developers
Open Jobs Observatory
Cath Sleeman, Head of Data Discovery
Genna Barnett
Johan Carlin
Jyldyz Djumalieva
Karlis Kanders
India Kerle
Joel Klinger
Adeola Otubusen
George Richardson
Cath Sleeman
Jack Vines

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OJA_Forum_Cath_Sleeman_Nesta (1).pdf

  • 1. Open Jobs Observatory Cath Sleeman, Head of Data Discovery Genna Barnett Johan Carlin Jyldyz Djumalieva Karlis Kanders India Kerle Joel Klinger Adeola Otubusen George Richardson Cath Sleeman Jack Vines
  • 2. A SUSTAINABLE FUTURE Mission: to transition to a net-zero economy that works better for people and the planet A HEALTHY LIFE Mission: to increase the number of years lived in good health for those who are most affected by health inequalities A FAIRER START Mission: to make sure that the circumstances of your birth do not dictate the trajectory of your life Obesity Make food environments healthier for everyone, especially the most deprived Loneliness Improve social connection among overlooked high-risk groups Early Years Close the school readiness gap for those disadvantaged in the first five years of life Secondary School Maintain gains in secondary school Carbon Reduce household carbon emissions by targeting household heating and electricity use Productivity Improved labour market functioning Nesta We design, test and scale new solutions to society’s biggest problems.
  • 3. Why might missing LMI be important to productivity? Other potential side effects of poor LMI Dampened skill levels Slower rates of knowledge diffusion Skill mismatches Reduced job quality Job seekers may not realise that their skills are transferable to another industry Employers may not realise that a candidate would be under/over qualified for the job Educators may not realise that they are teaching skills that are becoming redundant Slowed growth in productivity Slower transition to Net Zero Workers may not know which skills will help them to find a ‘green job’ Imposing barriers to diversity Employers may ask for a degree rather than specific skills
  • 4. What LMI is missing and why? Potential causes that we’ve noticed ● Some LMI is expensive or not open ● Some variables are not collected ● There’s no single accepted framework / taxonomy ● No single group owns the LMI problem ….but there are many groups who are trying to fill the gaps! Very little data on the transitions between jobs No timely or granular data on skill demands or supply No granular data on green jobs or green skills Not much data on job quality and its determinants
  • 5. What are we trying to do? Mapping Career Causeways Created an algorithm that measures theoretical job similarity Funded by JPMC No timely or granular data on skill demands or supply No granular data on green jobs or green skills Not much data on job quality and its determinants Very little data on the transitions between jobs Open Jobs Observatory Scraping job adverts; extracting skills and trying to find green jobs Funded by the ONS and DFE Quality of Work Taxonomy (WIP) Exploring whether we can use employee reviews to better understand work quality Funded by the ESRC We’re trying to show how novel data sources and data science methods might help to fill these gaps
  • 6. Quick recap: What are the strengths & weaknesses of job adverts? Strengths ● Timely ● Granular ● Free-text ● Link together LMI variables Weaknesses ● Representation ● Inaccuracies regarding skills ● Missing data ● Errors in algorithms A helpful, but by no means perfect, data source
  • 7. • We’re trying to fill 2 data gaps: skill demands & green jobs • We’re collecting job adverts daily (with permission) • We released our first preliminary data on skill demands in Sep 21 …and we’ve opened up our codebase • By Mar 2023, we’re aiming to publish regular data on regional skill demands The Open Jobs Observatory is a prototype product that captures the skills requested by employers in UK job adverts. More broadly, it aims to demonstrate how we can build new infrastructure to improve LMI. What is the Open Jobs Observatory?
  • 8. How does the Observatory work? Collection Deduplication Enrichment Extraction Aggregation ● Job titles ● Descriptions ● Salaries ● Locations ● Annualize salaries ● Standardize locations ● Extract skills ● Composition of skills demands ● Skill demands by region ● Value of skills ● Keywords in adverts We began collecting adverts in January 2021 and we now have several million deduplicated postings.
  • 9. An example of preliminary insights from the Observatory How do skill demands vary across the UK? OJO can also provide insights on: ● Skills required for a particular job ● Transversal skills ● Most highly paid skills ● Change in skill demand over time NUTS 2 regions; London has been merged
  • 10. Speeding-up skill insights in Sussex ● Commissioned by the Sussex Chamber of Commerce to analyse skill demands ● We identified absolute and relative skill specialties ● We conducted deep dives on jobs in green industries, transversal skills and digital skills Examples of insights: ● The higher paying transversal skills require foresight or working closely with others (compromise / negotiation / cooperation) ● The higher paying digital skills typically require coding. Demand for several languages, such as SQL, now stretch far beyond the ICT industry. What skills are demanded in Sussex?
  • 11. Finding jobs in green industries ● The Govt has pledged to support the creation of 2 million green jobs by 2030 but… ● There’s no standard list of UK green jobs ● So we’ve developed the first open algorithm for tagging jobs in green industries. ● Outputs included blogs on both our methodology, as well as a discussion of the results, alongside an open codebase on GitHub. Green Industries Green jobs Examples of ‘green jobs’ in green industries • Sustainability consultants • Senior ecologists • Heating engineers • Recycling operatives • Climate change specialists Examples of ‘non-green jobs’ in green industries • QC analysts • Project managers • Data analysts • Operations managers • Software developers
  • 12. Open Jobs Observatory Cath Sleeman, Head of Data Discovery Genna Barnett Johan Carlin Jyldyz Djumalieva Karlis Kanders India Kerle Joel Klinger Adeola Otubusen George Richardson Cath Sleeman Jack Vines