Djinni Dataset (English CVs part)

  Overview

The Djinni Recruitment Dataset (English CVs part) contains 150,000 job descriptions and 230,000 anonymized candidate CVs, posted between 2020-2023 on the Djinni IT job platform. The dataset includes samples in English and Ukrainian. The dataset contains various attributes related to candidate CVs, including position titles, candidate information, candidate highlights, job search preferences, job profile types, English… See the full description on the dataset page: https://huggingface.co/datasets/lang-uk/recruitment-dataset-candidate-profiles-english.

These figures are experimental estimates of online job adverts provided by Adzuna, an online job search engine. The number of job adverts over time is an indicator of the demand for labour. To identify these adverts we have applied text-matching to find job adverts which contain key phrases associated with homeworking such as “remote working”, “work from home”, “home-based” and “telework”. The data do not separately identify job adverts which exclusively offer homeworking from those which offer flexible homeworking, such as one day a week from home.

An analysis of part-time workers who would like to be in full-time employment. Their part-time employment is involuntary based on views recorded in the Labour Force Survey. These individuals in part-time jobs are either seeking more hours, looking for an additional job or looking for a replacement role. The UK Labour Force Survey covers Great Britain and Northern Ireland. This analysis is a small ad-hoc piece produced by BIS analysts. It is one of many occasional statistical publications generated by the department. Further publications can be located by following this link: https://www.gov.uk/government/collections/bis-occasional-statistics

Vacancies and unemployment.

Context

I will graduate from my postgraduate study at the University of Exeter in 2021 and want to start my career in London as soon as possible in a data science role.

Those who are seeking jobs like me probably are suffering from which skills should be improved to get a better job. In this context, I scraped the Indeed website and collected information with various queries such as Data Scientist, Data Engineer, Big Data etc. It is scraped around on 2020 July 22th and the information collected are: Job Title, Location, Company Name, Salary, Description.

Content

• indeed-uk.csv: If you want to explore the job market around London, download this one because it aggregates all information and cleans the jobs that are dupliccated.
• all other files: If you want to explore a specific job title, you can download any of them. I tried to separate them into different CSV files however it may contain some noises.

Acknowledgements

Special thanks to Indeed company!

Also thanks to @sl6149 for his similar dataset.

Inspiration

If you have no clue where to start, check my github repository for inspiration.

Possible Questions:

• Who gets hired? What kind of talent do employers want when they are hiring a data scientist?
• Which location has the most opportunities?
• What skills, tools, degrees or majors do employers want the most for data scientists?
• What's the difference between a data scientist, data engineer, and data analyst?
• Can you develop an efficient classification algorithm to differentiate the three job types above?

The data represented here is an extract of data relating to Job Seekers Allowance and based on the 694 geographic data zones in Glasgow. Dataset covers the years 1999 - 2014. Full UK datasets are available from the DWP Website. ((c) Crown copyright 2009). JSA statistics were revised in the May 2008 release following improvements to methodology. Further details. All counts have been adjusted using a variant of controlled rounding to avoid the disclosure of any personal information. All cells have been rounded to base 5 and the total equals the sum of the disaggregation shown. Please note that any counts that are shown as zero may not be a 'real' zero. . Although all small area totals are within 5 of the true value, aggregating them to form Local Authority totals is not recommended due to the fact that it is the sum of rounded figures. Local Authority totals should therefore be obtained from the DWP Tabulation Tool. More information about the DWP their tabulation tool and collections can be located here. Further qualifications or limitations to the data can be examined here.. Data is correct at time of upload 2014:04:10T16:40:00 Licence: None

This animated map allows users to see how the number and distribution of JSA claimants has changed over time. Options allow you to view data for just males or females, those aged 18-24, and those who have been claiming JSA for over 12 months.

The measure shows the percentage of adults receiving secondary mental health services in paid employment at the time of their most recent assessment, formal review or other multidisciplinary care planning meeting. Adults 'in contact with secondary mental health services' is defined as those aged 18 to 69 who are receiving secondary mental health services and who are on the Care Programme Approach (CPA). The measure is focused on 'paid' employment, to be clear that voluntary work is to be excluded for the purposes of this measure. Employment status is recorded using the following categories: Employed Unemployed and Seeking Work Students who are undertaking full (at least 16 hours per week) or part-time (less than16 hours per week) education or training and who are not working or actively seeking work Long-term sick or disabled, those who are receiving Incapacity Benefit, Income Support or both; or Employment and Support Allowance Homemaker looking after the family or home and who are not working or actively seeking work Not receiving benefits and who are not working or actively seeking work Unpaid voluntary work who are not working or actively seeking work Retired ZZ Not Stated (person asked but declined to provide a response) The calculation of the measure was changed in 2013-14 and in 2017-18. Previously, outcome scores were calculated from annual totals from the MHMDS, whereas now the outcome is calculated each month and the ASCOF measure for the year is derived as an average of these monthly scores. In 2017-18 The Mental Health Services Dataset (MHSDS) methodology has also been updated so that only whole numbers are published. Only covers people receiving partly or wholly supported care from their Local Authority and not wholly private, self-funded care. Data Source: Mental Health Minimum Data Set' Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

The primary purpose of the Labour Force Survey (LFS) is "providing good quality point in time and change estimates for various labour market outputs and related topics” (National Statistics Quality Review (NSQR) of Labour Force Survey 2014). The labour market covers all aspects of people's work, including the education and training needed to equip them for work, the jobs themselves, job-search for those out of work and income from work and benefits. Output from the LFS is quarterly since 1992. Each quarter’s sample is made up of 5 waves. The sample is made up of approximately 40,000 responding UK households and 100,000 individuals per quarter. This dataset includes only individual responses. Respondents are interviewed for 5 successive waves at 3-monthly intervals and 20% of the sample is replaced every quarter. The LFS is intended to be representative of the entire population of the UK.

These official statistics will consist of number of sanction decisions made for JSA and ESA sanction referrals, including whether the decision was adverse or not. The statistics will apply for the new sanctions regime introduced at the end of 2012.

Number and rate of people claiming Job Seekers' Allowance at June 2008 and June 2009, by SOA.

RESPOND project produced a high level of empirical material in 11 countries (Sweden, the UK, Germany, Italy, Poland, Austria, Greece, Bulgaria, Turkey, Iraq, and Lebanon) where the research is conducted between the period 2017-2020. The country teams gathered macro (policies), meso (implementation/stakeholders) and micro (individuals/asylum seekers and refuges) level data related to the thematic fields formulated in four work packages: borders, protection regimes, reception, and integration. An important contribution of this research has been its micro/individual focus which enabled the research teams to capture and understand the migration experiences of asylum seekers and refugees and their responses to the policies and obstacles that they have encountered.

Country teams conducted in total 539 interviews with refugees and asylum seekers, and more than 210 interviews with stakeholders (state and non-state actors) working in the field of migration. Additionally, the project has conducted a survey study in Sweden and Turkey (n=700 in each country), covering similar topics.

This dataset is only about the micro part of the Respond research, and reflects data derived out of 539 interviews conducted with asylum seekers and refugees in 11 countries and here presented in a quantitative form. The whole dataset is structured along the work package topics: Borders, Protection, Reception and Integration.

This dataset is prepared as part of Work Package D3.5 (Dataset on refugee protection) the Horizon 2020 RESPOND project as a joint effort of the below listed project partners.

• • Uppsala University (dataset entries from Sweden)
• • Göttingen University (dataset entries from Germany)
• • Glasgow Caledonian University (dataset entries from the UK and Hungary)
• • Istanbul Bilgi University (dataset entries from Turkey)
• • University of Cambridge (dataset entries from the UK, Sweden and Germany)
• • Swedish Research Institute Istanbul (dataset entries from Turkey)
• • University of Florence (dataset entries from Italy)
• • Özyegin University (dataset entries from Turkey)
• • University of Aegean (dataset entries from Greece)
• • University of Warsaw (dataset entries from Poland)
• • Hammurabi Human Rights Organization (dataset entries from Iraq)
• • Lebanon Support (dataset entries from Lebanon)
• • Austrian Academy of Sciences (dataset entries from Austria)

This dataset contains series for the Claimant Count (which measures the number of people claiming unemployment-related benefits) and vacancies.

This dataset contains monthly briefings on Job Seekers Allowances (JSA) and Universal Credit (UC) for the City of York.

For some of the raw data behind these briefings please see the following Key Performance Indicators:

• CJGE06
• CJGE07
• CJGE08
• CJGE151

Jobseekers Allowance (JSA) claimants analysed by their age and the duration of their claim.

Source: Department for Work and Pensions (DWP)

Publisher: Nomis

Geographies: Lower Layer Super Output Area (LSOA), Middle Layer Super Output Area (MSOA), Ward, Local Authority District (LAD), County/Unitary Authority, Government Office Region (GOR), National

Geographic coverage: UK

Time coverage: 1985 to 2009

Type of data: Administrative data

Notes: This data set contains only computerised claims. As of December 1996, only 21,846 claims in the UK, representing 1.2% of the total UK claims, were not handled by computer (clerical claims).

This indicator measures the percentage of the working age population who are claiming out of work benefits. Working age benefits include the main out-of-work client group categories (unemployed people on Jobseekers Allowance, Lone Parents on Income Support, Incapacity Benefits customers, and others on income-related benefits with the exception of carers who are not subject to activation policies in the same way as other groups). The working age population is defined as the sum of females aged 16-59 plus males aged 16-64. Data are presented as a rolling average of 4 quarters to account for seasonal variation.

The 2014 London Business Survey (LBS) is an innovative survey designed by the Office for National Statistics, on behalf of the London Enterprise Panel and the GLA. The survey collected information from a representative sample of private sector businesses in London in May-July 2014.

This dataset contains information on London’s private sector workforce and recruitment by London businesses corresponding with Section 3 of the London Business Survey 2014: Main Findings report.

Information is provided on:

• The number of employees working in London businesses by gender
• The change in the number of employees compared to 12 months ago, and the outlook for the next 12 months
• Reasons for a rise or fall in the number of employees
• Recruitment, including whether London businesses have recruited via Job Centre Plus (JCP), and the perceived suitability of these candidates

For statistics on the number of full-time and part-time employees working in London, the ONS’s Business Register and Employment Survey (BRES)is the recommended official source.

As with any survey, the 2014 LBS is based on a sample and as such is subject to variability in the results. Care should therefore be taken in interpreting the survey findings. For all estimates, lower and upper limits of 95% confidence intervals are provided in the data files to assist with interpretation. The LBS results represent the population of business units in London. A business unit is defined as a site/workplace, which may also be a head office if the head office is in London. It will be the whole business in the case of businesses which only have one site, or part of the business in the case of multi-site firms.

The results are presented by enterprise size band and industry sector.

The data was extracted into a CSV file from the Homelessness Services Resource Directory which can be found here. Homelessness is a broader issue as it encompasses lots of factors ranging from accommodation needs of an individual, health issues, money and legal advice, employment and so on. These issues are all addressed in a holistic and integrated way to prevent homelessness occurring. The data here is designed to empower people to gain employment while giving them the skills, attitude and confidence to gain and maintain employment in the long run. It also includes a range of support services people faced with unemployment would benefit from. The services listed include Jobcentres, Skills Development Scotland and Specialist Homeless and Employability Services. Their respective contact details (name, address, telephone number, type of service, email address) and detailed service each organization covers are also included in the dataset. Data uploaded 2014-07-11T09:59:56 Data supplied by Glasgow City Council Licence: None job-centre.json - https://dataservices.open.glasgow.gov.uk/Download/Organisation/de0f1bfc-ed16-429a-b03c-6a63a178efb1/Dataset/db5b4913-6ac9-46ad-9e8d-512f0101fbe9/File/0acae914-262b-4701-8aff-92cc3c95cf26/Version/672427ac-7d44-462e-9cec-3e0bbd56b5c5

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