# Data Science & AI Jobs in Europe

**Use case:** 

New Data Scientist, Machine Learning Engineer and Data Engineer jobs in Germany, the Netherlands, France, Spain and Poland from 16 boards including LinkedIn, Indeed, StepStone, Welcome to the Jungle and Just Join IT. Posted in the last 7 days, deduplicated.

## Input

```json
{
  "countries": [
    "DE",
    "NL",
    "FR",
    "ES",
    "PL"
  ],
  "includeGlobalBoards": true,
  "includeRegionalBoards": "off",
  "keywords": [
    "Data Scientist",
    "Machine Learning Engineer",
    "Data Engineer"
  ],
  "titleFilter": "sales manager, account executive",
  "location": "Berlin",
  "radiusKm": 30,
  "sortBy": "newest",
  "postedWithinDays": 7,
  "includeCareerSites": false,
  "includeJobDetails": false,
  "maxResultsPerCompany": 0,
  "includeContactData": false,
  "includeCompanyDetails": false,
  "csjFallbackToExtractor": true,
  "handoverSharedBoards": true,
  "sameRunHandover": true,
  "includeFullPostingText": false,
  "maxFullTextChars": 12000,
  "fullTextLlmFill": true,
  "includeCompaniesWithoutJobs": true,
  "outputMode": "jobs",
  "hiringBrowserFallback": false,
  "hiringAtsViaCareerSites": false,
  "dedupMode": "streaming",
  "onlyNewJobs": false,
  "companySummary": false,
  "seenJobsTtlDays": 30,
  "trackJobLifecycle": false,
  "minRelevanceScore": 0,
  "excludeAgencies": false,
  "enforceRadius": true,
  "jobUrls": [
    "https://www.seek.com.au/job/91878509"
  ],
  "maxResultsPerPlatform": 0,
  "maxResultsPerQueryPerPlatform": 5,
  "maxResultsTotal": 100,
  "perHostConcurrency": 2,
  "globalConcurrency": 0,
  "maxParallelPlatforms": 8,
  "maxTotalMemoryMbytes": 0,
  "includeReportRowsInDataset": false
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company.name": {
    "label": "Company",
    "format": "text"
  },
  "company.is_agency": {
    "label": "Agency",
    "format": "boolean"
  },
  "company.agency_type": {
    "label": "Agency type",
    "format": "text"
  },
  "location.city": {
    "label": "City",
    "format": "text"
  },
  "location.country": {
    "label": "Country",
    "format": "text"
  },
  "posted_date": {
    "label": "Posted",
    "format": "string"
  },
  "employment_type": {
    "label": "Employment type",
    "format": "string"
  },
  "salary.min": {
    "label": "Salary min",
    "format": "number"
  },
  "salary.max": {
    "label": "Salary max",
    "format": "number"
  },
  "salary.currency": {
    "label": "Currency",
    "format": "text"
  },
  "apply_url": {
    "label": "Apply URL",
    "format": "string"
  },
  "_platform": {
    "label": "Platform",
    "format": "string"
  },
  "job_id": {
    "label": "Job ID",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Job Feed: 110+ Job Boards & Career Pages in 60+ Countries Actor is ready to run with the inputs already set for "Data Science & AI Jobs in Europe". [Sign up or log in](https://console.apify.com/create-task-from-example/6wWdodysoHFvIRRtE) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Data Science & AI Jobs in Europe" task

The Job Feed: 110+ Job Boards & Career Pages in 60+ Countries Actor will start running based on the input automatically. You can also change all the input fields, like countries, also search global boards (indeed, glassdoor, linkedin), and more, to match your specific use case.

### 3. Receive the "Data Science & AI Jobs in Europe" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company, agency, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Data Science & AI Jobs in Europe" task via API](https://apify.com/santamaria-automations/job-feed.md).

## About this Actor

This example demonstrates how to use [Job Feed: 110+ Job Boards & Career Pages in 60+ Countries](https://apify.com/santamaria-automations/job-feed.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/santamaria-automations/job-feed.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/santamaria-automations/job-feed.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).