Data Scientist

Job not on LinkedIn

🔥 3 minutes ago

🌐 Portugal, Spain – Remote

🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote

💵 €40k - €46k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

💼 Consulting

Consulting • Data Analytics • Digital Transformation

Keyrus is a global consulting company that specializes in data and digital transformation. Operating in over 20 countries, Keyrus works with clients to leverage data analytics and cutting-edge digital transformation strategies to drive business success. The company prides itself on being technology agnostic, partnering with various innovative software vendors. Keyrus promotes a multicultural and flexible work environment, emphasizing innovation, trust, and ownership among its employees. The company offers extensive career development opportunities and a comprehensive benefits package. With expertise in data analytics and digital transformation, Keyrus aims to make a significant impact on the digital future.

📋 Description

• Collect, process, and analyse structured and unstructured datasets using Python, SQL, and modern data science techniques • Develop, validate, and deploy machine learning and statistical models for forecasting, customer analytics, and predictive business use cases • Perform feature engineering, data preparation, and model optimisation • Design and maintain analytical workflows and data pipelines, collaborating with Data Engineering teams when required • Identify trends, patterns, risks, and opportunities in complex datasets • Translate analytical findings into actionable recommendations and present results to technical and non-technical stakeholders • Collaborate with clients, business stakeholders, and cross-functional teams to deliver data-driven solutions • Support data science best practices, modelling methodologies, and reusable analytical frameworks • Apply predictive analytics, customer analytics, and advanced statistical techniques to business challenges • Contribute to client-facing analytics projects from discovery through implementation

🎯 Requirements

• Relevant academic background in Data Science, Applied Mathematics, Statistics, Computer Science, Engineering, or equivalent professional experience • 4+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related data-focused roles • Experience delivering analytical solutions from data exploration through model deployment and business adoption • Ability to work effectively in multidisciplinary environments • Professional proficiency in English • Strong hands-on experience with Python and SQL • Experience developing and deploying Machine Learning and Statistical Models • Solid knowledge of Data Analysis, Data Modelling, and Feature Engineering • Experience working with large datasets and extracting actionable business insights • Strong understanding of Predictive Analytics, Customer Analytics, and business-driven data science use cases • Experience communicating analytical findings to technical and non-technical stakeholders • Strong analytical thinking, problem-solving, and critical reasoning skills • Familiarity with the full machine learning lifecycle, including data preparation, model training, validation, and deployment

🏖️ Benefits

• Meal allowance: €10.20/day • Flexible benefits plan • Private medical insurance • 22 days of annual leave, increasing every 3 years (up to 25 days) • Continuous learning via KLX – Keyrus Learning Experience • Collaborative, international, and human-centred work environment