Silverspin

Junior Data Scientist

Silverspin

full-time

Posted on:

Location Type: Hybrid

Location: Sweden

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Job Level

Junior

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformPythonScalaSparkSQL

About the role

  • Design, develop, and deploy machine learning and statistical models to support predictive and prescriptive analytics across business processes
  • Analyse large, complex datasets to uncover patterns, trends, and actionable insights that drive strategic decision-making
  • Collaborate with cross-functional teams to translate business requirements into data-driven solutions and integrate models into production systems
  • Perform feature engineering, data preprocessing, and exploratory data analysis to ensure high quality inputs for modelling
  • Evaluate and optimize model performance through hyperparameter tuning, validation techniques, and continuous monitoring
  • Follow best practices for model lifecycle management, including versioning, retraining, and deployment in cloud environments
  • Ensure data quality, integrity, and compliance with security standards throughout all analytical workflows
  • Communicate findings and recommendations clearly to technical and non-technical stakeholders through reports, dashboards, and presentations
  • Stay current with emerging trends in machine learning, AI, and data science to continuously improve methodologies and tools
  • Document processes, methodologies, and data models to promote transparency and knowledge sharing

Requirements

  • Strong analytical and problem-solving skills
  • Strong communication skills, capable of explaining complex concepts to diverse audiences
  • Ability to work independently and collaboratively in a rapidly evolving environment
  • Attention to detail and commitment to data accuracy and quality
  • Proactive, innovative mindset with a willingness to learn and adapt
  • Strong organizational and time management skills
  • Proven experience as a Data Scientist or similar role
  • Proficiency in programming languages such as Python or Scala
  • Expertise in machine learning frameworks and libraries (e.g., XGBoost)
  • Knowledge of statistical modelling, predictive analytics, and data visualization tools
  • Experience with SQL and working with large-scale datasets
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Understanding of data pipeline orchestration and ETL processes
  • Experience with CI/CD pipelines using tools such as GitLab or GitHub
  • Knowledge of big data tools (e.g., Spark) and real-time analytics
  • Advanced degree in Data Science, Computer Science, Statistics, or related field
  • Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Azure Data Scientist Associate)
Benefits
  • Competitive salary and benefits
  • Opportunities to learn, grow, and develop
  • A creative, collaborative team environment
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningstatistical modelspredictive analyticsprescriptive analyticsfeature engineeringdata preprocessingexploratory data analysishyperparameter tuningSQLbig data
Soft Skills
analytical skillsproblem-solving skillscommunication skillsattention to detailorganizational skillstime management skillsproactive mindsetinnovative mindsetability to work independentlycollaborative skills
Certifications
AWS Certified Machine Learning SpecialtyAzure Data Scientist Associate