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BearingPoint

Senior Data Scientist

BearingPoint

. Design, develop, and implement advanced analytics and AI use cases end-to-end .

Posted 10/22/2026full-timeBucharest • RomaniaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing advanced analytics and AI solutions, with a strong foundation in data science methodologies and machine learning model development. Proficient in data extraction, analysis, and visualization, while effectively communicating insights to diverse stakeholders.

Highest-signal resume keywords
Master’s Degree In Data ScienceProficiency In SQLExperience With Machine Learning ModelsHands-On Experience With PythonExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data AnalysisPredictive ModelingStatistical AnalysisData PreparationMachine LearningData VisualizationData QueryingData ModelingModel DeploymentData Science
Soft Skills
CollaborationMentoringProactive MindsetClient-Facing ExperiencePresentation Skills
Tools & Technologies
PandasScikit-LearnTensorFlowKerasPyTorchSpark MLlibPower BITableau
Industry Keywords
Analytics StrategyData Management Best PracticesResponsible AIEnd-To-End Model LifecycleStructured And Unstructured Data

Tech Stack

Tools & technologies
KerasNoSQLPandasPythonPyTorchScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact
  • Design, develop, and implement advanced analytics and AI use cases end-to-end
  • Acquire data, deploy models, and operationalize analytics solutions tailored to client needs
  • Perform descriptive, diagnostic, and predictive analyses on large datasets
  • Uncover trends and patterns and provide actionable business insights and recommendations
  • Build, train, and validate predictive, classification, clustering, and other machine learning models
  • Interpret and visualize analytical results
  • Present complex findings clearly to technical and non-technical client stakeholders
  • Collaborate with clients to understand business challenges and data landscapes
  • Advise on analytics strategy, data management best practices, emerging technologies, and responsible AI
  • Coordinate project tasks and ensure timely delivery of high-quality results
  • Mentor junior analysts and data scientists
  • Contribute to knowledge sharing and capability building within the team

Requirements

What you’ll need
  • Master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field
  • A Bachelor’s degree combined with strong relevant experience will also be considered
  • Proven ability to extract, prepare, and analyze data from structured and unstructured sources
  • Strong proficiency in SQL and data querying
  • Familiarity with data modeling and database concepts; NoSQL knowledge is a plus
  • Proficiency in Python and/or R
  • Hands-on experience with pandas, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib, Power BI, or Tableau
  • Solid foundation in statistics and mathematics
  • Experience building and validating supervised and unsupervised machine learning models
  • Knowledge of the end-to-end model lifecycle from development to deployment
  • Excellent communication and presentation skills
  • Experience in a client-facing role or consulting environment
  • Several years, typically 3–5+ years, of hands-on experience in data analytics, data science, or a related field
  • Proven track record of delivering analytics or AI projects
  • Open, curious, and proactive mindset; ability to work independently and collaboratively
  • Fluency in English is required

Benefits

Comp & perks
  • Fixed salary with yearly evaluation
  • Performance-related bonus
  • Meal tickets
  • Easter and Christmas gift vouchers
  • Seniority bonus
  • Referral bonus
  • Peer-to-peer recognition
  • Extra paid vacation days
  • Hybrid working model
  • Quality private medical subscription for employee and their families
  • Gym options
  • Customized technical, functional, and soft-skills training paths
  • German and French language courses
  • Certifications
  • E-learning solution
  • Firm-wide development programs