Data Scientist

Experis
City of London
1 day ago
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Senior Data Scientist

Employment Type:

Permanent

Location:

[Specify location or remote flexibility]

Role Overview:

We are seeking a highly skilled Senior Data Scientist with expertise in multi-cloud environments and a strong background in consulting. The ideal candidate will lead advanced analytics projects, design scalable data solutions, and provide strategic insights to clients across diverse industries. This role requires a blend of technical proficiency, business acumen, and excellent communication skills.

Key Responsibilities:

  • Design and implement data science models (predictive, prescriptive, and descriptive analytics) to solve complex business problems.
  • Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Lead data strategy and advisory engagements, providing consulting expertise to clients.
  • Develop and optimize ETL pipelines, data lakes, and data warehouses in cloud environments.
  • Mentor junior team members and contribute to best practices in data science and cloud architecture.
  • Stay updated on emerging technologies in AI/ML, cloud computing, and big data.

Required Skills & Experience:

  • 5+ years of experience in data science roles, with proven success in delivering end-to-end projects.
  • Strong proficiency in Python, R, and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc.
  • Solid understanding of data engineering principles, SQL, and distributed computing frameworks (Spark, Hadoop).
  • Experience in consulting or client-facing roles, with ability to manage stakeholders and deliver strategic insights.
  • Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools (Power BI, Tableau).
  • Excellent communication and presentation skills.

Preferred Qualifications:

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field.
  • Certifications in AWS/Azure/GCP or Data Science/ML.
  • Experience with MLOps and CI/CD pipelines for ML models.
  • Familiarity with data governance and compliance frameworks.

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