Data Scientist Lead

hace 1 semana


Cali, Valle del Cauca, Colombia Endava A tiempo completo

**Company Overview**

At Endava, we combine world-class engineering with industry expertise and a people-centric mindset to drive meaningful change. For over two decades, we have been harnessing technology to create dynamic platforms and intelligent digital experiences that transform businesses.

**Competitive Salary Package**

We offer a competitive salary package, including a base salary of **$120,000 - $180,000 per year**, depending on experience, as well as a share plan, company performance bonuses, value-based recognition awards, and referral bonus.

**Job Description**

We are seeking an experienced Senior Data Scientist to join our Data&AI team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics, with a proven track record of developing innovative AI solutions and providing actionable insights that drive strategic decision-making.

Key Responsibilities:

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  • Work closely with clients to understand their business needs and develop tailored AI solutions.
  • Develop and implement machine learning models and algorithms using Python, SQL, and relevant frameworks.
  • Analyze complex data sets and provide actionable insights that drive business growth.
  • Maintain and improve existing AI products and solutions, as well as explore new opportunities for innovation.
  • Collaborate with cross-functional teams to ensure seamless delivery of projects.

**Requirements:**

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  • More than 5 years of experience in data science, AI, or related fields.
  • Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with BI tools such as Tableau, Power BI, or similar for data visualization.
  • Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics.
  • Experience in managing a broad range of AI products and solutions, as well as Generative AI (GenAI) solutions.
  • Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms.
  • Knowledge of data warehousing concepts and ETL processes.
  • Excellent problem-solving and analytical skills.
  • Effective communication and client-facing skills.
  • Experience in contributing to pre-sales and business development activities.
  • Certifications in AI/ML, data science, or cloud platforms are a plus.
  • Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus.

**Benefits:**

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  • Global career opportunities.
  • Non-linear career paths.
  • Internal development programmes for management and technical leadership.
  • Complex projects.
  • Rotations.
  • Internal tech communities.
  • Training.
  • Certifications.
  • Coaching.
  • Online learning platforms subscriptions.
  • Pass-it-on sessions.
  • Workshops.
  • Conferences.

**Language:** English


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