Data Scientist Lead
hace 1 semana
**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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