Senior Data Science - AI Specialist

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Endava

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Digital Strategy • Continuous Delivery & DevOps • Digital Execution • Applications Management • UX/Creative Services

10,000+

💰 Post-IPO Debt on 2023-02

Description

• We are seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our Data&AI team. • The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics. • You will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making. • Key Responsibilities: Client Collaboration: Work closely with clients to understand their business objectives, data requirements, and AI & DS needs. • Design & Build Data Science & AI Projects: Design and implement data science and AI projects, ensuring they meet client objectives and deliver business value. • Data Analysis and Modeling: Develop and apply advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems. • Ability to adapt to the latest AI policies according to different AI systems risk levels and to make AI systems decisions transparent and interpretable. • Cloud Hosting Expertise: Utilize knowledge of cloud hosting environments, including AWS, Azure, and other relevant platforms, to deploy and manage AI & DS solutions effectively. • Data Integration: Integrate and analyze data from multiple sources to create unified, accurate datasets for AI & DS modeling and analysis. • Data Visualization: Create visually appealing and interactive dashboards and visualizations to present AI & DS-driven insights in a comprehensible manner. • Stakeholder Communication: Communicate complex AI & DS findings to non-technical stakeholders effectively. • Pre-Sales and Business Development: Collaborate with the sales team to identify opportunities, contribute to proposal development, and present AI & DS solutions to prospective clients.

Requirements

• 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. • Business proficiency level in English is a must.