Senior Data Science/AI Specialist at Endava

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI, Machine Learning, Python, SQL, Data Visualization, Cloud Hosting, Statistical Modeling, Natural Language Processing, Computer Vision, Predictive Analytics, Business Intelligence, Client Collaboration, Data Integration, Pre-Sales, Business Development

Industry

IT Services and IT Consulting

Description

Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job 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. Qualifications 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. Additional Information At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

Responsibilities

The Senior Data Scientist will collaborate with clients to understand their business needs and design AI solutions that deliver business value. Responsibilities include data analysis, modeling, and creating visualizations to present insights effectively.