Senior Data Scientist

The company Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, the company now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

What you will do

• Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.

• Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.

• Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.

• Contribute to analytical planning and ensure alignment with overall business objectives.

• Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.

• Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.

What you bring

• Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).

• Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.

• Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).

• Experience leading or mentoring analytics teams and coordinating with business stakeholders.

• Excellent communication skills, able to translate between technical and business perspectives effectively.

• Solid understanding of business processes and data structures.

• Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value.

• Fluency in English for meetings with international clients.

Nice to have

• Hands-on experience with deep learning, computer vision, or generative AI projects.

• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.

• Experience with data visualization or BI tools for communicating insights.

When you join the company, you'll…

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.

• Be part of a global team with equal opportunities for collaboration across continents and cultures.

• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.

The company is an equal opportunity employer.