Data Scientist & Senior Data Analyst – Data Analytics & AI

Role Summary: Our Data & Analytics consulting team is dedicated to helping clients harness data and artificial intelligence to optimize business operations and drive informed decision-making. As a Data Scientist & Senior Data Analyst – Data Analytics & AI , you will lead and deliver advanced analytics initiatives, machine learning projects, and data-driven solutions for clients across diverse industries. You will collaborate with cross-functional teams to design sophisticated analytics use cases, implement cutting-edge AI-driven strategies, and translate complex data into actionable business insights. We pride ourselves on a client-centric, results-oriented approach – delivering measurable outcomes and sustainable improvements through innovation in data and AI. Key Responsibilities: Analytics Solution Delivery: Design, develop, and implement advanced analytics and AI use cases end-to-end, from concept and data acquisition to model deployment and operationalization, all tailored to client needs. Data Analysis & Insights: Perform in-depth data analyses (descriptive, diagnostic, predictive) on large datasets. Uncover trends and patterns, and support clients with clear, impactful insights and recommendations that drive data-informed business decisions. Machine Learning & AI Development: Build, train, and validate machine learning models (e.g., predictive models, classification, clustering) and AI solutions using state-of-the-art tools and frameworks. Ensure models are robust, reliable, and deliver demonstrable business value. Results Presentation & Communication: Interpret and visualize analytical results. Present complex findings in a clear, concise manner to both technical and non-technical client stakeholders, enabling them to understand and act on the insights. Client Collaboration: Work closely with clients to understand their business challenges and data landscape. Advise on analytics strategy, data management best practices, and opportunities to leverage emerging technologies (such as generative AI ), applying responsible AI practices to ensure ethical, sustainable outcomes. Project Leadership & Mentoring: Coordinate project tasks among team members, ensuring timely delivery of high-quality results. Provide mentorship to junior analysts and data scientists, and contribute to knowledge sharing and capability building within the team. Required Qualifications & Skills: Educational Background: Master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. (A Bachelor’s degree combined with strong relevant experience will also be considered.) Data Analysis & Engineering: Proven ability to extract, prepare, and analyze data from diverse sources (structured and unstructured). Strong proficiency in SQL and data querying; familiarity with data modeling and database concepts (NoSQL knowledge is a plus). Programming & Tools: Proficiency in analytics programming, especially Python (and/or R). Hands-on experience with data science libraries and frameworks (e.g., pandas , scikit-learn , TensorFlow , Keras , PyTorch , Spark MLlib ) and data visualization tools (e.g., Power BI , Tableau ). Machine Learning Expertise: Solid foundation in statistics and mathematics to develop, validate, and interpret complex analytical models. Experience building machine learning models (supervised and unsupervised) and knowledge of the end-to-end model lifecycle from development to deployment. Consulting & Communication: Excellent communication and presentation skills. Ability to convey technical concepts and insights in a clear, compelling way to business stakeholders. Experience in a client-facing role or consulting environment, demonstrating a client-focused approach and the ability to adapt solutions to different business contexts. Professional Experience: Several years (typically 3–5+ years) of hands-on experience in data analytics, data science, or a related field. Proven track record of successfully delivering analytics or AI projects, ideally with experience in a consulting firm or similarly fast-paced, project-driven environment. Mindset: An open, curious, and proactive mindset. Comfortable working both independently and as part of a collaborative team. Passionate about continuous learning and staying up-to-date with the latest trends in data analytics and AI. EU citizenship or Czech Permanent Residency and already living in the Czech Republic . Preferred / Nice-to-Have Skills: Cloud & Big Data: Experience with cloud-based data platforms or big data technologies (e.g., Azure, AWS, GCP, Databricks, Snowflake, Hadoop/Spark). Exposure to data pipeline engineering or MLOps practices for deploying and managing models in production. Advanced AI & NLP: Familiarity with natural language processing (NLP) techniques or generative AI (e.g., working with large language models) and a keen interest in applying these in business contexts. Domain Expertise: Background in specific industry domains (such as finance, supply chain, telecommunications, etc.) that can help contextualize analytics solutions for clients. Additional Languages: Fluency in English is required. Proficiency in other languages (e.g., German or French) is a plus, given our international client base. Offer: Joining BearingPoint as a Data Scientist & Senior Data analyst in Data Analytics & AI means being part of a dynamic international consulting environment that fosters growth and innovation. We provide: Attractive compensation package: Our compensation package includes a fixed salary with yearly evaluation and performance-related bonus, as well as seniority, referral bonus, and peer-to-peer recognition. Health and Well-being: Our benefits package includes Multisport card, private medical subscription at Canadian Medical, Prague transportation benefit (Lítačka), pension insurance contribution, sick days, hybrid working model, seniority vacation days, and more. Continuous Learning & Growth: A learning-oriented culture with customized training paths – from technical and industry-specific training to soft skills and language courses – as well as support for professional certifications. You will work on a variety of challenging projects with leading organizations, gaining exposure to the latest data technologies and AI methodologies while being guided by experienced mentors. Inclusive Team Culture: A collaborative, inclusive environment that values diversity, knowledge-sharing, and entrepreneurial spirit. As part of BearingPoint’s global network (with 10,000+ professionals in 70+ countries), you will engage with a broad community of experts. Within our Romanian cross-shore hub (850+ colleagues across several cities), you’ll be part of a supportive team that encourages innovation and teamwork. We are excited to welcome data-driven innovators who are passionate about leveraging data and AI to solve real business problems. If you’re looking to advance your career in consulting and drive meaningful impact through analytics and AI, we’d love to hear from you! For more information, please visit: About BearingPoint BearingPoint is an independent management and technology consultancy with European roots and a global reach. The company operates in three business units: Consulting, Products, and Capital. Consulting covers the advisory business with a clear focus on selected business areas. Products provides IP-driven digital assets and managed services for business-critical processes. Capital delivers M&A and transaction services. BearingPoint’s clients include many of the world’s leading companies and organizations. The firm has a global consulting network with more than 10,000 people and supports clients in over 70 countries, engaging with them to achieve measurable and sustainable success. BearingPoint is a certified B Corporation, meeting high standards of social and environmental impact. In the Czech Republic, BearingPoint currently operates with one office in Prague. We work closely with all BearingPoint entities and offer technology and management consulting services with a human touch to both local and international top clients. Our office in Prague allows us to leverage work with customers who have large operations and affiliates in the Czech Republic and other countries in the heart of Europe. Together with our colleagues from Romania, Portugal, and India, we are part of BearingPoint’s Cross-Shore Enablement Hub (CSH) which offers a wide range of Consulting expertise.