Our Consulting team at BearingPoint is dedicated to optimizing client business operations through advanced ERP and CRM systems. With deep expertise in SAP across various domains like finance, logistics, data, and technology, we streamline processes and enhance decision-making efficiency. Our proficiency in Salesforce helps us improve customer relationships with innovative strategies. We leverage data tools like PowerBI for insightful analytics and excel in Microsoft cloud technologies, particularly Azure, to provide secure and scalable solutions. Additionally, our team develops integrated mobile front-end and back-end applications, ensuring user-friendly mobile access to ERP and CRM systems.
BearingPoint's consulting services are designed to deliver tailored solutions that meet the unique needs of each client, driving growth and operational excellence. We pride ourselves on our client-centric approach, focusing on delivering measurable results and sustainable improvements.
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.
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.
For more information, please visit: www.linkedin.com/company/bearingpoint
About BearingPoint
BearingPoint is an independent management and technology consultancy with European roots and a global reach. We help businesses transform by combining deep industry expertise with strong capabilities in strategy, operations, and technology. Dedicated SAP and Microsoft transformation units, a strong focus on AI, and outcome-based products enable us to provide tailored, innovative solutions that create measurable and sustainable value.
In addition to our core consulting operations, we run two joint ventures. Arcwide, our joint venture with IFS, specializes in business transformation enabled by IFS technology. BearingPoint North America, our joint venture with ABeam Consulting, focuses on consulting excellence and business transformation built on SAP.
BearingPoint works with many of the world’s leading companies and public-sector organizations. Together with its strategic alliance partner ABeam Consulting, the firm brings together more than 15,000 professionals and serves clients in over 70 countries, delivering seamless business transformation, strengthening performance, and driving sustainable impact.
BearingPoint is recognized among TIME World’s Best Companies and Forbes World’s Best Employers. The firm is also a certified B Corporation, committed to responsible business and creating long-term value for organizations, people, and society.
Together with our colleagues from Romania, the Czech Republic and India, we are part of BearingPoint’s Cross-Shore Enablement Hub (CSH), which offers a wide range of expertise.
Together, we are more than business. Join us.
