Ciklum is looking for a Principal Data & AI Consultant to join our team full-time in Germany.We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.About the role :As a Principal Data & AI Consultant, become a part of a cross-functional development team engineering experiences of tomorrow.Responsibilities :Client engagements, account strategy & delivery responsibility within Data Science or AI Engineering domain(s)Leading client development or enhancement of their Data & AI strategy to align with Business objectivesAbility to support hands on development tasks where necessary / requiredTechnical authority for solution design and development through client engagementsInteracts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliabilityCollaborate on commercial development of account(s) with Account Manager & delivery teamSupport sales function through providing expert technical advice and thought leadershipGenerate content & materials in support of RFP or other bidsOwnership of the creation and maintenance of sales support content & training materials for the sales teamCollaboration on creation or adaptation of our GTM strategy & service offeringsInternal resource management / team building and managementSupport for recruitmentManagement of Capacity & Capability within your team aligned with client demand and our service offeringsMentoring members of your team and other members of the service line cross-skillingLeadership role(s) within internal innovation initiative, including development of prototype or demo solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data setsProvide Thought Leadership within the service by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processesContribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices.Requirements :We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit!General technical requirements :BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fieldsStrong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine LearningProficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science or AI solutionsHands-on experience with various machine learning techniques, including but not limited to :RegressionClassificationDimensionality reductionProficiency in Python for developing machine learning models and conducting statistical analysesStrong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectivelySpecific technical requirements :Data Science or AI / ML strategyData Science or AI / ML solution architectureProficiency in development / languages related to data processing, data manipulation, sampling, and reporting. (Python / SQL / Java / Scala / etc.)Experience working with imbalanced datasets and applying appropriate techniquesExperience with time series data, including preprocessing, feature engineering, and forecastingExperience with outlier detection and anomaly detectionExperience working with various data types : text, image, and video dataFamiliarity with AI / ML cloud implementations (AWS, Azure, GCP, NVidia) and cloud-based AI / ML services (e.g., Amazon SageMaker, Azure ML)Domain experience :Industry knowledge and experience in one of the following; BFSI, Manufacturing, Retail / Consumer Goods, Healthcare, Energy or Utilities, TechExtensive experience working with POS systems data, including transaction records, SKU-level details, and understanding of sales cyclesKnowledge of retail operations, including merchandising, store layouts, product placements, and how these factors impact sales and customer engagementFamiliarity with inventory management data, demand planning, and supply chain logistics, including forecasting stock levels and minimizing overstock / understock scenariosExperience working with multiple data sources from online and offline retail channels (e.g., e-commerce platforms, in-store sales) and integrating them to deliver a unified customer viewExpertise in building models to predict future demand for products based on historical sales data, seasonality, promotions, and external factors like economic trendsStrong experience in developing personalized product recommendation systems using collaborative filtering, content-based filtering, or hybrid models to enhance the customer shopping experienceExpertise in association rule mining to identify frequently bought-together items for cross-selling and upselling opportunitiesAbility to develop predictive models for customer churn, identifying at-risk customers and designing targeted retention strategiesExpertise in developing personalized customer experiences, from personalized promotions to tailored product recommendations based on real-time customer interactionsKnowledge of data privacy laws and frameworks like GDPR, CCPA, and PCI DSS (Payment Card Industry Data Security Standard) to ensure the secure handling of customer data and payment informationExpertise in managing sensitive consumer data, including PII (Personally Identifiable Information), and implementing consent-based data collection practices to protect customer privacyFamiliarity with Customer Relationship Management (CRM) systems (e.g., Salesforce, HubSpot) for analyzing customer interactions and optimizing marketing and sales strategiesAbility to work with merchandisers, marketing teams, store managers, and supply chain teams to ensure that data-driven insights are actionable and aligned with business goalsBusiness-related requirements :Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project executionAbility to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methodsExcellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levelsExperience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization / orchestration (e.g., Kubernetes)Experience in deep learning development using TensorFlow or PyTorch librariesExperience with Large Language Models (LLMs) and Generative AI applicationsAdvanced SQL proficiency, with experience in MS SQL Server or PostgreSQLFamiliarity with platforms like Databricks and Snowflake for data engineering and analyticsExperience working with Big Data technologies (e.g., Hadoop, Apache Spark)Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j)Research experience with peer-reviewed publicationsCertifications in cloud-based machine learning services (AWS, Azure, GCP)What`s in it for you?Care : your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and Mental Health programsTailored education path : boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certificationsGrowth environment : share your experience and level up your expertise with a community of skilled professionals, locally and globallyOpportunities : we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potentialGlobal impact : work on large-scale projects that redefine industries with international and fast-growing clientsWelcoming environment : feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building eventsBe bold, not bored!Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #J-18808-Ljbffr