Senior / Lead Data Scientist – Applied Statistics \& Machine Learning – €100,000+ A growing AI engineering consultancy in Frankfurt is hiring a Senior / Lead Data Scientist to help solve complex real-world problems across healthcare, insurance, finance, energy and manufacturing. The most successful people in this team are naturally sceptical. They question the data before the model. They care about statistical rigour. They understand that a surprisingly good result is often the first thing that deserves investigating. You’ll work directly with customers, taking projects from problem definition through to deployment and stakeholder presentation. The work is varied, technically challenging, and focused on delivering outcomes that stand up in production. Why this role stands out * Work on genuinely varied projects across multiple industries * High level of ownership and customer exposure * Strong engineering culture focused on quality over hype * Opportunity to grow into a Lead Data Scientist position What you’ll work on * Predictive analytics and machine learning projects across multiple industries * Statistical analysis of messy, incomplete and real-world datasets * Time series, tabular, text and occasionally image-based data problems * Customer-facing consulting and technical delivery * End-to-end project ownership from discovery through to deployment What they’re looking for * Several years of commercial Data Science or Machine Learning experience * Strong statistical foundations and a genuine understanding of uncertainty, hypothesis testing and model evaluation * Excellent Python skills and experience with modern ML frameworks If you’re the type of Data Scientist who wants to understand the problem before reaching for the algorithm, we’d love to speak with you. Data Science | Machine Learning | Statistics | Python | AWS | Time Series | Predictive Analytics | Applied AI | Consulting | Healthcare | Insurance | Finance | Frankfurt | Hybrid
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals w
About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. ### Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Type: Full-time, Remote### Role Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. ### Key Responsibilities Problem Framing \& Stakeholder Partnership + Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.). + Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability). Data Analysis \& Feature Engineering + Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. + Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices. + Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions. Model Development (Core ML) + Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data). + Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation. + Build time series models (statistical and ML/DL approaches) and validate with proper backtesting. + Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness. + Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making. Deep Learning + Build and train deep learning models using PyTorch or TensorFlow/Keras. + Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design). Evaluation, Explainability, and Iteration + Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports. + Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence. Productionization \& MLOps (Project-Dependent) + Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration. + Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans. Documentation \& Communication + Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders. + Create documentation and lightweight demos that make results actionable. ### Success in This Role Looks Like You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency). Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring. Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly. ### Required Qualifications 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior). Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). Strong SQL skills (joins, window functions, aggregation, performance awareness). Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset. Hands-on experience across multiple model types, including: + Classification \& regression + Time series forecasting + Clustering/segmentation Experience with deep learning in PyTorch or TensorFlow/Keras. Strong problem-solving skills: ability to work with ambiguous goals and messy data. Clear communication skills and ability to translate analysis into decisions. ### Preferred Qualifications Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows). Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining). Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks). Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker). Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls). Consulting or client-facing delivery experience. Certifications (Strong Plus) Candidates with at least one relevant certification are especially encouraged to apply: Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks) Databricks certifications (Data Scientist, Data Engineer, or related) ### Nice-to-Have Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests). Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products. Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). qUN1H2divA
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HEREWho may applyCurrent university students and recent graduates At Binance, data is at the heart of everything we do. We operate a cloud-native platform that supports tens of millions of users — enabling engineers and data scientists to unlock insights and drive innovation at scale. As a Data Scientist, you’ll work with petabyte-scale datasets and cutting-edge machine learning infrastructure to build impactful data products that touch millions of users globally. You’ll collaborate with talented engineers, analysts, product managers, marketers, and business teams to develop features, models, algorithms, and end-to-end solutions that push the boundaries of what’s possible with data and AI in crypto. ### Responsibilities Universe Risk Management: Conduct data analysis and modeling across key domains such as KYC, payments, credit, and exchange operations. Analyze user behavior and patterns to identify risk indicators and inform decision-making Personalized Services \& Anomaly Detection: Leverage our petabyte-scale data warehouse to perform in-depth user analysis. Build personalized services and develop automated systems for detecting abnormal user activity Blockchain-Based Data Insights: Extract and analyze blockchain data to generate predictive insights and tailored recommendations Customer Feedback \& Satisfaction Analysis: Apply machine learning techniques to evaluate customer feedback and satisfaction. Provide data-backed insights to guide product and service improvements ### Requirements Able to commit to a duration of 6 to 12 months. Currently enrolled as a full-time undergraduate or graduate student. A Master’s degree or higher in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics) is preferred. Demonstrated experience in developing machine learning models at scale, from experimentation through to deployment. Solid understanding of modern machine learning techniques and their underlying mathematics, including classification, recommendation systems, and optimization methods. Practical experience handling large-scale datasets; familiarity with distributed data processing is an advantage. Proficiency in Python, Java, or Scala is preferred. Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus. Hands-on experience in deploying machine learning models in production is a strong asset. Why Binance Shape the future with the world’s leading blockchain ecosystem Collaborate with world-class talent in a user-centric global organization with a flat structure Tackle unique, fast-paced projects with autonomy in an innovative environment Thrive in a results-driven workplace with opportunities for career growth and continuous learning Competitive salary and company benefits Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.* We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals w
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Research Scientist - Machine Learning San Francisco ML Team / Full-time / Hybrid Overview Extropic’s hardware massively accelerates certain kinds of probabilistic inference. Our ML team works on the science of training models in the thermodynamic paradigm, and we are looking for senior research and engineering talent to derive probabilistic ML theory, empirically demonstrate its scaling properties, and deploy performant models. Senior hires will be leading their own research direction and are therefore expected to quickly become experts across our abstraction stack, including the hardware, software, physics, and math. Responsibilities - Collaborate with senior researchers, residents, engineers, and physicists to derive the theory of new probabilistic models and their learning rules, including energy-based models and diffusion models. - Scale up experimentation infrastructure and optimize over the design space of models. - Implement, visualize, and evaluate new architectures, training a
scientific Pythondeep learning framework (Py...probability and linear algebradeep learning theory and li...theory of over-parameteriza...+4 more
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Advanced degree in Machine ...5+ years of experience in m...Strong expertise in natural...Proven track record of depl...Proficiency in Python and m...+3 more
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Advanced degree in Machine ...5+ years of experience in a...Strong expertise in natural...Proven track record of depl...Proficiency in Python and m...+3 more
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals w
Scientist, Machine Learning At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the cover of Science, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and unique foundation models fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success. The opportunity As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as par
Ph.D., M.Sc., or M.Eng. in ...4+ years of experience deve...Foundational knowledge of m...Proficiency in Python and d...Excellent presentation and ...