Data Science Manager

b Overview /b p In this role you will lead and inspire a team of Data Scientists to deliver bespoke machine learning solutions that address client challenges. You will drive end-to-end data science work, from discovery analytics to deployment, shaping the analytical direction for client teams. You’ll work with cross-functional partners to scale models and develop reusable assets, while contributing to sales activities and client communications. This is an opportunity to influence complex projects within a global, innovative Data AI practice. /p b Pay / Benefits /b ul li Competitive basic salary /li li 30 days’ vacation per year /li li Gym subsidy /li li Private medical insurance /li li 3 extra days leave per year for charitable work /li li On-site client work flexibility /li /ul b Responsibilities /b ul li Lead, motivate and inspire teams of Data Scientists /li li Create bespoke machine learning solutions to model/solve problems and develop the team /li li Solve challenging business problems using advanced ML methods (e.g., Deep Learning, quantitative analytics) /li li Understand business requirements and support business case development /li li Run discovery analytics to identify new opportunities /li li Partner with developers/engineers to deploy and scale ML models on critical projects /li li Devise reusable assets and best practices for future problems /li li Lead analytical discussions and influence client analytical direction /li li Communicate and guide senior client leadership and teams /li li Contribute data science expertise to new sales activities /li /ul b Key requirements /b ul li Relevant work experience in data science, machine learning, and business analytics /li li Proficiency in coding languages (Python, R, Scala) /li li Strong database tech expertise (SQL, ETL, No-SQL, DW) and Big Data tools (pySpark, Hive) /li li Experience with structured and unstructured data (text, PDFs, images, audio/video) /li li Knowledge of ML techniques and model fine-tuning (e.g., XGBoost, Deep Neural Networks, Transformers) /li li Experience with ML libraries (Fastai, Keras, TensorFlow, PyTorch, scikit-learn, HuggingFace) /li li Ability to learn new techniques and apply them quickly /li li Cloud experience (AWS, GCP, or Azure) /li li Specialised visualization skills (D3.js, ggplot) /li li Strong verbal/written communication and data presentation skills /li /ul ul li Leadership and team motivation /li li Strategic thinking and business acumen /li li Effective communication with senior stakeholders /li li Python /li li R /li li Scala /li /ul