Lead Data Scientist Data Science Team · London, UK · ...

We are looking for an agileLead Data Scientistwho cancontribute to all stages of our data science client projects. Thismeans that as well as developing cutting-edge machine learningsolutions, we are looking for someone who can also design datascience solutions from scratch and present their team's work in anengaging and informative manner. If you enjoy seeing your workdeployed into ‘real-life’ applications, this is the perfect rolefor you. Not only will your work directly contribute to our clientdeliverables, but you will have the opportunity to experiment witha range of cutting-edge techniques and deliver full-stack datascience projects across a range of industries and geographies. Ifthis sounds like you, we can't wait to hear from you! KEYRESPONSIBILITIES: - Lead the design, development, testing, andevaluation of data science solutions for the successful delivery ofmultiple client projects - Build strong client relationships andlead project centred client interactions - Oversee the delivery ofhigh-quality code and successful project outcomes - Train anddeploy state-of-the-art machine learning and reinforcement learningmodels - Build AI systems using Large Language Models - Buildprocesses for extracting, cleaning and transforming data (SQL /Python) - Ad-hoc data mining for insights using Python + Jupyternotebooks - Actively seek out new opportunities to learn anddevelop - Be an example of data science best-practice e.g. Git /Docker / cloud deployment - Write proposals for exciting new datascience opportunities - Line manage and provide career mentorshipto other data scientists REQUIRED SKILLS: - Degree in aquantitative field such as mathematics, statistics or data science- Experience of leading meetings and presenting technical conceptsto stakeholders - Experience of successfully leading complex datascience and AI projects, including a holistic understanding of thedata science development process, from design through todeployment, and associated project management and risks -Experience of completing code reviews in Python and SQL throughGit, and applying other best practices to technical projects -Experience and understanding of applied machine learning techniquesin Python (e.g. xgboost, regression, decision trees) - Practicalknowledge and experience of developing AI solutions using advancedmachine learning techniques (e.g. reinforcement learning, deeplearning, LLMs) - Experience of using different analysis techniquesto draw insight from complex data, using tools such as Python andSQL - Experience of successfully mentoring and managing datascience teams - Strong foundations in mathematics and statistics -Excellent communication skills through written reports andpresentations - Organisational skills (e.g. planning, timemanagement) - Excellent Python, including relevant libraries fordata analysis and machine learning (e.g. sklearn, Pandas, NumPy)and at least one deep learning framework - Strong SQL for dataanalysis and manipulation - Strong problem-solving and analyticalskills, with high attention to detail - Ability to thinkstrategically and make complex decisions - Ability to effectivelyline manage and mentor others INTERVIEW PROCESS: Stage 1: 20 minvideo call with the Hiring Manager Stage 2: 60 min technicalinterview Stage 3: 90 min F2F interview incl. scenario-based taskin our London office OUR COMMITTMENT TO DEI: At ADSP, we arecommitted to fostering an inclusive hiring process and believe increating an environment where all candidates have equalopportunities to succeed. If you require any reasonable adjustmentsduring the application or interview process, please do not hesitateto reach out to us at #J-18808-Ljbffr