Senior Applied Data Scientist

Hirehoot
London
1 month ago
Applications closed

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Senior Machine Learning Engineer

Machine Learning Performance Engineer

Employment Type: Full Time

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.Locations to Work: Hybrid (London, UK)Position Roles: Data ScientistWho you are As a Senior Data Scientist at causaLens, you will play a pivotal role in advancing our decision-making technology. This position demands a strong foundation in data science, particularly but not limited to time series, and using Python as the primary programming language. Some of your responsibilities will include:Using our Agentic AI framework to build data science solutions and models, using our platform on client-supplied data sets and use cases.Collaborating directly with business stakeholders to integrate domain knowledge into the modelling process, demonstrating how insights can enhance decision workflows.Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully deploy agentic workflows into customers' strategies.Working closely with the product and engineering teams to shape the development of our platform.Communicating technical topics to non-technical audiences.What the job involves We are looking for a Senior Data Scientist based in London to join our mission to create AI Data Scientists to radically advance decision-making for leading enterprises. You will join a team of 9 Data Scientists. We hire the top 1% of Data Science talent to create an intellectually stimulating environment where you can thrive and learn. You will be helping leading enterprises build their custom data science agents and help our users get the maximum out of the platform.At least 2 years of commercial data science experience using Python.Please note that this and the following bullet imply a significant breadth and depth of technical skills we will be testing for during the interview process - e.g., Statistics; other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP, etc.Strong academic record in a quantitative field (MEng, MSci, EngD or PhD).Excellent and proven communication and teamwork skills.Previous experience in high-growth technology companies or technical consultancy is a plus.Previous experience in sales, pre-sales, and/or other technical evangelism is a plus.Experience with consulting and/or customer-facing roles, especially in the supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or the public sector is a plus.Experience with LLM and RAG, GenAI, and agentic workflows is a plus.Interview Process Our interview process consists of a few screening interviews and a 'Day 0' which is spent with the team (in-office). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.

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