Data Scientist

Location:

London, UK (London Bridge)

Interested in this role You can find all the relevant information in the description below.Work pattern:

Full-time (Hybrid), permanent, PAYESalary:

Mid-level: £40,000 - £65,000 per annum, DOE, plus staff EMI Options schemeReporting line:

to Senior Data ScientistDivision:

Data and TechnologyWe are looking for a Data Scientist with 2+ years of experience to join our fast-growing Data and Technology team and play a crucial role in developing and enhancing our NLP models and model framework. As a company, we harmonise anonymised consumer transaction data and create products for investment and corporate clients. Our products give real-time insight on revenue shifts, market share, consumer switching and online/store sales.About youYou are passionate about building scalable, secure and efficient data science products. You will have had real-world experience training machine learning models, either as a professional data scientist or in a closely adjacent role.You feel comfortable working in a fast-paced, rapidly changing start-up environment, which will require resilience and the ability to deal with ambiguity and less developed processes/systems.Key responsibilitiesAnalyse and develop NLP models for text classification to homogenise and tag transaction dataAssist in developing cloud infrastructure and data pipelines for deploying models (MLOps)Conduct exploratory data analysis for commercial, auditing and compliance teamsDevelop and implement efficient strategies for creating high-quality labelled training datasets, leveraging automation, weak supervision, active learning techniques and AIEssential skillsExcellent knowledge of Python for data scienceStrong SQL skillsExperience building, deploying and monitoring machine learning models on Azure, AWS and/or Databricks or similar platformsExperience with developing production code along with an understanding of source control via GitFast learner and comfortable with uncertainty and changeGood problem solving, communication and collaboration skillsDesirable skillsExperience working in NLP - Unsupervised Text Classification of unstructured data and/or working with LLMsExperience in the application of Software Engineering Principles in Data ScienceExperience in Big Data technologies such Spark/PySparkExperience working in Financial ServicesAbout Fable DataFable Data is a pioneering data and technology company transforming financial data into actionable insights. Our mission is to deliver cutting-edge solutions that empower businesses to make informed decisions. We are a small, collaborative and tight-knit team. Our values encapsulate this: "We do the right thing", "We work and grow, together" and "We solve difficult things in smart ways".Benefits:30 days holiday plus bank holidaysStaff EMI options scheme (eligible after 6 months)Medical insuranceA flexible, hybrid working environment with the option to work from home 3-4 days a weekOpportunity to work in a dynamic and innovative company.Professional development and career growth opportunities.The Interview ProcessPre-screening call

- online (30 mins.), to assess initial interest and suitabilityCompetency-based Interview

- two or more stages, online/in the office (1 hour) with competency-based and behavioural questions to assess technical skills, practical knowledge and overall role fitDecisionOffer of Employment

issued"Get to know us"

meetings and/or calls with other members of Fable Data team for you to learn more about the role, company and future colleagues while considering the offerPlease note that applicants must have the right to work in the UKFable Data is an equal opportunity employer and does not discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability, or sexual orientation. All candidates will be assessed based on merit, qualifications, and their ability to perform the role requirements.How to Apply:

Interested candidates should apply directly via the Apply For This Job link or relevant jobs boards/LinkedIn.

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