Data Scientist - Software Development

Job Description

Welcome to Curve Analytics! Were an Analytics and Insights company that helps businesses and brands unlock consumer opportunities by realising the potential of data.Our work covers:* *Digital Insights Software: *We design, develop and industrialise cutting-edge,user friendly and truly novel software solutions that drive advantage through data analytics and machine learning* *Consumer Research and Insights: *We deliver inspirational insights to answer organisations most strategic business questions and challenges**Analytics Consulting: *We work in close partnership with business and technology leaders to transform analytics across the organisationOur mission is to disrupt the insights and analytics industries by realising the extraordinary insights potential of digitalconsumer data. For our clients, this means revealing a world of new consumer insights possibilities, delivered through a seamless and compelling combination of insights software, research and consultancy. We do this through combining next-gen methods, strategicthinking and close collaboration, enabling brands to get ever closer to what their consumers really need and want.Over the past 24 months, our company has grown rapidly from 3 to 40 people, and were now making strategic investments centred around Software-as-a-Serviceofferings targeted towards high potential, differentiated use cases. We are looking for a skilled Data Scientist to join our team of Software Engineers and drive the development of Curves first ML and NLP-centric SaaS product. Youll work as part of a cross-functionalteam of Developers, Engineers and Analytics professionals, from our WeWork office based in Aldwych, London.***What youll be doing:** Develop and lead advanced analytics and machine learning efforts to enhance Curves Digital Insights SaaS products. We leveragea range of machine learning, natural language processing (NLP), geospatial analysis, clustering techniques to deliver actionable insights* Propose and implement novel NLP approaches to extract valuable insights from online reviews* Perform feature engineeringand analytics to identify and implement new features and functionalities* Work with engineering and product teams to turn prototypes into robust, reliable solutions* Drive innovation by identifying new data sources and product ideas that improve our solution*Conduct research and implementation of novel machine learning and statistical approaches to address medium-to-long term product problems* Collaborate with a variety of teams including product management, engineering, marketing and others* Establish scalable,efficient, automated processes to boost team productivity, such as model development, model validation and model implementation***What were looking for:** Bachelors degree or higher in an applicable field such as Computer Science, Maths or similar Scienceor Engineering discipline, or comparable professional experience* 2+years experience in developing and productionising Advanced Analytics and Machine Learning models, ideally in a SaaS context* Experience designing and recommending workflows and establishingbest practice when building and experimenting with machine learning models* Strong Python and other programming skills* Experience in using SQL for large datasets* Experience working within an Agile environment and with Agile development methods, e.g., Scrum,Kanban, Jira, Confluence* A self-starter, excited to join a software team early in its life and shape what we do, and how we do it* Strong attention to detail***Nice to have or excited to learn:** Knowledge of cloud architecture, ideally AWS* Knowledge ofdigital consumer data sources such as Social Media, Online Reviews, Clickstream and others***Key Requirements:** Professional working proficiency in English* Eligibility to work in the UK-* *Competitive Salary*: Salary is important and so we pay competitivelyversus other consultancies.* *Annual Leave*: 25 days holiday per year plus bank holidays* *Annual Bonus*: Our Annual Bonus is based on company and individual performance.* *Learning, Development & Certifications*: Development is at the heart of everythingwe do.You will be able to create a Personal Development Plan, benefit from internal trainings and be able to take external courses and certifications.* *Generous Pension*: You can expect to receive a very good pension contribution.* *A Positive Company Culture:*We take a proactive approach in fostering a positive and supportive work environment where everyone can grow and thrive. We also have a vibrant social culture with frequent social events and wellness initiatives.* 30 minute interview with People and Operationsteam* 45 minute interview with Senior member of Data Science and Engineering team* 30 minute interview with Head of Data Science and Engineering teamPython, Machine Learning, NLP, Pandas, ScikitPython, Machine Learning, NLP, Pandas, Scikit, Big Data, ArtificialIntelligence, Jupyter, A/B Testing, Git, Agile, Jira