Developer (Data Engineer/Data Scientist) - Universal Credit Full Service Data Delivery Team

Tender description

Who Speclialist Work With Working as part of a multi-disciplinary team with responsibility to provide data to operational sites and colleagues to allow them to track, understand and improve operational performance. Types of roles that are included in this team are Full Stack Web Developers, Data Engineers, Java Software Engineers, UX designers, Data Scientists, Data Analysts, BI reporting Analysts. What Specialists Work On Implement analytics in: cost to serve,personalised customer journeys,product recommendation,segmentation,predictive analytics for customer/claimant events. Develop machine learning algorithms to improve claimant journey and cost to serve for DWP. Extract Features from datasets and enrich data by joining datasets from multiple sources. Transform/manipulate data in various formats including JSON. Data Science Expert for UC area and domain expert for all UC data. Work with unstructured data such as free text in a variety of formats. Write code in a variety of languages:Spark, Python,R, SQL. Design and implement data visualisations using tools such as Shiny or visualisation tools like QlikSense or Business Objects. Where the Work Takes Place Caxton House, Tothill St, London Early Market Engagement Working Arrangements 5 days a week on-site working as part of a multi-disciplinary agile delivery team with work being specified by a work management system (JIRA). You will attend daily Town Halls, Stand-ups and relevant Show & Tells to monitor/discuss progress. Work Location Caxton House, Tothill St, London Security Clearance Security Checked clearance is essential Additional T&Cs Additional terms and conditions can be found via DWP’s eTendering system: 1. Register on the eSourcing portal (this is only required once): https://dwp.bravosolution.co.uk & click the link to register - Accept the terms & conditions & click 'continue' - Enter your correct business & user details - Note your chosen username & click 'Save'. You will receive an email with your password (keep this secure) 2. For further Assistance please consult the online help, or the eTendering help desk on Phone 0800 368 4850 or email help@bravosolution.co.uk. Skills & Experience Deep knowledge and at 3-5 years experience of using R and SQL Experience of data science tools and techniques 1 years experience using Spark Past experience working with semi structured data in json format and other unstructured formats Experience of using big data platform technologies - Hadoop, Hive, Mongo, Ability to create models and use advanced analytics techniques such as regression modelling, decision trees, product recommendation engines, machine learning, artificial intelligence Ability to understand business benefits and turn complex business problems into manageable data science projects Experience of free text analytics Able to develop POC applications and present findings back to stakeholders Experience working with DWP or similar organisation in the last 3 years. Nice to Haves No. of Specialists to Evaluate 3 Cultural Fit Criteria Demonstrate flexibility (e.g. the ability to shift tasks to meet changing priorities) Demonstrate successful collaborative working as part of a multi-supplier delivery team sharing knowledge within the team Meeting facilitation and chair person / leadership skills Assessment Method Evaluation Weighting Technical competence 70% Cultural fit 10% Price 20% Questions from Suppliers Budget range £740