Data Science Consultant
Role details
Job location
Tech stack
Job description
stakeholder engagement skillsProactive, self-motivated, and adaptableStrong verbal, written, and presentation skillsAbility to build effective internal and external relationshipsStrong influencing and negotiation skillsCreative thinker with the ability to propose innovative solutionsPassion for continuous learning and self-developmentLeadership capability, either formally or through delivery ownershipTo qualify for this roleMulti-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence.Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments.Proven experience building, publishing, and supporting dashboards and reports using Power BIStrong experience and programming skills in languages such as Python and SQL and the ability to
Requirements
write complex SQL queries.Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks.Experience with data ingestion, transformation, and quality control processes.Excellent problem-solving skills and the ability to think critically under pressure.Strong communication and interpersonal skills, with the ability to work effectively with clients and stakeholders.Experience of leading technical and/or project teams.A proactive awareness of industry standards, regulations, and developments.Project lifecycle experience, having played a leading role in the delivery of end-to-end projects, as well as a familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing).Experience of DevOps and infrastructure deployments (Azure and Databricks).Ideally, you'll also haveDelivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya).Relational Databases and Data Warehousing concepts.Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx.Project experience using any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce.Cross and multi-platform experience.Financial services sector experience.Line management experience.Team building and leading.Mentoring/staff development experience.QualificationsWilling to work on client sites, potentially for extended periods.Willing to travel for work purposes and be happy to stay away from home for extended periods.Eligible to work in the UK without restriction.What we offer25 days holiday + bank holidays.5 days holiday buy/sell option.Discretionary Performance-based BonusPrivate medical insurance.Life cover.Cycle to work scheme.Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).Employee assistance programme.Bespoke online learning via Udemy for Business.#J-18808-Ljbffr Similar jobs, Data Architect / Technical Lead London / WFH to £115k Are you a skilled Data Architect with a strong knowledge of financial markets seeking an opportunity to progress your career? You could be joining a global technology consultancy with a range of banking, financial...