Average Data Scientist salary in City of London

As part of the Analytics Team, you will work closely with the Data & Analytics Manager and other colleagues across data strategy, sales, account management and marketing. You will be supported by colleagues with a range of industry and technical experience, working on projects to help our clients apply data analysis and insight to their data-driven marketing campaigns. Principal responsibilities will involve: Provide marketing insights (market sizing, customer profiling etc) to a range of clients across many different sectorsApplication of predictive modelling and machine learning techniques to optimize client marketing strategyDevelopment of new predictive models and application of existing models to score populations in readiness for marketing campaignsValidating, cleansing, de-duplicating, importing, extracting and manipulating data from a variety of sources and formats for analysisSummarising results and presenting to internal and client teamsHelping others in the company understand the work done and why it will be of benefit to our clients including pre-sales activity with clients to • persuade them of the value of analysis and insight workQA own work and that of others What Success Looks Like in the Role Clear, concise, and insightful data analytics which enable our clients to make sound business decisions based on factAbility to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client / industry needContinued improvement of Sagacity’s Product Suite through the delivery of robust data insightAbility to take accountability and ownership for client and internal deliverablesWork as part of a Data Analytics team proving knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team’s skill sites and drive continuous learning Competencies and Behaviours 2+ years analytics / data science experienceEducated to degree level - ideally from a computing, numerate or business-related degreeStrong understanding of statistical methods (including modelling techniques such as logistic regression and gradient boost decision trees) and statistical programming languages such as Python or RExperience with data manipulation and visualization tools and techniques (Databricks, SQL, PowerBI)Highly numerate with strong attention to detailSolutions orientated with natural problem-solving skillsSelf-motivated and pro-active, with an ability to multi-task, prioritise, be organised and plan your workExcellent communication skills, both written and verbal, with a willingness to engage and influence othersA team player with a positive attitude; personable, adaptable and willing to learnAre flexible and self-motivatedAre good under pressureAble to travel throughout the UKHave the right to work in the UKHave a commitment to personal development

I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to join a small, high-performing team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python.My client has an office based in London however, this role can be fully remote.Required skills: Proactive self-starter with a can-do attitude — essential for thriving in a small team environment where initiative and independent working are key.Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable.3 to 8 years of experience within personal lines insurance is required

Head of Data - Data Architecture, Data Strategy/Governance, Data Science/Analysis/Engineering; frameworks, data operating model (TOM), compliance, risk, automation; management information (MI) reporting, PowerBI, SQL, ADF, Azure Data Warehousing / Data Lakes. Permanent, London / Hybrid (3/2) £125k - £140k (Negotiable) +Bonus +Benefits Global organisation seeks Head of Data to lead strategy around data architecture, data governance, platform enhancement and MI reporting development across all systems which support business decisions and improve operations. Working in a senior level capacity, initially within an individual contributors role (initially) the Head of Data will undertake a number of strategic and tactical duties including: Developing data initiatives in line with wider business strategyEngage with senior business leaders and technology management to design a Target Data Operating ModelDevelop the firms AI / NLP strategy, roadmap and capability utilising emerging data science approaches where applicableOptimise existing technology to support / develop the ongoing data architecture roadmap in relation to business operationsEnhance the Management Information Reporting Dashboard / DV landscape defining standards and improving output in a variety of products, albeit with a strong focus on PowerBI / Power Automate and the broader Microsoft stackLead governance processes for data access and stewardship (inc regulatory compliance aspects) and build out the function collaborating with IT security teams / CISO where appropriateBuild out and lead a multi-disciplinary team of data focussed personnel We seek a senior level Data Manager with significant experience engaging with C-Level execs who possess a range of hands-on, tactical and strategic skills and experience including: Extensive experience in developing data strategy, governance, architecture and data integrationEnhancement of data orchestration across all relevant systems (Sharepoint/MSFT Stack, CRM, Finance, HRIS, various industry specific Commercial/Business Systems - relevant to your background) in order to meet the needs of the strategic data roadmapExperience of identifying and selecting appropriate reporting platforms and tools and background in hands-on development of platforms/dashboards inc SQL, ADF, PowerBI etcManagement and leadership of multi-disciplinary teams within data - Data Science, Data Analysis, Engineering/ETL, Data VisualisationExperience of developing and, critically, delivering AI / NLP / ML and predictive analytics capability within commercial environments.Experience of ensuring that all data-related activities comply with regulatory industry standardsAn ability to influence across all departments at the most senior level of a global organisation We are open to receiving applications from across a broad range of industries including Professional Services, Legal Services, Financial Services or Consultancy inc Deloitte, PwC, KMPG, Accenture, EY, McKinsey & Company etc. You may have been working as a Head of Data, Lead Data Scientist, Chief Data Officer, Data Engineering Manager or Lead (Senior) Data Analyst but we are open to discussion based on experience. You will possess exceptional communication skills and have the commercial acumen to be able to influence at the most senior level of this global organisation. Excellent opportunity to develop data strategy combining advanced analytics with business intelligence, and lead the enhancement of enterprise-wide data solutions across a global organisation.