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senior data engineer

senior data scientist ii

RELX Group

<div>Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance?
Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making?
<h3 class="jobSectionHeader">About the Business
</h3>LexisNexis&reg; Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.
We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
About Our Team
The MarTech &ndash; Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.
About the Role
This role focuses on building and optimising data infrastructure that enables advanced marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices that support analytics, segmentation, and real-time engagement. Working closely with cross-functional teams, you will help deliver reliable, high-quality data solutions that drive business outcomes.
Responsibilities
<ul><li>Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer
</li><li>Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement
</li><li>Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases
</li><li>Enable CDP functionality including identity resolution, consent management, and audience readiness
</li><li>Develop event streams and triggers to support customer journey orchestration and real-time decisioning
</li><li>Provide structured datasets and semantic layers for dashboards and advanced analytics
</li><li>Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
</li><li>Partner with analytics, MarTech, and marketing teams to align data solutions with business needs
</li></ul>Requirements
<ul><li>Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
</li><li>Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
</li><li>Proficiency in data modelling (dimensional, entity-relationship, event-driven)
</li><li>Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
</li><li>Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
</li><li>Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
</li><li>Ability to translate business requirements into scalable technical solutions
</li><li>Strong collaboration and communication skills with technical and non-technical stakeholders
</li></ul>You can learn more about LexisNexis Risk Solutions here:
 
LexisNexis Risk Solutions 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Scientist II

LexisNexis Risk Solutions

Nicholson Glover

<div>
 
 
 Data Scientist or Senior Data Scientist (Gen AI) | AI Tech Start-Up | &pound;60k-&pound;100k DOE + Sizeable Shares | London/Hybrid (1 day a week in office)
 
 
 
 
 
 
 We are excited to be working with a rapidly growing AI tech scale-up that&rsquo;s expanding its team with a talented Data Scientist or Senior Data Scientist
 
 
 
 
 
 
 The Company
 
 
 
 
 
 
 This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 You&rsquo;ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.
 
 
 
 
 
 This isn&rsquo;t your typical Data Science position &ndash; it&rsquo;s deeply technical, highly collaborative, and focused on delivering real-world impact. You&rsquo;ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.
 
 
 
 
 
 
 The Candidate
 
 
 
 
 
 
 Key attributes of a suitable Data Scientist or Senior Data Scientist include:
 
 
 
 
 <ul>
 <li>
 
 Strong Data Science Foundations
 
 &ndash; bring solid grounding in statistics and machine learning, along with strong programming skills &ndash; Python preferred.
 </li>
 <li>
 
 Passion for Cutting-Edge AI
 
 &ndash; You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
 </li>
 <li>
 
 Client-Centric Problem Solver
 
 &ndash; You&rsquo;re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You&rsquo;ve played a hands-on role in architecting and delivering real-world deployments.
 </li>
 </ul>
 
 
</div>

Data Scientist (Gen AI)

Digital Waffle

<div>
 
 
 Senior Data Scientist | Data, Python, Science
 
 
 
 
 
 
 Senior Data Scientist with previous experience using Python is sought after by one of the UK&rsquo;s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
 
 
 
 
 
 For this position, they are looking for applicants with the following skillset:
 
 <ul>
 <li>
 A passion for clean data/statistics
 </li>
 <li>
 At least 3 years&rsquo; previous experience as a data scientist
 </li>
 <li>
 Python skills/experience
 </li>
 <li>
 Comfortable in an Agile environment
 </li>
 <li>
 Knowledge of GitHub
 </li>
 <li>
 Interest in gaming/esports
 </li>
 <li>
 Previous experience with machine learning models and established statistics
 </li>
 </ul>
 
 
 
 
 In return, they can offer:
 
 <ul>
 <li>
 A salary of up to &pound;85k (depending on experience)
 </li>
 <li>
 A generous training/personal development budget
 </li>
 <li>
 Transport contributions
 </li>
 <li>
 Flexible working hours
 </li>
 <li>
 A great list of perks in a brand-new office (when you are in the office)
 </li>
 </ul>
 
 
 
 
 If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
 
 
 
</div>

Data Scientist

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.
<h3 class="jobSectionHeader">
Skills &amp; Experience</h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Senior Data Scientist

LAW CHOICE RECRUITMENT

<div>
 
 
 Data Scientist &ndash; Leading Law Firm
 
 
 
 A leading law firm is seeking a talented Data Scientist to join its growing data and analytics capability. This is a unique opportunity to work at the intersection of law, data and technology&mdash;helping drive smarter decision-making, improve client outcomes, and unlock the value of data across the business.
 
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Develop and deploy data-driven solutions to support legal and business teams
 </li>
 <li>
 Analyse complex datasets to identify trends, risks and opportunities
 </li>
 <li>
 Build predictive models and machine learning solutions to enhance decision-making
 </li>
 <li>
 Collaborate with stakeholders across the firm to translate business challenges into data solutions
 </li>
 <li>
 Contribute to the firm&rsquo;s data strategy, innovation initiatives and digital transformation
 </li>
 <li>
 Support the development of dashboards and visualisations to communicate insights clearly
 </li>
 <li>
 Ensure data quality, governance and best practices are upheld
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Partner with legal, finance and business services teams to deliver actionable insights
 </li>
 <li>
 Design and implement statistical and machine learning models
 </li>
 <li>
 Work with structured and unstructured data from multiple internal and external sources
 </li>
 <li>
 Optimise data pipelines and workflows for efficiency and scalability
 </li>
 <li>
 Present findings to senior stakeholders in a clear and compelling way
 </li>
 <li>
 Stay up to date with emerging data science tools, techniques and technologies
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 Proven experience as a Data Scientist or in an advanced analytics role
 </li>
 <li>
 Strong programming skills (e.g. Python, R, SQL)
 </li>
 <li>
 Experience with machine learning, statistical modelling and data visualisation tools
 </li>
 <li>
 Ability to translate complex data into meaningful business insights
 </li>
 <li>
 Strong communication and stakeholder engagement skills
 </li>
 <li>
 Experience within professional services or a regulated environment is advantageous
 </li>
 </ul>
 
 
 
 
 
 Why Apply?
 
 
 <ul>
 <li>
 Opportunity to shape data-driven decision-making within a leading law firm
 </li>
 <li>
 Work on high-impact, real-world projects with senior stakeholders
 </li>
 <li>
 Collaborative and forward-thinking environment
 </li>
 <li>
 Exposure to cutting-edge tools, innovation and digital transformation initiatives
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to be part of a team transforming how data drives performance in the legal sector.
 
</div>

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Position: Senior Data Scientist
 
 
 
 
 Reporting to:
 
 Lead Data Scientist
 
 
 
 Location:
 
 London
 
 
 
 Type:
 
 Permanent
 
 
 As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You&rsquo;ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
 
 
 You&rsquo;ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox&rsquo;s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
 
 
 You&rsquo;ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market&rsquo;s first AI-enhanced lead underwriting solution. This achievement reflects the team&rsquo;s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
 
 
 As a Data Scientist, you&rsquo;ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
 
 
 This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You&rsquo;ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
 </li>
 <li>
 Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights
 </li>
 <li>
 Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation.
 </li>
 <li>
 Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques.
 
 
 
 </li>
 </ul>
 
 Person Specification
 
 
 
 <ul>
 <li>
 Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
 </li>
 <li>
 Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
 </li>
 <li>
 Experience of data science in finance or insurance is an advantage but not required.
 </li>
 <li>
 Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
 </li>
 <li>
 Familiarity with version control, agile working and other IT delivery tools is required
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience.
 </li>
 <li>
 Experience with analytical tools / programming languages and databases (for example: Python, R, SQL).
 </li>
 <li>
 Experience with large language models and prompting, GCP experience is a plus.
 </li>
 <li>
 Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
 </li>
 <li>
 A particular interest in natural language processing or machine vision.
 </li>
 <li>
 A strong grasp of foundational statistics is essential.
 </li>
 <li>
 Experience working both in small teams and independently on analytics projects.
 </li>
 <li>
 Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders.
 </li>
 <li>
 Willingness to learn best practice in software development.
 </li>
 <li>
 Knowledge of insurance is an advantage but not essential.
 
 
 
 </li>
 </ul>
 
 Apply now for further information
 
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

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1006 senior data scientist ii jobs In London

Senior Data Scientist II

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