data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

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.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
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

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. 
 
This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences. 
 
Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems. 
 
Key job responsibilities 
Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems. 
 
A day in the life 
Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations. 
 
About the team 
The Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the AfS AI, from making it agentic, enabling customers to set price alerts or empower AfS to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree or above in Math, Statistics, Computer Science, or related science field</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance</li><li>Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2</li><li>Experience working on multi-team, cross-disciplinary projects</li></ul> 
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Scientist II, Alexa for Shopping Science UK, Alexa for Shopping Science UK

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

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>

Goldman Sachs

<div>
 
 Job Description
 
 
 
 Are you a visionary Data Scientist or Machine Learning Scientist passionate about leveraging cutting-edge AI to transform financial markets? Do you thrive on building end-to-end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands-on experience, and a desire to make a significant impact in a dynamic, fast-paced environment, we want to hear from you.
 
 
 
 OUR IMPACT
 
 
 
 The Global Markets Division
 
 
 As a Data Scientist/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights
 
 .
 
 Leveraging cutting-edge techniques, you will develop sophisticated analytical tools that will, at scale, connect clients to the signals, tools and expertise to better analyze their portfolios and manage risk. Your expertise will drive data-driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets.
 
 
 Marquee
 
 
 Marquee is Goldman Sachs' premier digital platform for Global Banking &amp; Markets, serving our Institutional Clients (Hedge Funds, Asset Managers, Insurers) and Corporate Clients with the latest insights and analytics from the division. A recognized market leader, Marquee has garnered 5 awards over the past 3 years for its innovative solutions.
 
 
 The Marquee Sales Strats Team
 
 
 The Marquee Sales Strats team is a hub for advanced data science and machine learning, focusing on developing and deploying predictive AI, recommendation systems, and sophisticated analytical models. We leverage extensive datasets, including those structured in graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee&rsquo;s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting-edge technology, and advanced data science/machine learning, including specialists in graph theory and knowledge representation.
 
 
 
 How You Will Fulfill Your Potential
 
 
 
 At Goldman Sachs, our Engineers and Scientists don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas and technology. Combine advanced engineering and deep market knowledge to solve the most pressing problems for our clients. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.
 
 
 As a Marquee Sales Data Scientist/Machine Learning Scientist, you will be instrumental in designing, developing, and deploying advanced machine learning models, including predictive AI and recommendation systems, to deliver unparalleled analytics and insights for the Goldman Sachs Franchise
 
 .
 
 Your work will directly enhance the client experience and drive strategic decision-making
 
 .
 
 You will collaborate closely with Traders, Salespeople, and Strats across all asset classes, leveraging your expertise to build robust data pipelines, engineer impactful features, and train sophisticated models. Your contributions will be critical in developing personalized recommendation engines and predictive analytics that drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit-learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies.
 
 
 
 Responsibilities
 
 
 
 
 RESPONSIBILITIES AND QUALIFICATIONS:
 
 
 
 <ul>
 <li>
 Design, build, and maintain robust data pipelines for feature engineering and model training, ensuring data quality, scalability, and explainability.
 </li>
 <li>
 Develop, train, and deploy state-of-the-art machine learning models, with a strong focus on recommendation systems and signal generation, to address complex problems in financial markets.
 </li>
 <li>
 Utilize and contribute to the development of graph databases and knowledge graphs to enrich data context, uncover hidden relationships, and make predictions.
 </li>
 <li>
 Conduct rigorous model evaluation, A/B testing, and monitoring to ensure optimal performance, reliability, and business impact of deployed models.
 </li>
 <li>
 Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems.
 </li>
 <li>
 Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply new techniques.
 </li>
 <li>
 Contribute to the team's overall technical growth and best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field.
 </li>
 <li>
 2+ years of proven expertise and hands-on experience in the full lifecycle of data science and machine learning projects, from data ingestion and feature engineering to model deployment and monitoring in a production environment.
 </li>
 <li>
 Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment.
 </li>
 <li>
 Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment.
 </li>
 <li>
 Strong understanding of statistical modeling, experimental design, and causal inference.
 </li>
 <li>
 Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.
 </li>
 <li>
 Self-starter with a creative, hands-on approach to problem-solving and a passion for designing and implementing programmatic solutions to client needs.
 </li>
 <li>
 Able to thrive in a global, fast-paced, and collaborative team environment.
 
 
 </li>
 </ul>
 
 About Goldman Sachs
 
 
 
 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
 
 
 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
 
 
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 
 
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 
 
 Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
</div>

Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate

LABOUR PARTY

<div></div><div><div><div><div><div><h2 class="jobSectionHeader">Job description</h2><div>
Role: Data Scientist
Salary: &pound;54,673.46 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of &pound;1,195.
Current employees in banding 36 will maintain their existing salary.
Location: Head Office - London
Duration: Permanent 
The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour&rsquo;s political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects. 
The successful candidate will have: 
<ul><li>
Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience</li><li>
Strong understanding of polling methodology and how to use to polling to answer political questions.</li><li>
Experience of conducting analysis and reporting on political data and polling and producing outputs like reports, visualisations and dashboards for stakeholders.</li><li>
Ability to understand how data on voters, campaigns and elections can be used to drive strategic decision making</li></ul> 
The Labour Party&rsquo;s standard working arrangement is that all employees based in headquarters in London/Newcastle attend their contracted office four days per week, Monday to Thursday. Home working is only authorised on Fridays. 
The deadline for applications is 12 July 2026. 
The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.</div></div></div></div></div></div>

Explore 832+ Data scientist ii in London this July. Find roles across top companies and apply now to boost your career.

832 data scientist ii jobs In London

Senior Data Scientist II

Data Scientist II, Alexa for Shopping Science UK, Alexa for Shopping Science UK

Data Scientist

Senior Data Scientist

Senior Data Scientist

Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate

Data Scientist