Senior Data Scientist II

Reed Elsevier Shared Services (Philippines) Inc Company

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Farringdon Until 9/8/2026 First posted April 22, 2026 Last posted July 10, 2026
Job description

Are you ready to take your data science expertise to the next level and lead impactful projects? 

Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? 

 

About our team: 

We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate. 

 

We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference. 

If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. 

 

About the role:  

We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. 

 

In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication. 

 

This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact.   

 

 

Responsibilities: 

  • Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). 

  • Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. 

  • Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). 

  • Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. 

  • Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. 

  • Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. 

  • Ensure data quality, observability, lineage, and documentation across data and ML pipelines. 

  • Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. 

  • Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. 

  • Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. 

 

 

Requirements: 

  • Strong Python programming skills. 

  • Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. 

  • Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. 

  • Experience with Databricks, Spark, and Delta Lake. 

  • Strong SQL skills with experience working on large datasets. 

  • Experience with AWS, including S3 and Lambda. 

  • Familiarity with Redshift, Snowflake, or other cloud data warehouses. 

  • Experience with behavioral datasets. 

  • Ability to work across machine learning, data engineering, analytics, and integrations. 

  • Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. 

 









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About this role

Summary

Design, build, and deploy ML and GenAI solutions across business units.

Job title

Senior Data Scientist II

Experience level

senior level

Industry

software

Location requirements

Farringdon; remote work not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

pythonopenai APIsml fundamentalssqlaws

Preferred skills

databrickssparkdelta lakeredshiftsnowflake

Specializations

machine learningnatural language processingprompt engineeringdata engineeringgenai
Locations

Structured locations inferred from the posting.

Farringdon, Exeter EX5 2HY, UK

Work arrangement unknown City
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