Back to jobs
proSapient
proSapient

Senior Data Scientist

United Kingdom Remote OK 5-10 yrs exp Information Services 546 employees
Applied Data ScienceMachine LearningPythonSQLStatistics

Requirements

Requires at least five years of applied data science or machine learning experience with production impact, along with strong Python, SQL, statistics, evaluation design, and uncertainty quantification skills. Candidates should have hands-on entity resolution or deduplication experience and familiarity with knowledge graphs, taxonomies, embeddings, modern NLP, and LLM evaluation.

Job Description

Every day, somewhere in the world, important decisions are made. Whether it is a private equity company deciding to invest millions into a business or a large corporation implementing a new strategic direction, these decisions impact employees, customers and other stakeholders.

Consulting and private equity firms come to proSapient when they need to discover knowledge to help them make great decisions and succeed in their goals. It is our mission to support them in their discovery of knowledge.

We help our clients find industry experts who can provide their knowledge via interview or survey; we curate this knowledge in a market-leading software platform; and we help clients surface knowledge they already have through expansive knowledge management.

We are looking for a Senior Data Scientist to own entity resolution and taxonomy quality inside the graph, and to own the evaluation that tells us whether an agent is ready to move along our human-AI spectrum: from human-led with AI assistance, to agent-does-the-work-human-approves, to running autonomously within guardrails.

About The Role

proSapient is building an AI-native intelligence platform for private markets. We're looking for a Senior Data Scientist to improve the expert knowledge graph, matching system and evaluation of agentic AI workflows.

The key duties of this role will include:

  • Owning entity resolution, classification and taxonomy quality across the expert knowledge graph
  • Measuring graph coverage, freshness and accuracy, and prioritising improvements
  • Evaluating matching, retrieval, extraction and agent reliability with robust metrics
  • Defining guardrails, drift detection and autonomy thresholds for agentic AI workflows
  • Supporting product decisions through analysis, forecasting and clear engineering hand-offs

Requirements

What we're looking for:

  • 5+ years in applied data science or ML with production impact
  • Strong Python, SQL, statistics, evaluation design and uncertainty quantification
  • Hands-on entity resolution, record linkage or large-scale deduplication experience
  • Experience with knowledge graphs, taxonomies, embeddings, modern NLP and LLM evaluation
  • Ability to judge when rules, classifiers or lookups outperform LLMs

Nice to have:

  • Graph database experience, e.g. Neo4j, TigerGraph or Amazon Neptune
  • Experience with agent guardrails, human-in-the-loop thresholds, annotation programmes, ranking evaluation or B2B data contexts

Benefits

What we can offer you:

  • Tenure gifts, including vouchers, extra holiday and sabbaticals for each year of employment
  • Health insurance through Vitality
  • Remote working for up to 20 days each year, giving you flexibility and a change of scenery
  • Employee Assistance Programme with personalised health and wellbeing advice from specialist teams
  • Enhanced maternity and paternity pay
  • 25 days' annual leave plus bank holidays, including a week's closure over Christmas
  • MyMindPal app for online mental fitness support
  • Corporate events, from quarterly gatherings to annual winter and summer parties

We are committed to building an inclusive workplace. Marginalised groups are often less likely to apply unless they meet every requirement listed, so if you are interested in this role but do not tick every box, we encourage you to apply anyway — it could still be a great match.

Skills

Applied Data ScienceMachine LearningPythonSQLStatisticsEvaluation DesignUncertainty QuantificationEntity ResolutionRecord LinkageDeduplicationKnowledge GraphsTaxonomiesEmbeddingsNatural Language ProcessingLarge Language Model EvaluationAgent Guardrails

About proSapient

proSapient is a cutting-edge expert network and primary research platform that enables professionals to share insights with clients through short calls, online surveys and long-term engagements. Our clients include many of the world’s largest and most respected consultancy and private equity firms, and we have been featured in the Financial Times and in Sifted as one of the 100 fastest-growing businesses in Europe and the UK. Since our launch in 2017, we have revolutionized expert networking by offering new capabilities including the industry’s first AI-powered platform, enabling smarter, faster decision-making. Headquartered in the UK, proSapient is ISO 27001 accredited and employs over 300 people across four global locations: London, Lisbon, Raleigh, and Toronto. Should an opportunity arise where we think your experience could be relevant for an expert call, one of our Client Services Associates will contact you and help to determine whether there is a suitable fit, agree a rate to compensate you for your time and then submit your profile to our client. Our client then decides whether to work with a given expert and should they wish to move forward, our Associate will assist in scheduling a call at a suitable time. We are continuously reimagining the expert networking landscape and remain at the forefront of technological innovation, committed to building the future of knowledge discovery. In recognition of our technological leadership, we've been recognized as a Future Fifty company by Tech Nation.

View company profile →