ENI – Elizabeth Norman International

About the Company

ENI are experts in recruiting permanent, contract & temporary talent across Data, Analytics and Market Research for the insights industry. With 35 years of recruitment experience and industry expertise, we understand a complex market, and partner with industry bodies such as MRS, ESOMAR and AQR.

With our clients, we look to provide as much information on the market as possible. We understand the motivations and try to extract the information that makes your business and the role unique. We match your needs to the best talent, utilising a combined network of over 80,000 candidates and access to several talent tools.

We work with candidates to understand exactly what you're looking for, making sure you're 100% on any role we're submitting you to.

- Our Mission:
"A diverse profession needs diverse talent. The world of insight is wide and varied, so are the people needed to power it. That's why ENI looks beyond the obvious to recruit the talent you need."

We're dedicated to working with clients to build long-term partnerships and connect you with exceptional talent that drives your business forward.

If you are looking for opportunities in insight, or are a business looking to improve your recruitment strategy and the way you hire, particularly when expanding, restructuring or going through major business change, please get in touch:

: hello@Elizabethnorman.com
: +44 (0)20 7836 3311

https://www.elizabethnorman.com

We are committed to ED&I, both as an employer and as leaders in improving representation within insights and removing barriers so the strongest candidates are selected regardless of background.

ENI welcome applications from all sections of society. Additionally, to ensure people with a disability, impairment, mental or physical health conditions can access and progress in employment. Please let us know if there are any adjustments needed in order to make the process as seamless and comfortable as possible.

Listed Jobs

Company Name

ENI – Elizabeth Norman International

Job Title

Head of Research

Job Description

**Job Title:** Head of Research **Role Summary:** Lead data-driven research in Banking & Payments, focusing on AI maturity benchmarking in financial services. **Expectations:** Own end-to-end research lifecycle, including idea generation, hypothesis testing, data analysis, and insight delivery. Translate complex data into actionable insights for senior stakeholders. **Key Responsibilities:** - Author thought leadership articles and mid-year industry research reports - Analyze AI adoption trends using quantitative and qualitative methodologies - Collaborate with client-facing teams to develop industry perspectives - Conduct expert interviews to identify emerging AI and fintech trends - Coordinate cross-functionally with analysts, data scientists, and designers **Required Skills:** - 5+ years in research, market intelligence, and financial services analysis - Expertise in quantitative analysis, data interpretation, and technical writing - Strong communication and storytelling capabilities for technical audiences - Familiarity with AI applications and emerging technologies in finance **Required Education & Certifications:** Not specified in the provided description.

London, United kingdom

Hybrid

02-02-2026

Company Name

ENI – Elizabeth Norman International

Job Title

Graduate Research Executive

Job Description

**Job Title:** Graduate Research Executive **Role Summary:** Entry-level role for recent graduates to develop quantitative research skills and transform data into actionable insights for client projects across diverse sectors. **Expactations:** - Bachelor’s degree in relevant field required - Prior research agency experience preferred - Demonstrated interest in data analysis and consumer behavior - Detail-oriented, analytical, and proactive learning attitude **Key Responsibilities:** - Support full lifecycle of research projects (design, execution, analysis) - Manage survey administration, data analysis, and trend identification - Collaborate with senior researchers on client deliverables - Cross-sector project exposure to diversify expertise - Author clear, impactful research reporting and presentations **Required Skills:** - Quantitative research methodologies - Data interpretation and analytical problem-solving - Strong communication and organizational capabilities - Proficiency in survey tools and data analysis software (specific tools not listed) **Required Education & Certifications:** - Bachelor’s degree in social sciences, psychology, business, or similar discipline - No certifications required; ongoing internal training provided

London, United kingdom

Hybrid

Junior

09-02-2026

Company Name

ENI – Elizabeth Norman International

Job Title

Data Scientist

Job Description

Job Title: Data Scientist Role Summary: Applied AI Analyst responsible for extracting actionable insights from sales and candidate call data using NLP and LLMs, building predictive models of performance and engagement, and creating dashboards and tools that influence behavior. Expactations: 1–3 years of hands‑on data work; strong academic background in maths, statistics, physics, engineering, or related field; comfortable with Python and SQL; quick to learn new techniques; intellectually curious, commercially minded, and passionate about building side projects. Key Responsibilities: - Analyse unstructured sales and candidate call data with NLP and LLMs - Transform messy, unstructured datasets into clean, structured form for analysis - Develop and validate predictive models for performance, engagement, and outcomes - Design and build dashboards and analytical tools that drive decision‑making and behavioral change - Collaborate with product and engineering teams to evaluate build‑vs‑buy options for technology scaling Required Skills: - Python (pandas, scikit‑learn, NLP libraries) - SQL (data extraction, transformation) - NLP and LLM application (e.g., embeddings, prompt engineering) - Predictive modelling (classification, regression, time‑series) - Data wrangling, cleaning, and feature engineering - Dashboard creation (Tableau, Power BI, or equivalent) - Strong communication and storytelling with non‑technical stakeholders - Rapid learning mindset and curiosity for new data science methods - Commercial awareness and ability to link data insights to business outcomes Required Education & Certifications: - Bachelor’s degree in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline ---

London, United kingdom

Hybrid

09-02-2026