National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Bilingual junior investigator: big data

HAYS
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Biostatistician - AI Trainer

Superb opportunity for a bilingual junior investigator who enjoys working with big data. 2nd career move?

Your new company 
Our client is a highly-esteemed international consultancy, whose clients include law firms, international institutions, family offices, Governments/NGOs, FTSE 100/ Fortune 500 and more. Multidisciplinary across investigations and intelligence, digital and cyber, they build the team and solution around the issue rather than think in silos or service-lines. With equal renown across APAC, EMEA and the US, the UK has seen a recent expansion in their global financial investigations presence and it is that which has produced the opening for this new role.
Your new role 
Projects will be varied in nature and often are multi-jurisdictional. 
You could be working with (inter alia):
- International financial institutions
- International development agencies
- Global corporations

And work can include:


  • Developing/implementing pragmatic remediation strategies to address fraud and corruption risks. 
  • Regulatory investigations & enforcement
  • Multi-jurisdiction fraud investigations and anti-corruption reviews
  • AML controls
  • Using and applying OSINT & HUMINT
  • Litigation
  • Preparing evidence for Court
  • Forensic audits
  • Asset tracing
  • Due Diligence


What you'll need to succeed 

  • You'll be a junior investigator from a financial investigations or related background, for example data analytics. 
  • A real love of managing "big data" 
  • Bilingual fluency in English and one other major language. These could include:

>German
>Spanish
>Portuguese
>Arabic
>Russian

(Please note at this stage the client cannot sponsor or transfer sponsorship.)

What you'll get in return 

  • A door-opening brand on your CV
  • Working with peers from diverse and high-calibre backgrounds: prosecutors, international lawyers, law enforcement, intelligence operatives and digital investigators
  • Line managers who get work-life balance and will take a mature approach to offsetting those times where you need to put in extra hours
  • The chance to be a meaningful part of genuinely globally impactful cases
  • A clear career path ahead 


What you need to do now 


If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
# 4675440

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.