Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Hult International Business School
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Description

Job Title: Data Scientist


Location: London (hybrid, office 4/5 days)


Reports To: Hristo Gopin


Hiring Manager(s): Hristo Gopin


The Opportunity: As a Data Scientist, you will be working in our global data team which is part of the central marketing function at Hult International Business School. The team leads data and BI at Hult, handling CRM data ingestion, advanced analytics, modeling, and managing data warehouse and visualization platforms. You will have the chance to work in a leading team within a fun and engaging environment. As a member of the global data team, you will work with various key stakeholders ranging from digital, technology, central marketing, enrolment and finance teams to external providers and suppliers.


Responsibilities

  • Develop, deploy, and continuously improve predictive models (e.g., LTV, lead propensity) that drive measurable uplift in marketing ROI and enrolment efficiency.
  • Build and iterate lead audiences / fit scores; productionise features and outputs; implement drift monitoring and retraining triggers. Ensure scores are used in routing, campaigns, and advisor workflows.
  • Partner with Marketing & Enrolment to test and measure impact (holdouts/A-B tests, CPA/payback, win-rate uplift).
  • Create analytics-ready marts in dbt/Snowflake with clear SLAs, tests, and documentation; ensure data quality on CRM and media sources.
  • Support the development of data visualization tools (Tableau) for LTV by segment/market, pipeline health, and channel ROI.
  • Develop and maintain various data models (source including Salesforce, Marketing Cloud, Google Analytics, Facebook).
  • Close the loop via reverse-ETL/Salesforce so scores are used in routing, campaigns, and advisor workflows.
  • Create analytics ready data models on dbt and Snowflake following best practice.
  • Perform daily tasks to seek ways to find efficient ways to increase and improve our CRM dataset to maximize the value of our customer information.
  • Promote data informed decision making across the organization.

Qualifications

  • Bachelor degree in business or quantitative related field
  • Strong data & analytics background and at least 3+ years of experience
  • Strong understanding of SQL/Python and cloud platforms (AWS S3, Snowflake, dbt)
  • Experience in data science and LTV modeling
  • Experience using Tableau (preferably) or other data visualization software is a strong plus
  • Familiarity with CRM data and ideally Salesforce, Data Cloud
  • Excellent communication skills and ability to liaise with stakeholders from a technical and non-technical background
  • Ability to find a story in a data set and provide a coherent narrative about a key data insight
  • Ability to think creatively and insightfully about business problems
  • Proactive work ethic; can establish priorities and schedules to meet department goals

Position start date: ASAP


Please note that you must have the right to work in UK to be considered for this position.


Equal Opportunities

Hult is dedicated to actively creating a diverse and inclusive environment and is proud to be an equal opportunity employer. If you require any accommodation to assist you in the interview process, please submit this with your inquiry.


Hult offers competitive salaries and benefits in a global, empathetic, and highly multicultural working environment.


About us: Hult is a new kind of non-profit business school that constantly innovates to meet the needs of students, employers, and society in a world that is changing faster than ever before. More than a business school, Hult is a dynamic and multicultural community that educates, inspires, and connects some of the most forward-thinking business talent from around the world.


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.