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

Apply Now

Sponsorship Sales Manager

Putney
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Graduate Data Scientist

Data Scientist

Data Scientist

Data Scientist - Customer Data

Data Scientist

Sponsorship Sales Manager - Events

£45,000 - £60,000 + Uncapped Commission + Excellent Benefits

Hybrid

SW London

Global, award winning events business seeks a talented Sponsorship Sales Manager to join their fast growing events team selling bespoke sponsorship and exhibition packages to global clients.

The Senior Business Development Manager role focuses on selling sponsorship and exhibition packages across our client's range of industry leading global b2b conferences which sit within a highly lucrative market.

The position will also involve lots of international travel to global events and client meetings, mainly to the US.

Candidate Profile:

  • Minimum of 2 years experience in b2b conference sponsorship and/or ideally exhibition sales.

  • Demonstrated success in achieving excellent revenue results.

  • Ideally degree educated

  • Highly organised, with the ability to effectively prioritise and manage time to maximize productivity and achieve goals.

  • High emotional intelligence, skilled in building and sustaining strong relationships with both internal and external stakeholders.

  • Highly consultative sales approach

  • Personable and enthusiastic, with a proactive, solutions-oriented approach—a true team player committed to collective success.

    Lipton Media is a specialist media recruitment agency based in London. We specialise in all forms of b2b media sales including conferences, exhibitions, awards, summits, publishing, digital, outdoor, TV, radio and business intelligence.

    Our clients range from small start-up companies to FTSE 100 and 250 businesses.

    We work with people at every stage of their career from undergraduates looking for their first entry point into sales to senior managers and directors looking for their next challenge

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.