Data Scientist - Data & Insights

AKA UK
Greater London, UK
13 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Asana Information Engineering Data Visualization Python (Programming Language) Machine Learning Open Source Technology Azure Machine Learning Tableau (Software) Snowflake

Job description

  • Develop, evaluate and apply models to anticipate demand, campaign performance and ROI across entertainment and cultural products
  • Design and evaluate data matching and identity resolution logic (deterministic and probabilistic) for linking customer and audience records across disparate data sources, working closely with Data Engineering to translate this into production pipelines
  • Apply statistical linkage and matching techniques (e.g. fuzzy matching, probabilistic record linkage, blocking strategies) to support the development of AKA’s composable CDP
  • Conduct economic and commercial analysis to support pricing, distribution, audience targeting, and investment decisions and build wider media strategies
  • Build and assess Econometric Models to drive client strategy
  • Translate complex model results into actionable strategies for both internal and client-facing outputs
  • Stay abreast of current entertainment market dynamics, economic modelling approaches, and forecasting tools
  • Contribute to the creation of client reports, pitch decks and internal innovation initiatives

Requirements

  • Advanced degree (Master’s or PhD preferred) in Data Science, Mathematics, Economics or related analytical disciplines
  • 3+ years of experience in forecasting or building/leveraging robust modelling capabilities
  • Experience with statistical or probabilistic matching/record linkage techniques (e.g. fuzzy matching, deterministic and probabilistic identity resolution), or a strong theoretical grounding in the underlying methods
  • Proficiency in modelling and/or machine learning tools and techniques within Python
  • Excellent quantitative, problem-solving, and critical thinking skills

Good to have

  • Prior use of Snowflake
  • Experience in Media Mix Modelling, ideally using Open Source tools such as Robyn or Meridian
  • Data Visualisation experience within Tableau or Similar
  • Experience using or building Machine Learning Models or AI solutions
  • Experience working in or with entertainment/media companies
  • Proficiency in using project management tools such as Asana
  • Comfortable communicating technical concepts to non-technical stakeholders and supporting analysts
  • A keen interest in entertainment, culture, and understanding audience behaviour

Benefits & conditions

  • 25 days holiday + Bank Holidays
  • Hybrid Working
  • ‘Telus Health’ EAP scheme for you and your family. Giving you access to free independent advice on Life, Health, Family, Money and Work matters
  • Gym discounts
  • Holiday Buy Back
  • Friends & Family Theatre Ticket
  • New Business Incentives
  • Recruitment Incentives
  • Pension Scheme
  • Interest Free Travel Loan
  • Ride to Work Scheme
  • Death in Service
  • Flexible/Hybrid Working
  • Critical Illness
  • Enhanced Paternity/Maternity Leave

J-18808-Ljbffr

About the company

An exciting opportunity to join the UK’s leading entertainment marketing and advertising agency.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all