Data Scientist - Data & Insights

AKA Group Limited; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid Working

Gym discounts

Pension Scheme

Death in Service

Flexible/Hybrid Working

Job summary

AKA Group Limited is seeking a Data Scientist to join the Business Intelligence Team with a focus on forecasting and modelling. You will help anticipate market trends, evaluate campaign performance, and inform commercial strategy in the entertainment space.

The role involves developing production-ready models, data matching for a composable CDP, and translating results into client-ready insights alongside cross-functional teams.

Qualifications

• Advanced degree in Data Science, Mathematics, Economics or related analytical disciplines.
• 3+ years of forecasting or modelling experience.
• Experience with statistical/probabilistic matching techniques or strong theoretical grounding.
• Proficiency in modelling and/or machine learning tools and techniques within Python.
• Excellent quantitative, problem-solving, and critical thinking skills.

Responsibilities

• 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 for linking customer and audience records across data sources.
• Apply statistical linkage and matching techniques to support the development of AKA's composable CDP.
• Conduct economic and commercial analysis to support pricing, distribution, audience targeting, and investment decisions.
• Build and assess Econometric Models to drive client strategy.
• Translate complex model results into actionable strategies for internal and client-facing outputs.
• Stay abreast of entertainment market dynamics, modelling approaches, and forecasting tools.
• Contribute to client reports, pitch decks and internal innovation initiatives.

Skills

Forecasting

Quantitative analysis

Problem solving

Critical thinking

Education

Master’s or PhD in Data Science/Math/Economics

Tools

Python

Snowflake

Tableau

Robyn

Meridian

Asana

Job description

Salary dependent on experience

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

You will be working with working with top-tier studios, streaming platforms, and content creators to connect stories with audiences in emotionally resonant and culturally relevant ways. We harness data, creativity, and behavioural insights to shape the future of entertainment.

Position Objectives

We are seeking a Data Scientist to join our Business Intelligence Team, with a specialised focus on forecasting & modelling. This role is critical in helping us anticipate market trends, evaluate campaign and content performance and inform commercial strategy. You’ll play a vital role in bridging data-driven insight with robust models to support business growth, client success, and strategic innovation.

Key Responsibilities

• 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

Essential 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

Other Duties as Assigned

AKA is a fluid and rapidly changing organisation. This position profile reflects the general nature and level of work assigned to the role. It does not restrict management's right to reassign duties or responsibilities at any time based on business needs if the work is similar, related, or a logical assignment

Benefits

• 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