Job Description

About Loop Horizon

Loop Horizon is a boutique consultancy, providing expert advice and services to world leading brands to assist their transition to a data-driven marketing future.

With specialists in Digital, Data & Analytics, MarTech and Marketing, we are predominantly ex-client side. Having delivered data-driven marketing before enables our clients to deliver more, faster and avoid missteps. [NE1] [EJ2]

Our success is built through enduring relationships with our clients by focussing on outcome-based deliverables. We focus on enabling clients with data and technology capability and supporting their internal teams through strategy, planning, delivery and adopting news ways of working.

Our continued growth and client demand for experienced support means we are hiring an experienced Data Scientist to join the team.

Job Overview

:

We are seeking an experienced Data Scientist to join our growing team at Loop Horizon.

As a Data Scientist, you will collaborate closely with clients to understand their business challenges, develop and implement data-driven solutions, and deliver actionable insights that drive business value. [EJ3] There is also the opportunity to support our clients with artificial intelligence adoption, helping them transform their operations through innovative technologies.

Responsibilities

:

Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient solutions

Development and delivery of production ready ML models

Provide insights and data products to support client decision-making

Visualise and communicate findings and recommendations to non-technical stakeholders in an easy-to-understand manner.

Be the AI champion within Loop, helping the whole team embed AI for our clients where it can add most add value

Skills and Qualifications:

Extensive experience in delivering Data Science projects to improve marketing/sales performance and customer experience. For example, marketing attribution modelling and next best action. [EJ4]

Expert in machine learning techniques (e.g., clustering, classification, regression)

Ability to write production standard code in Python/SQL with a strong grasp of coding principles

Strong familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift)

Ideally familiar with digital behavioural data e.g. GA4

Ability to articulate technical findings in business terms and demonstrate value to stakeholders.

Experience with data visualisation tools such as Tableau, Power BI, or similar.

Comfortable using Git for versioning and collaboration

Our Commitment to You:

Competitive salary

25 days holiday, plus an additional 3 days leave between Christmas and New Year

Pension scheme and life assurance

Private Healthcare for you (and your spouse/children at extra cost)

Flexible benefits scheme including electric car leasing scheme, cycle to work, gym discounts, discounted vouchers

Shares in company after one years' service

Hybrid working - we believe in a balance between spending time face-to-face with colleagues and our clients, as well as enabling working from home

Excellent opportunities to grow and develop

Vibrant, friendly, dynamic team with calendar of regular social activities and team events

*Please note we are unable to provide sponsorship and only eligible candidates with the relevant right to work documents will be considered

[NE1]Might need to rephrase this one.

[EJ2]Have done

[EJ3]Can we somehow get "drive AI adoption" in there too?

[EJ4]Should we give a bit more flavour of the types of models they would be expected work with e.g. attribution, churn, propensity, next best action, behavioural/affinity and the types of use e.g marketing, sales, customer experience / engagement, personalisation

Job Types: Full-time, Permanent

Pay: 55,000.00-65,000.00 per year

Benefits:

Company pension Cycle to work scheme Flexitime On-site parking Private medical insurance Work from home
Work Location: Hybrid remote in Richmond TW9 3GA