Lead Data Scientist – Audience Relationship Management

Lead Data Scientist – Audience Relationship Management page is loaded

Lead Data Scientist – Audience Relationship Management

Apply locations London time type Full time posted on Posted 2 Days Ago job requisition id 0000022007

Job Description

Are you passionate about driving value from data science?

Bring your outstanding technical, collaboration and communication skills to the table and be part of taking our Data Science & AI team to the next level!

Please note there is no relocation assistance is offered for this position.

Data Science at the LEGO Group

The Data Science & AI team is a Center of Excellence for data science, machine learning and artificial intelligence at the LEGO Group. Our objective is to drive value at scale for the organization, by automating or facilitating decisions based on predictive and prescriptive analytics. We are structured in cross-functional product teams, working closely with the rest of Digital Technology at the LEGO Group.

We are part of the Data Office, a hub of data practitioners across the LEGO Group. We promote data literacy, ethics and good governance, and are ambassadors for the responsible use of data to drive growth.

Overview of the role

We’re looking for a Lead Data Scientist to join our Data Science & AI team.

This role is embedded within the Audiences Relationship Management (ARM) product team, which is responsible for driving targeted and personalized marketing activation.

As a Lead Data Scientist, you will be the voice of Data Science, and you will be responsible for designing and leading the implementation of machine learning and AI models within this team. You will also be responsible for contributing to the alignment of the architecture of all data science solutions in the personalization and membership area. This will include also recommendation systems.

Core Responsibilities

As part of this role, you will be responsible for:

1. Model Development: Lead the development of machine learning models to improve shopper interactions on our LEGO digital platforms, drive engagement, and ultimately increase conversion rates. Examples of models that will be developed within the ARM product team include Propensity Models and Next Best Actions models.

2. End-to-End Model Lifecycle Management: Oversee the full lifecycle of each new model developed, from problem definition and data collection to model development, deployment, and performance monitoring. Implement model updates and optimizations based on feedback, data changes, and business needs.

3. Collaboration & Mentoring: Work closely with product, engineering, and business teams to ensure alignment of machine learning models with organizational goals. Lead a cross-functional team in the development of models and into production environments. Mentor and guide other team members in best practices for model development, coding standards, and technology.

4. Leadership: Collaborate with other product teams to drive consistency across different solutions and identify opportunities to drive efficiencies. Be a strong voice for Data Science within Digital Technology at the LEGO Group to ensure technology and product decisions consider Data Science needs. Build a strong relationship with business teams to strengthen the Data Science and AI team, the Data Office and Digital Technology image across the LEGO Group.

5. Data Strategy & Innovation: Drive innovation by exploring new methodologies and technologies to improve modelling accuracy, scalability, and efficiency. Stay updated with the latest trends in machine learning to ensure we remain at the forefront of predictive modelling and AI.

Location for this role is London.

Play your part in our team succeeding

Do you have what it takes?

1. You come with a background in one: data science, statistics, mathematics, economics, or equivalent quantitative subject area.

2. You are familiar and willing to learn and explore a diverse range of technologies:

   1. Programming languages – SQL, R, Python

   2. Data Processing Libraries- Tidyverse, SparkR, PySpark, Pandas, etc

   3. Data Platforms – Databricks, R-Studio

   4. Engineering Tools – Github, AWS, Terraform, DBT

   5. Data Visualisation – Power BI

3. You have a strong experience in supervised and unsupervised learning, classification, regression, and clustering techniques. Ideally you have experience with Customer Analytics, Propensity models, Next Best Action models, Life-time value models and Customer Segmentations.

4. You are familiar working in a product led/agile framework and in a cross-functional, multi-location team. You can clearly communicate with other team members, data scientists, data engineers and product manager, regardless of their professional background. You are collaborative and can positively push other team members towards positive outcomes.

5. You can build a strong relationship with stakeholders and translate complex technical content to business audiences. You can leverage a strong domain knowledge in the personalisation and membership space to understand business needs and translate them into solid technical solutions.

6. You are familiar with Customer Data Platforms, CRM systems and complex data environments.

7. You are eager to learn, both through your day-to-day job and through self-driven initiatives.

8. You are willing to travel occasionally (less than 20% overall).

9. Fluent in English both written and spoken.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you’re interested in this role we encourage you to apply as soon as possible.

What’s in it for you?

Here is what you can expect:

1. Family Care Leave – We offer enhanced paid leave options for those important times.

2. Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

3. Wellbeing – We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

4. Colleague Discount – We know you’ll love to build, so from day 1 you will qualify for our generous colleague discount.

5. Bonus – We do our best work to succeed together. When goals are reached and if eligible, you’ll be rewarded through our bonus scheme.

6. Workplace – When you join the team you’ll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

Research shows that women and people from different underrepresented backgrounds often only apply for a job if they meet 100% of the listed qualifications. For all candidates, if you dream of being a part of our team and you meet many, but not all of our listed qualifications for this role, please apply.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO team today.

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