Research Data Scientist

SAMY Iberia; London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global agency in London is seeking a Data Scientist to manage and deliver data science projects. The ideal candidate will have a Bachelor's degree and at least 3 years of experience in the field. Proficiency in Python and R is crucial, alongside a solid understanding of data governance principles. This position offers a flexible hybrid working environment and a range of benefits including a pension scheme and unlimited paid holiday allowance.

Benefits

Workplace pension scheme

Flexible hybrid working

Quarterly company outings

Employee health benefit (Medicash)

Qualifications

• 3+ years of experience as a Data Scientist or in a similar role.
• Solid understanding of data science modeling methods, especially NLP.
• Experience with data studio software.

Responsibilities

• Design and deliver experiments expanding data science capabilities.
• Maintain and develop R packages and Shiny apps.
• Collaborate with AI and ML teams to translate ideas into implementations.

Skills

Proficiency in Python

Proficiency in R

Data governance principles

APIs for data extraction

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Shiny

Plotly

Looker

Job description

Overview

SAMY is a leading global social first agency. We activate end-to-end media strategies, connecting with audiences in the most integrated and effective ways to solve key business challenges and make brands matter. We are the first international ecosystem fueled by creativity, technology and culture, with a team of 900+ people across 20 offices and 55 markets, serving more than 270 leading clients including Europe, the U.S. and Latin America. We work with blue-chip brands such as L’Oréal, The North Face, Diageo, Microsoft and Samsung, among others. Our vision is to lead the evolution of brand communication, and we aim to be Bold, Human and Transformative, adventurous, and focused on pushing boundaries.

This is your opportunity to work around the globe with exciting clients on projects that shape the industry.

Role Overview

As a data scientist, you will report to the Head of Data Science and be responsible for scoping, managing, and delivering data science research projects to clients and for developing our analytic tools and pipelines. Projects may involve direct client research (e.g., NLP on large language data sets or segmenting corpora of influencers) or experimental development (e.g., designing experiments to compare LLMs or taking a research model into an app). The role spans the full breadth of data science skills and responsibilities and is a great opportunity for a scientifically minded individual to develop across the discipline.

We are at an exciting time for data science and influencer marketing, working with fascinating digital behavioral data. The role centers on advancing DS and AI while safeguarding user data and building secure, representative pipelines.

Key Responsibilities

• Data Experimentation: Design, conduct, and deliver experiments that expand the potential of our data science capabilities.
• Data Research: Design and deliver research methodologies as part of client funded projects, typically NLP on large language datasets from social listening or digital communities.
• Package Management: Maintain and develop our in-house suite of R packages, Shiny apps, and libraries to improve replicability of workflows.
• Future States: Collaborate with our AI and ML team to scale prototypes and translate ideas into practical implementations.
• Stakeholder Engagement: Scope feasibility of projects with stakeholders while identifying opportunities to innovate.
• Collaboration & Mentorship: Learn from a diverse group of data scientists and contribute to a collaborative, well-rounded team.

Requirements

Required Skills & Experience:

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience as a Data Scientist or in a similar role.
• Proficiency in Python and R
• Strong experience with R and Python packages for applied delivery like Shiny and Plotly
• Experience with data studio software like Looker is desirable.
• Solid understanding of data science modeling methods, specifically relating to NLP and dimension reduction.
• Familiarity with data governance principles and data security best practices.
• Experience working with APIs for data extraction.

Benefits

• Workplace pension scheme
• Quarterly company outings
• Quarterly company awards
• SHARE Birthday bank holiday in November
• Fully stocked breakfast kitchen and beer fridge
• 3pm finish every Friday
• Flexible hybrid working
• Gympass
• Mentor scheme
• Training scheme
• Monthly massage & hairdresser appointments
• Employee referral scheme
• Employee assistance programme (Health Assured)
• Employee health benefit (Medicash)
• GOV bike cycle to work scheme
• Season ticket loan
• Contractual 25 annual labour days, with an unlimited paid holiday allowance