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VML Enterprise Solutions

Data Scientist

Job Posted 7 Days Ago Posted 7 Days Ago
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London, Greater London, England
Entry level
London, Greater London, England
Entry level
The Data Scientist will develop machine learning algorithms, analyze multimodal datasets, and create integrated AI solutions while collaborating with product teams and communicating with stakeholders.
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Who We Are:

At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. 

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences.  Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. 

Data Scientist needed to join our team on a permanent basis.The opportunity:

We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our data science team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal and professional growth. You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap. Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills.

What you’ll be doing:

  • Develop and leverage state-of-the-art algorithms and libraries to solve complex problems for our clients.
  • Collaborate with Satalia and WPP Product teams on advanced AI features for marketing applications 
  • Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. 
  • Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. 
  • Stay abreast of the latest trends in AI research and integrate them into our products and services 
  • Communicate technical challenges and solutions to non-technical stakeholders and team members.

What we want from you:

  • Experience in machine learning, with a strong knowledge of algorithms and principles. 
  • Proven track record of building and deploying machine learning models into production. 
  • Hands-on experience with both structured and unstructured data. 
  • Experience with deep learning models for either computer vision or natural language processing. 
  • Proficiency with the Python programming language. 
  • Knowledge of Git and collaboration principles. 
  • Strong communication and presentation skills. 

What we can offer you:

  • Development - annual development budget to upskill yourself
  • Benefits - Health insurance, life assurance, income protection, enhanced pension 
  • Remote working - café, bedroom, beach - wherever works 
  • Impactful projects - focus on bringing meaningful social and environmental change 
  • People oriented culture - wellbeing is a priority, as is being a nice person 
  • Truly flexible working hours - school pick up, volunteering, gym - no problem 
  • Generous leave - 27 days’ holiday plus bank holidays and enhanced family leave 
  • Transparent and open culture - you will be listened to and heard 
  • Annual bonus - when Satalia does well, we all do well

LIFE AS A SATALIAN 

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.

Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated. 

WPP (VML Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X. 

When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Top Skills

Deep Learning
Git
Machine Learning
Python
HQ

VML Enterprise Solutions London, England Office

180 Hampstead Road, London, United Kingdom

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