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- Tasks: Join our data science team to develop cutting-edge AI solutions and analyse multimodal datasets.
- Company: VML is a global leader in innovation, blending creativity with technology across 150+ offices worldwide.
- Benefits: Enjoy flexible working hours, health insurance, generous leave, and an annual development budget.
- Why this job: Be part of a transformative moment in AI, working on impactful projects that shape the future.
- Qualifications: Experience in machine learning, Python proficiency, and strong communication skills are essential.
- Other info: We celebrate achievements and prioritise wellbeing in a transparent, inclusive culture.
The predicted salary is between 28800 - 48000 £ per year.
Our CompanyAt 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.
Global PresenceOur 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.
The OpportunityWe 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.
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.
Life as a SatalianAs 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.
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 – 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.
EEO StatementWPP (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.
Seniority LevelEntry level
Employment typeFull‐time
Job FunctionEngineering and Information Technology
IndustryIT Services and IT Consulting
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Data Scientist employer: VML Enterprise Solutions
Contact Detail:
VML Enterprise Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those related to multimodal datasets. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the data science community on platforms like LinkedIn or GitHub. Share your projects or insights related to AI and machine learning, as this can showcase your skills and passion to potential employers at VML.
✨Tip Number 3
Prepare to discuss your experience with both structured and unstructured data. Be ready to provide examples of how you've successfully built and deployed machine learning models, as this is crucial for the role.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll need to communicate with non-technical stakeholders, being able to convey your ideas clearly will set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on machine learning and AI projects. Use specific examples that demonstrate your skills in developing algorithms and working with multimodal datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data science. Mention how your background aligns with VML's mission and the specific role. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
Showcase Your Projects: Include links to any relevant projects or portfolios that showcase your work with machine learning models, especially those involving deep learning for computer vision or natural language processing. This will give them a tangible sense of your capabilities.
Prepare for Technical Questions: Anticipate technical questions related to algorithms, data analysis, and programming in Python. Be ready to discuss your previous experiences in detail, including challenges faced and how you overcame them.
How to prepare for a job interview at VML Enterprise Solutions
✨Showcase Your Technical Skills
As a Data Scientist, it's crucial to demonstrate your expertise in machine learning and algorithms. Be prepared to discuss specific projects where you've built and deployed models, and highlight your experience with both structured and unstructured data.
✨Understand the Company’s Vision
Familiarise yourself with VML's mission and recent innovations in AI. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their cutting-edge projects.
✨Prepare for Technical Questions
Expect to face technical questions related to deep learning, Python programming, and data analysis. Brush up on relevant concepts and be ready to explain your thought process clearly, especially when discussing complex problems.
✨Communicate Effectively
Since you'll need to communicate technical challenges to non-technical stakeholders, practice explaining your work in simple terms. This will demonstrate your ability to collaborate effectively within diverse teams.