Data Scientist in London

Data Scientist in London

London Full-Time 50000 - 70000 £ / year (est.) No home office possible
Satalia (NPComplete)

At a Glance

  • Tasks: Develop cutting-edge AI solutions and analyse multimodal datasets to solve complex problems.
  • Company: Join Satalia, a forward-thinking WPP company focused on innovation and inclusivity.
  • Benefits: Enjoy flexible working, health insurance, generous leave, and an annual development budget.
  • Other info: Dynamic team culture prioritising wellbeing and personal growth.
  • Why this job: Be at the forefront of AI technology and make a real impact on meaningful projects.
  • Qualifications: Experience in machine learning, Python proficiency, and strong communication skills required.

The predicted salary is between 50000 - 70000 £ per year.

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company, 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.

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.

YOUR RESPONSIBILITIES

  • 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.

MINIMUM QUALIFICATIONS / SKILLS

  • 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.

WE OFFER

  • Development – annual development budget to upskill yourself.
  • Benefits – Health insurance.
  • 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 – plus bank holidays and enhanced family leave.
  • Transparent and open culture – you will be listened to and heard.

As an equal opportunity employer, we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. In addition, please note that background checks are included as part of our onboarding process. Good luck!

Data Scientist in London employer: Satalia (NPComplete)

Satalia is an exceptional employer that champions innovation and personal growth within a supportive and inclusive work environment. With a focus on wellbeing, flexible working arrangements, and a commitment to impactful projects, employees are empowered to thrive both professionally and personally. Joining Satalia means being part of a forward-thinking community dedicated to pushing the boundaries of AI technology while celebrating individual contributions.
Satalia (NPComplete)

Contact Detail:

Satalia (NPComplete) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to current employees at Satalia on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since Satalia is all about cutting-edge AI, be ready to discuss your experience with machine learning models and algorithms. Practice explaining complex concepts in simple terms – you’ll need that for non-technical stakeholders!

✨Tip Number 3

Show your passion for data science! During interviews, share specific projects you've worked on that relate to the role. Highlight how you’ve tackled challenges and what you learned from them. This will demonstrate your commitment and fit for the team.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Satalia community. Good luck!

We think you need these skills to ace Data Scientist in London

Machine Learning
Algorithms
Data Analysis
Deep Learning
Computer Vision
Natural Language Processing
Python Programming
Git
Communication Skills
Presentation Skills
Collaboration Principles
Multi-modal Datasets
AI Research Trends
Integrated AI Solutions

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially in machine learning and data analysis. We want to see how your skills align with our mission at Satalia!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and data science, and explain why you want to join our team. Let us know how you can contribute to our innovative projects.

Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Satalia (NPComplete)

✨Know Your Algorithms

Brush up on your machine learning algorithms and principles. Be ready to discuss how you've applied them in real-world scenarios, especially in building and deploying models. This will show that you not only understand the theory but can also put it into practice.

✨Showcase Your Projects

Prepare to talk about specific projects where you've worked with multimodal datasets or deep learning models. Highlight your role, the challenges you faced, and the impact of your work. This will demonstrate your hands-on experience and problem-solving skills.

✨Communicate Clearly

Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying complex ideas. Use examples from your past experiences to illustrate your points. Clear communication is key in a collaborative environment like Satalia.

✨Embrace Flexibility

Familiarise yourself with Satalia's culture of flexibility and wellbeing. Be prepared to discuss how you manage your productivity and work-life balance. Showing that you align with their values will make a positive impression.

Data Scientist in London
Satalia (NPComplete)
Location: London

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