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- Tasks: Drive impactful data solutions using machine learning and collaborate across teams.
- Company: TMI, a global digital agency known for performance and innovation.
- Benefits: 25+1 holiday days, pension scheme, medical benefits, and personal days.
- Other info: Remote work environment with opportunities for continuous learning and growth.
- Why this job: Join a dynamic team and make a real impact with cutting-edge data science.
- Qualifications: Degree in a quantitative field and experience in data science and machine learning.
The predicted salary is between 30000 - 40000 £ per year.
TMI is a global-facing, independent digital agency built for performance, agility and partnership. We create award-winning, data-led campaigns across the globe for clients in e-commerce, finance, iGaming, beauty, skincare and grocery. TMI is guided by the core values of unified collaboration, data-centric strategy, proactive engagement, inclusivity, authenticity and integrity. We challenge convention and deliver exceptional results through a truly unique approach.
About the Role
We’re looking for a versatile and innovative individual with expertise in data science and machine learning to drive impactful solutions across the organization. Responsibilities include conducting exploratory analysis, testing hypotheses, and engineering, training, and evaluating Machine Learning models to address complex challenges. You will design and interpret experiments to generate actionable insights, collaborate with data engineers to enrich datasets, and develop internal tools using open-source models, including OpenAI-powered systems. Working closely with the BI team and other departments, you will identify opportunities to apply AI and Machine Learning, translate business requirements into effective solutions, and provide technical expertise in client and stakeholder engagements. Additionally, you will analyze datasets for insights, monitor and improve predictive model performance, and stay updated on the latest trends and best practices in data science and digital marketing to enhance organizational capabilities.
Role Requirements
You Must Have- A recognized degree in a quantitative field (e.g., Computer Science, Data Science, Software Engineering, Mathematics, or a related discipline).
- Proven relevant experience in a similar role.
- Strong understanding of Probability, Statistics and Machine Learning.
- Understanding of Artificial Intelligence and Machine Learning concepts, with experience developing models.
- Proficiency in Python programming, including experience with libraries such as Pandas, Scikit‑Learn, and visualization tools like Seaborn and Matplotlib.
- Ability to write clean, efficient, and well-documented code, including the ability to implement unit tests to ensure code quality and reliability.
- Strong problem-solving and critical-thinking skills.
- Excellent communication skills to collaborate effectively, convey technical concepts, and support data-driven decision-making.
- Enthusiasm for continuous learning, with the ability to self-motivate and work independently.
- Knowledge of SQL and experience querying large databases.
- Familiarity with other programming languages (e.g., Java).
- Awareness of digital marketing concepts, especially in the paid space.
- Experience using version control tools, such as Git.
- Familiarity with at least one Cloud Platform (AWS/GCP/Azure).
About you
- You need a dynamic, remote environment.
- High competency in Excel, Word and PowerPoint.
- You take the initiative.
- You have a problem-solving attitude.
- A willingness to learn.
- You possess analytical, numerate aptitudes.
- You have strong English communication skills, both written and verbal.
Holiday | 25 + 1 p/a
Pension | 5% ER – Salary Sacrifice
Mat / Pat | Yes – Above stat.
Medical | Yes (Vitality)
Personal Days | 3 p/a
Junior Data Scientist in London employer: The Media Image
Contact Detail:
The Media Image Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning. This is your chance to demonstrate your expertise and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at TMI.
We think you need these skills to ace Junior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Data Scientist role. Highlight your expertise in data science, machine learning, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our values at TMI. Be authentic and let your personality come through – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any other tools or languages you’re familiar with. If you’ve got experience with libraries like Pandas or Scikit-Learn, make sure to highlight that. We’re keen to see your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at The Media Image
✨Know Your Data Science Fundamentals
Make sure you brush up on your knowledge of Probability, Statistics, and Machine Learning concepts. Be ready to discuss how you've applied these in past projects or coursework, as this will show your understanding and ability to tackle complex challenges.
✨Showcase Your Coding Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding abilities. Bring examples of clean, efficient code you've written, and be ready to explain your thought process behind implementing unit tests and using libraries like Pandas and Scikit-Learn.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. You’ll need to collaborate with various teams, so being able to convey your ideas clearly will set you apart. Consider doing mock interviews with friends to refine your communication skills.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in data science and digital marketing. Being able to discuss recent developments or tools you've explored shows your enthusiasm for continuous learning and can impress interviewers looking for a proactive candidate.