Junior Data Scientist

Junior Data Scientist

Full-Time 24000 - 32000 £ / year (est.) No home office possible
The Media Image

At a Glance

  • Tasks: Join us as a Junior Data Scientist to analyse data and develop machine learning models.
  • Company: The Media Image is a global digital marketing agency known for innovation and excellence.
  • Benefits: Enjoy 25+1 days holiday, medical cover, and a pension scheme with 5% employer contribution.
  • Other info: Work with cutting-edge AI tools and contribute to impactful projects across various industries.
  • Why this job: Be part of a dynamic team that values creativity, collaboration, and continuous learning in a remote setting.
  • Qualifications: A degree in a quantitative field and at least 1 year of relevant experience required.

The predicted salary is between 24000 - 32000 £ 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.

Desired Requirements

  • 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 worked
  • Pension | 5% ER – Salary Sacrifice
  • Mat / Pat | Yes – Above stat.
  • Medical | Yes (Vitality)
  • Personal Days | 3 p/a

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Junior Data Scientist employer: The Media Image

The Media Image is an exceptional employer that fosters a dynamic and inclusive work culture, offering remote opportunities across the UK. With a strong emphasis on employee growth, we provide access to continuous learning and development in the fast-evolving field of data science and digital marketing. Our commitment to values such as Unity and Data-Driven Excellence ensures that every team member can thrive while contributing to innovative solutions for a diverse range of clients.
The Media Image

Contact Detail:

The Media Image Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Scientist

✨Tip Number 1

Familiarise yourself with the latest trends in data science and machine learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you in interviews but also demonstrate your passion for the field.

✨Tip Number 2

Build a portfolio showcasing your projects, especially those involving Python, machine learning models, and data visualisation. Having tangible examples of your work can set you apart from other candidates and provide talking points during interviews.

✨Tip Number 3

Network with professionals in the data science field. Attend virtual meetups, webinars, or local tech events to connect with others. These connections can lead to referrals or insider information about job openings at companies like us.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges and data science problems. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.

We think you need these skills to ace Junior Data Scientist

Data Analysis
Machine Learning
Python Programming
Pandas
Scikit-learn
Data Visualisation
Seaborn
Matplotlib
SQL
Problem-Solving Skills
Critical Thinking
Communication Skills
Version Control (Git)
Cloud Platforms (AWS/GCP/Azure)
Statistical Analysis
Exploratory Data Analysis
Self-Motivation
Continuous Learning
Digital Marketing Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Junior Data Scientist role. Emphasise your proficiency in Python, machine learning, and any projects that showcase your data analysis capabilities.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your enthusiasm for the role and the company. Mention specific projects or experiences that relate to the responsibilities listed in the job description.

Showcase Your Technical Skills: In your application, include examples of your work with data science tools and libraries like pandas, scikit-learn, and visualisation tools. If you have experience with SQL or cloud platforms, make sure to highlight that as well.

Demonstrate Problem-Solving Abilities: Provide examples in your application that illustrate your problem-solving skills and critical thinking. Discuss how you've approached complex challenges in previous roles or projects, particularly in data-driven contexts.

How to prepare for a job interview at The Media Image

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python, SQL, and machine learning concepts. Bring examples of projects you've worked on, especially those that demonstrate your ability to write clean, efficient code and implement models.

✨Understand the Company’s Values

Familiarise yourself with The Media Image's core values such as Unity and Data-Driven Excellence. Be ready to explain how your personal values align with theirs and how you can contribute to their mission.

✨Prepare for Problem-Solving Questions

Expect to tackle hypothetical scenarios or case studies during the interview. Practice articulating your thought process clearly, demonstrating your critical-thinking skills and problem-solving attitude.

✨Communicate Effectively

Since excellent communication is key, practice explaining complex technical concepts in simple terms. This will show your ability to collaborate with non-technical stakeholders and convey insights effectively.

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