Intermediate Data Scientist

Job Description

We're looking for a Intermediate Data Scientist who is ready to take real ownership of their work and contribute to solving complex, high-impact business problems. This role is ideal for someone who enjoys working independently, building practical machine learning solutions, and turning data into meaningful outcomes. You'll be part of a fast-moving, collaborative environment where curiosity, accountability, and problem-solving are key to success.

Responsibilities

• Own and deliver multiple data science work-streams within projects
• Perform exploratory data analysis (EDA) to uncover insights and guide modelling
• Design, build, and evaluate machine learning models
• Perform feature engineering and data preprocessing at scale
• Translate business problems into structured analytical solutions
• Write clean, scalable, and well-documented code
• Validate and interpret model results, communicating findings clearly
• Collaborate with engineers, product teams, and stakeholders
• Contribute to solution design discussions
• Support and guide junior team members where needed

Qualifications

• 1-3 years of experience in data science, machine learning, or a related field
• Strong programming skills in Python
• Solid understanding of machine learning and data science fundamentals
• Experience with tools such as Pandas, NumPy, Scikit-learn
• Exposure to PyTorch or TensorFlow (advantageous)
• Ability to work independently across multiple tasks
• A STEM degree (BSc minimum; strong academic performance preferred)

Ideal Candidate Traits

• Take ownership of your work and follow through
• Enjoy solving multiple problems at once and managing your own workload
• Can break down business problems into structured technical solutions
• Communicate clearly and confidently
• Are eager to learn, improve, and take on more responsibility

Benefits

• Ownership of real project work and deliverables
• Exposure to complex, real-world data challenges
• Opportunities to contribute to solution design
• Mentorship and support to grow into a senior role
• A clear progression path toward leadership

Working Style

• Work in cross-functional teams to solve complex problems
• Encourage ownership, autonomy, and accountability
• Value clear thinking and strong communication
• Focus on delivering outcomes, not just outputs

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