Senior Data Engineer

!! IMMEDIATE JOINERS !!

Senior Data Engineer / Junior Data Scientist (Python & SQL)

Location: London

Work mode: On-site

Salary: 35K-45K PA

Job Type: Full-time, Entry-level

***UK based candidates ONLY ***

What You’ll Do (Responsibilities)

• Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns.
• Model Building: Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python.
• Database Management: Write and optimize SQL queries to extract data from various relational databases.
• Visualization: Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders.
• Collaboration: Partner with engineering and product teams to understand data needs and ensure data integrity.
• Continuous Learning: Stay up-to-date with the latest data science trends and participate in internal knowledge-sharing sessions.

Required Skills (What we're looking for)

Technical Skills:

· Strong programming skills in Python with expertise in ML/Al libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

· Experience working with large datasets and using tools such as Pandas, NumPy, and Matplotlib.

· Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GP).

· Familiarity with big data technologies like Hadoop, Spark, or Kafka

· Experience with SQL/NoSQL databases and data pipelines.

· Experience with containerization and orchestration (e.g., Docker, Kubernetes).

Preferred Qualifications:

· Hands-on experience in productionizing machine learning models.

· Prior experience in building recommendation systems, predictive analytics, or anomaly detection models.

· Contributions to open-source ML/Al projects.

· Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.

· Strong mathematics and statistics background.

· Excellent problem-solving and critical thinking abilities.

· Ability to work independently and collaboratively within a team.

· Strong communication skills to explain technical details to non-technical stakeholders.

Education: Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).