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    • Junior Big Data with PYTHON.
    • Data Exploration:* Clean, transform, and analyse large datasets to identify trends and patterns.
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    • As a Full Stack Engineer you'll assist with ongoing efforts to optimise the business through the use of automation and AI.
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    • HOURS: Full-time - 40 hours per week, Monday - Friday.
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Job Post Details

Big Data Developer - job post

Information Tech Consultants
1.3 out of 5 stars
Greater London
£35,000 - £45,000 a year - Permanent, Full-time
Responded to 51-74% of applications in the past 30 days, typically within 3 days.

Job details

Pay

  • £35,000 - £45,000 a year

Job type

  • Permanent
  • Full-time

Location

Greater London

Full job description

!!IMMEDIATE JOINERS !!

Junior Big Data with PYTHON

**MASTERS DEGREE MANDATORY**

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 :

  • Strong programming skills in Python with knowledge in ML/Al libraries (TensorFlow, PyTorch, scikit-learn, Keras).
  • Experience with SQL/NoSQL databases and data pipelines.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka

Preferred Skill Sets:

  • Good to have large datasets and using tools such as Pandas, NumPy, and Matplotlib.
  • Good to have knowledge with containerization and orchestration (e.g., Docker, Kubernetes).
  • Contributions to open-source ML/Al projects.
  • Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
  • 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).

Strong mathematics and statistics background.

Pay: £35,000.00-£45,000.00 per year

Ability to commute/relocate:

  • Greater London: reliably commute or plan to relocate before starting work (preferred)

Application question(s):

  • We must fill this position urgently. Can you start immediately?
  • Please confirm your visa status.
  • Are you available for relocation across UK for projects?
  • We must fill this position urgently. Can you start immediately on Tuesday (23rd June"26) ?

Education:

  • Bachelor's (preferred)

Work Location: In person

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