Data Scientist / Analyst

Bristol, England, United Kingdom

Applications have closed

Data Scientist / Analyst
Bristol

We are a new and exciting technology-led e-commerce fulfilment company, focused on helping online sellers grow their business by providing global fulfilment.

Our team at Huboo is growing and this exciting opportunity could be just what you are after for your next challenge! You will be working in a frequently evolving agile environment working to help Huboo scale as a global business. You will be involved in the entire software development lifecycle: to analyse, design, develop, test, and deploy software as part of an autonomous team.

You will be joining an energetic and dynamic team in our offices in central Bristol. We are looking for someone with lots of enthusiasm with a desire to learn and succeed, a focused mind and a “Can Do” attitude.

Our new Data Scientist/Analyst will work closely within our Analytics team, which sits as part of the Data department. The data department is broken in Data Analytics, Machine Learning, Automation/Modelling and Support. They will be making a positive impact on our clients and people.

Key responsibilities for a Data Scientist/Analyst:

  • Conduct robust analyses that follow a structured process: data validation,
    data exploration, data transformation, data visualisation, and
    communicating results
  • Interacting with operation managers, customers, prospects (alongside
    salespeople and subject matter experts) and other stakeholders to understand how data analysis techniques can be used to meet their
    needs, using data collected by our platform
  • Working closely with our Head of Data Science to research and design
    analytical models and prototypes
  • Automate data integrity, data normalisation and analytics using Advanced
    BI tools and Python programming
  • Developing ad-hoc analyses - often under time pressure - to help our
    subject matter experts deliver insights to prospects and to clients

Requirements


What we look for in a Data Scientist/Analyst:

We would love to hear from you if you have:

  • Proficiency in Python programming for data manipulation
  • Used packages: Numpy, Pandas, Seaborn, Matplotlib, Dash, FastAPI, SQLAlchemy & SciPy
  • A solid knowledge of dashboard creation and data analytics (e.g., Plotly,
    bokeh, d3.js). Experience with time series data analysis
  • An understanding of Restful API for automating data extraction from 3-party
    software and creation of data pipelines
  • Fluency in SQL
  • Exposure to working with large, complex, and messy data sets
  • Experience working in an agile software development environment
  • Technologies: Docker, Git version control
  • A degree in Computer Science, Engineering, or relevant field (2:1 min)
  • Comfortable learning new tools, research new ideas and stay up to date
    with industry developments
  • Experience using Python for application development and APIs (Flask,
    SQLAlchemy, etc)
  • Experience with BI tools, such as PowerBI and Tableau
  • Experience with CI/CD and automation tools such as GitLab CI/CD
  • Front-end application development languages (HTML/ CSS, JavaScript) and
    frameworks, specially Vue.js.
  • MySQL and noSQL databases, such as MongoDB

Desirables for a Data Scientist/Analyst:

  • Experience using Python for application development and APIs (Flask,
    SQLAlchemy, etc)
  • Experience with BI tools, such as PowerBI and Tableau
  • Experience with CI/CD and automation tools such as GitLab CI/CD
  • Front-end application development languages (HTML/ CSS, JavaScript) and
    frameworks, specially Vue.js.
  • MySQL and noSQL databases, such as MongoDB

Benefits

What do we offer for a Data Scientist/Analyst?

  • Competitive salary
  • 25 days paid holiday plus bank holidays
  • Flexible working hours – Monday to Friday
  • Perk box
  • Casual dress
  • Access to VIP experiences through our partnership with Bristol Sport
  • Company social events - Paid to party events (we love to party!)
  • Free Parking

Huboo’s Values and what you need to be a Data Scientist/Analyst:

Integrity: Fairness is really important to us. We speak with clarity, honesty, frankness and transparency to our customers, to our partners and to our colleagues. We do what we say we will.

Ambition: We make bold decisions with a focus on growing the business and striving to be leaders in our field. We show up to be our best for our customers and each other.

Focus: We are wholeheartedly committed to our mission and our customers. We aren’t robots but human beings with a single-minded determination to deliver to exceptional standards.

Solidarity: Our business only works because of the strong relationships we build with those around us. We are friendly, approachable, and human in everything we do. We are one team; we work together to build the business and support our customers.

About us:

We specialize in fulfilment warehouse solutions and work with eCommerce businesses. We store, pick, pack and dispatch our client’s products, alleviating the pressures for our clients, that come with fulfilling their customer’s needs.

We have our software developers making it possible for us to integrate with any eCommerce platform and work with our clients.

What makes us stand out from the crowd is our unique Hub Model, which allows our customers to have direct contact with the people who are picking, packing, and dispatching their product, to their customers.

If you feel you have the right skills and abilities to be a successful Data Scientist/Analyst, then apply today…

Job Types: Full-time, Permanent


* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile APIs CI/CD Computer Science D3 Data analysis Data Analytics Data pipelines Docker E-commerce Engineering Flask Git GitLab JavaScript Machine Learning Matplotlib MongoDB MySQL NoSQL NumPy Pandas Pipelines Plotly Power BI Python Research SciPy Seaborn SQL Tableau

Perks/benefits: Career development Competitive pay Flex hours Team events

Region: Europe
Country: United Kingdom
Job stats:  10  4  0

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