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Senior Data Scientist

Sage City

Newcastle upon Tyne

Hybrid

GBP 100,000 - 125,000

Full time

30+ days ago

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Job summary

An established industry player is looking for a Senior Data Scientist to join their dynamic team in Newcastle. This hybrid role offers the chance to lead projects that leverage machine learning and data analysis to solve complex business challenges. You will collaborate with cross-functional teams, mentor junior members, and communicate insights effectively. Join a company recognized as one of the best places to work, where innovation and individual contributions are celebrated. If you're passionate about data and eager to make an impact, this opportunity is for you!

Benefits

Flexible working hours
Health insurance
Professional development opportunities
Employee discounts
Wellness programs

Qualifications

  • Strong foundation in Python with experience in data analysis and machine learning.
  • Ability to teach and mentor junior team members is advantageous.

Responsibilities

  • Analyze large datasets using Python and relevant tools.
  • Develop and implement machine learning models for business solutions.

Skills

Python programming
Data fluency (SQL)
Machine Learning
Stakeholder engagement
Coaching and mentoring

Tools

AWS
Snowflake

Job description

Job Description
We are seeking a highly motivated and analytical Senior Data Scientist to join our growing team. You will be joining a growing team which is engaged in a variety of exciting new projects which are crucial for the continued success of Sage.

As a Senior Data Scientist, you will have the opportunity to take a leading role in driving best practices, decision-making and mentorship within the team - engaging in both hands-on technical implementation of Machine Learning (and AI) models as well as working cross-functionally with a variety of different stakeholders.

The ideal candidate will have a strong foundation in Python programming and a passion for leveraging data to solve complex business challenges. In this role, you will work closely with other team members to analyze data, build and deploy models, and contribute to the development of data-driven solutions.

*** This is a hybrid role – you will be working 3 days a week in our Newcastle office. ***

Key Responsibilities
What you will be doing:

  1. Analysing and interpreting large datasets using Python and other relevant tools.
  2. Developing and implementing machine learning models, including but not limited to:
    1. Supervised learning (e.g., regression, classification)
    2. Unsupervised learning (e.g., clustering, dimensionality reduction)
  3. Collaborating with cross-functional teams to define data requirements and translate business needs into analytical solutions.
  4. Communicating complex technical concepts effectively to both technical and non-technical audiences.
  5. Staying abreast of the latest advancements in data science and machine learning.

Requirements:

  1. Data fluency specifically relating to SQL.
  2. Experience working with Python.
  3. Cloud Computing exposure (AWS would be preferred).
  4. Familiarity with Snowflake would be nice-to-have.
  5. Experience in stakeholder engagement in previous roles.
  6. Ability to teach and coach junior team members would be advantageous.

Function
Service Fabric (Data and Developer Services)

Country
United Kingdom

Office Location
Newcastle

Work Place type
Hybrid

Advert
Working at Sage means you’re supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.

Our colleagues are the best of the best. It’s why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.

We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at careers@sage.com.

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