Data Scientist
Slr Consulting Limited, City of Westminster
Data Scientist
Salary not available. View on company website.
Slr Consulting Limited, City of Westminster
- Full time
- Permanent
- Onsite working
Posted 3 days ago, 2 Apr | Get your application in today.
Closing date: Closing date not specified
job Ref: b85438b4fbcb4aae965f9409dbe6c1e8
Full Job Description
An excellent opportunity has arisen for a highly motivated data science professional with a genuine passion for machine learning, data analytics, and problem-solving to join our growing data science capability. The role, based from our Leeds, Manchester, London, or Newcastle offices, offers an opportunity to contribute to and help shape the development of our expanding data science function. This position will allow you to work collaboratively with experts across disciplines and play an active role in influencing the team's direction and best practices. The successful candidate will join a growing data science team and have the opportunity to help influence its direction, contributing to best practices, new initiatives, and collaboration across the business., Day-to-day responsibilities will include:
- Working with internal stakeholders to create data science solutions for environmental and sustainability challenges
- Using Python and popular data science libraries (like Pandas, NumPy, Scikit-learn, and xarray) to handle data, perform analysis, and build models
- Building reproducible workflows and apply software best practices, such as unit tests, CI/CD, and version control with Git
- Communicating clearly to technical and non-technical audiences, including through presentations, workshops, and client discussions
- Keeping up with the latest developments in AI, data science, and sustainability
- Documenting work, code, and findings to ensure reproducibility and knowledge sharing
- Playing a key role in contributing to the growth of the data science function by improving processes, sharing knowledge, mentoring others, and fostering collaboration across the business
We are looking for a Data Scientist with a Bachelor's degree qualification in mathematical, scientific, engineering or related discipline, as well as: - Strong Python programming skills with experience using data science libraries (like Pandas, NumPy, Scikit-learn, and xarray)
- Knowledge of software development best practices, including CI/CD, unit tests and version control
- Ability to translate complex problems into practical data science solutions
- Experience with machine learning
- Experience with cloud platforms for data science (eg Azure, AWS, GCP)
- Strong analytical skills with a solid understanding of statistics and probability
- Effective communication skills, along with the ability to present approaches and contribute to workshops Diversity, Equity, and Inclusion at SLR We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional DE&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.
SLR are global leaders in environmental and advisory solutions helping our clients achieve their sustainability goals. We are a consultancy with over 4,500 employees across 6 regions - including over 1,500 staff across Europe. SLR's 'one team' culture is at the heart of our business; providing a collaborative and supportive environment for professional development. SLR's data science function provides expert support and advice on AI, machine learning, data analytics, and digital tool development across SLR's key strategic initiatives. As part of this role, you will work closely with specialists from different teams to develop innovative solutions, establish best practices, and enhance our data science offering. Projects are primarily located throughout Europe but with an increasing focus on international opportunities. As a forward-thinking business with ambitious growth plans, SLR is a global consultancy and offers significant potential for career development and enhancement based on performance. Our culture, flat management structure and straightforward approach to project and budget management gives everyone the opportunity to progress and to work on interesting projects with valued clients.
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