Senior Data Scientist
Sheffield, England, GB
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingThe Senior Data Scientist is responsible and accountable for leading (and overseeing) technical delivery of Arcadis digital and analytical solutions.
The role sits within our Asset Management service area, in the Solutions Delivery group.
Manage analytical projects so they are on time, on budget and within scope
Act as solution architect so designs meet client needs and can be reused
Build and maintain trusted relationships with client representatives
Peer review reports, dashboards and code from colleagues
Give technical sales support, including software demonstrations and proposals
From the employer’s posting
The Senior Data Scientist is responsible and accountable for leading (and overseeing) technical delivery of Arcadis digital and analytical solutions. The Senior Data Scientist will provide expertise through the implementation of these solutions for our customers, maximising the value of their data to solve their most pressing business problems.
The role sits within our Asset Management service area, in the Solutions Delivery group. This group serves large asset owning organisations across water, rail and road, government and other sectors. The solutions we provide are a combination of configured products and services, so whilst experience in these sectors is desirable, a curiosity to understand the “why” behind the problem and the ability to contextualize to the sector, are essential.
Manage the delivery of analytical projects to clients ensuring assigned projects are delivered on time, within budget, to high quality and in accordance with project scope.
Act as analytics solution architect, ensuring that the design fully meets the client’s needs and wherever possible has the potential to be offered to other clients with minimal re-work
Develop strong and trusted relationships with client representatives driven by track record and credibility.
Peer review of reports, dashboards and code produced by colleagues.
Delivery of technical sales support including software demonstrations.
What you’ll bring
All qualificationsCore experience
- Experience working with modern cloud technologies such as Azure and Fabric.
Qualification wording
* Experience of delivery of analytical projects in a consultancy environment. * An effective communicator who is credible, confident and articulate. Able to communicate complex technical detail (both verbal and written) to non-technical audiences. * Proven ability in presenting methodologies and results to all levels in a business environment. * Demonstrable skills in data collection and interpretation. * Experience coaching other technology professionals at various levels. * Ability to simplify the complex using different communication styles and navigate differing stakeholder points of view. * Understanding of investment models, assets and systems of assets, including Optimisation (linear and non-linear), Prioritisation and Monte Carlo analysis. * Experience of working for a large asset owning company, or on projects for such companies, would be advantageous. * Predictive and/or prescriptive analytics and machine learning. * Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. * Demonstrable use of R, Python, Matlab, SAS, SPSS or similar statistical packages to process data and carry out advanced analytics techniques. * Experience in advanced data visualisation techniques along with tools such as Qlik, Power BI and open source visualisation tools. * Experience working with professional coding technologies such as Git and Docker. Experience working with modern cloud technologies such as Azure and Fabric.
Tools in this posting
- MATLAB
- Python
- R
- SAS
- Azure
- Docker
- Power BI
Source — Tool mentions in context
More importantly than these technical skills, however, we are looking for someone to be an analytics leader, pushing forward the boundaries of what we do, and the standards expected of the wider analytics team. The successful candidate will need to be resilient and maintain a positive attitude when faced with challenges, be an excellent problem-solver, and be happy to be out of their comfort zone. They will need to have excellent communication skills, not just at a technical level, but also with more business-focused colleagues. They will not shy away from a challenge and will stand up and be counted. They will never be satisfied and always look to find the next improvement in what Arcadis does, and how we do it. * Experience of delivery of analytical projects in a consultancy environment. * An effective communicator who is credible, confident and articulate. Able to communicate complex technical detail (both verbal and written) to non-technical audiences. * Proven ability in presenting methodologies and results to all levels in a business environment. * Demonstrable skills in data collection and interpretation. * Experience coaching other technology professionals at various levels. * Ability to simplify the complex using different communication styles and navigate differing stakeholder points of view. * Understanding of investment models, assets and systems of assets, including Optimisation (linear and non-linear), Prioritisation and Monte Carlo analysis. * Experience of working for a large asset owning company, or on projects for such companies, would be advantageous. * Predictive and/or prescriptive analytics and machine learning. * Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. * Demonstrable use of R, Python, Matlab, SAS, SPSS or similar statistical packages to process data and carry out advanced analytics techniques. * Experience in advanced data visualisation techniques along with tools such as Qlik, Power BI and open source visualisation tools. * Experience working with professional coding technologies such as Git and Docker. Experience working with modern cloud technologies such as Azure and Fabric. Why Arcadis?
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 7, 2026 · 53 days ago
- Recorded sightings
- 194
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.arcadis.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sheffield, England, GB
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.