Data Scientist (Operational Research) position in Nottingham, UK
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Permanent
Based in Nottingham, UK
Salary: £35,000 - £50,000
Our Data Science and Research team consists of four PhD-level Data
Scientists, a Junior Data Scientist and a Senior Research Programmer. As a
team, we regularly collaborate with a number of universities on various R&D
projects and MSc/PhD research studies, as well as work on a great variety
of collaborative R&D projects with partners and customers globally in the
area of Operational Research, Predictive modelling, Analytics, and
Artificial Intelligence.
As part of the on-going expansion of our Data Science and Research team,
Microlise, a leading Transport Management Solutions Provider, are looking
for a Data Scientist specialised in Operational Research to support the
growth and exciting projects we are working on!
If you are a Data Scientist, experienced in and passionate about
Operational Research, Optimisation, and Big Data Analytics, and you are
looking for an opportunity where you will be supported with your continuous
professional and personal development – then we want to hear from you!
You can find more details and apply online at:
https://www.microlise.com/careers/job/107999/
The successful applicant will be responsible for:
- Applying operational research, combinatorial optimisation, heuristics,
computational/artificial intelligence and big data analytics techniques
- Designing and implementing Local Search, Heuristics and Meta-heuristics
algorithms
- Performing exploratory, experimental, analytical and visualisation works
- Complete the analysis, design and build of data models, propensity
models, analytical models and business and personal insights
- Preparing technical and scientific reports, presentations and patent
applications
- Framing business problems into questions that can be answered through
data analysis, and translating business needs into requirements that can be
understood by technical teams
Knowledge & Experience Required:
- PhD degree (or close to completion) in Operational Research, Computer
Science, Mathematics, Engineering or a related discipline
- A years' experience in operational research, combinatorial optimisation
or computational intelligence as a minimum
- Demonstrable in-depth knowledge of operational research, analytics and
mathematical modelling
- Experience of designing and developing optimisation, local search,
heuristics and meta-heuristics algorithms
- Proven knowledge of at least one programming language such as; C# or C++
- Strong reporting and communication skills whilst working on a number of
tasks on a variety of different projects at the same time
- Ability to change direction quickly based on data analysis
- Naturally inquisitive and enjoy discovering then solving problems
- Build collaborative partnerships with data scientists, data architects,
technical leads, product managers and key individuals within other
functional organizations.
- Adaptable and flexible to respond to the changing needs of a dynamic
business
- Embrace challenge and be passionate about solving hard problems
- Collaborate effectively in interdisciplinary teams
Desirable:
- 2+ years of experience in operational research, combinatorial
optimisation, computational intelligence, research computing or data science
- Experience in working on routing and scheduling algorithms
- Experience in working with analytical tools such as R
- Experience in working with large data sets (multi-gigabytes)
- Experience in working with data visualisation tools such as Tableau and
Power BI
- Knowledge of vehicle telematics systems and transport logistics
Support be will provided to attend and present at national/international
conferences and workshop in your research area.
The application deadline is March 8th, 2020. We recommend that candidates
apply as soon as possible since applications will be reviewed as they are
received, and interviews arranged on a rolling basis.
This role is eligible for a Certificate of Sponsorship for a UK Visa and
meets the resident labour market test.
Informal enquiries are welcome and may be sent to
mohammad.mesgarpour@microlise.com
Dr Mohammad Mesgarpour
Head of Data Science and Research
Microlise
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