Data Scientist (Operational Research) position in Nottingham, UK
----------------------------------------------------------------------------------------
Microlise is one of Europe's largest telematics and transport management
solutions providers with the HQ in Nottingham, Our mission is to empower
our customers such as Tesco, Sainsbury's, DHL, ASDA, Waitrose, Co-op, Eddie
Stobart, Royal mail, MAN, DAF, TATA to reduce their costs and environmental
impact by maximising the efficiency of their transportation operations. We
achieve this with our great employees who continue to develop and deploy
innovative, industry-leading technology solutions and services that enable
our customers to optimise fleet utilisation and driver performance, to
reduce costs and to improve service delivery.
The Data Science and Research team which consists of four PhD-level Data
Scientists, a Junior Data Scientist and a senior Research Programmer
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
to appoint a Data Scientist - Operational Research. (Permanent,
Nottingham, £30,000 - £50,000).
You can find more details and apply online at:
https://www.microlise.com/careers/job/84656/
The successful applicant will be responsible for:
- Applying operational research, combinatorial optimisation,
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.
Essential
- PhD degree (or close to completion) in Operational Research, Computer
Science, Mathematics, Engineering or a related discipline.
- 1+ year of experience in operational research, combinatorial optimisation
or computational intelligence
- Good knowledge of operational research, combinational optimisation,
heuristics/meta-heuristics and mathematical modelling
- Experience of designing and developing optimisation, local search
heuristics and meta-heuristics algorithms
- Proven knowledge of at least one object-oriented programming language
- Strong reporting and communication skills whilst working on a number of
tasks on a variety of different projects at the same time.
- Demonstrates good knowledge of MS Excel, Word and PowerPoint
- Ability to change direction quickly based on data analysis
- Enjoying discovering and solving problems
- Build collaborative partnerships with data scientists, data architects,
technical leads, product managers and key individuals within other
functional organizations.
- Being able to work independently
- Be 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 vehicle routing and scheduling algorithms Proven
knowledge in C#
- knowledge of analytical tools such as R
- knowledge of data visualisation tools such as Tableau and Power BI
- Knowledge of vehicle telematics systems and transport logistics
The application deadline is September 15th, 2019.
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
-----------------------------------------------------------------
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
