• Permanent
• Hybrid office and home
• Circa salary £40,000 plus bonus

INRIX is a global leader in the transport and traffic intelligence sector. Our aim is to provide usable, reliable information on human movement to make cities smarter, safer and more desirable. We help to power some of the largest companies and organisations in the world, and are looking for a curious, driven, Data Scientist to help us.

Your role in our team in Altrincham, Manchester will be to help deliver the next generation of traffic insight tools. Be right at the heart of the company and contribute to the delivery of the teams most innovative products. Develop your career by using the latest statistical and machine learning techniques to generate enterprise ready software solutions in a supportive, motivated team.

Why Work at INRIX?

• Creating insight from data is what we do – be part of an experienced mission critical team.
• As part of this team, you can have a real input into the direction of the business.
• The team has a mixture of talents, and you have an opportunity to learn and develop.
• The impact of our products has the power to transform people's lives, globally.
• We routinely work on challenging, non-trivial problems that require innovative solutions.
• Our data is of the highest quality, spend more time working on the solution than cleaning.
• INRIX also offers the opportunity to travel to our offices across the globe.

Key Responsibilities:

• Develop innovative algorithmic tools that add value to our data products.
• Sharing your experience with the team to help develop colleagues.
• Build data-driven products to enhance our products.
• Creatively solve customer-led problems.
• Drive development of new products and quality improvements.
• Doing so by:
• Working with stakeholders across the business to define requirements.
• Handling very large datasets describing the movement of populations.
• Solving complex mathematical and statistical problems.
• Developing high quality, low latency models (ML, statistical, algorithmic).
• Deriving value and insight from data through ground-breaking visualisations.
• Communicate findings and solutions to mixed audiences, both internal and external customers.
• Pioneer the use of emerging data science and machine learning techniques and technologies to ensure best practice within the business.

What We Are Looking For:

Required:

• A creative and inquiring mind with considerable problem-solving ability.
• An excellent grasp of advanced mathematic concepts related to DS (e.g. Linear Algebra, Statistics).
• Experience building ML that has been tested in a real-world setting (production/research).
• The ability to work effectively in a team, take and give advice where necessary.
• An advanced degree in a subject with significant statistical or mathematical content or demonstrable technical strength through experience.
• Demonstrable experience in scientific computing (Python a bonus).
• Right to work in the UK.

Highly Desirable:

• Experience of manipulating exceptionally large datasets, preferably using SQL or Spark.
• An excellent grasp of DS concepts with emphasis on modern ML techniques (DL, RL, GNN, Computer Vision).
• Experience accessing and processing structured and unstructured data in AWS.
• Exceptionally good written and verbal presentation skills.
• Understanding of how to create effective visualisations from data.

Desirable:

• Experience with traffic or mobility data.

We are a company filled with people who are passionate about our customers and building products to keep the world moving smarter, safer, and more efficient. Our customers include the world’s leading automakers, some of the most popular consumer brands, and the most innovative cities, states, and countries.

The problems we solve are ground-breaking and present unique and exciting challenges. The company’s product is the value we can add to raw data, and as such is driven by data. We therefore rely on the best algorithmic insights at a scale that makes it truly unique. We need a motivated self-starter, someone eager to learn, who will enjoy this challenging and varied role.

Equality of opportunity is at the heart of our recruitment process. You’ll be judged on your suitability for the job and nothing else.

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