Senior Data Scientist (Operational Research)

This position offers you the opportunity to join a fast growing technology organization that is redefining productivity paradigms in the software engineering industry. 

Thanks to our flexible, distributed model of global operation and the high caliber of our experts, we have enjoyed triple digit growth over the past five years, creating amazing career opportunities for our people.

This role as a Senior Data Scientist involves creating and implementing data-driven models to enhance decision-making across digital tools, core systems, and data platforms within Integrated Operations

Responsibilities include delivering analysis and insights to address key business challenges, improving decision quality, and supporting the business plan.

The position requires a structured approach to complex issues, developing mathematical models and data products to evaluate scenarios, and using analytics techniques, such as statistics, data mining, and operational research, to deepen understanding of the business and provide continuous decision support.

The impact you'll make:

Develop predictive models to forecast business metrics and support strategic planning

Apply operational research methods to improve processes and decision-making

Design and implement optimization algorithms to enhance efficiency and outcomes

Work with large datasets, ensuring data quality and integrating with databases

Deploy algorithms in production environments and build dashboards for insights

Communicate complex findings clearly to technical and non-technical stakeholders

Continuously improve skills and contribute to team knowledge

Skills:

Strong proficiency in Python and SQL

Experience in operational research, predictive modeling, and optimization techniques 

Analytical mindset with problem-solving skills

Ability to work independently on multiple projects

Data visualization experience is a plus

What you'll bring to us:

Degree in Math, Statistics, Computer Science, Engineering, or similar field

5+ years of experience in data science including experience in operational research

Experience in logistics, transportation, airlines, railways, or shipping is a plus

Location:

UK-based: Hybrid model at the office in Hayes, West London. The employee must be available to work on-site 2–3 days per week, depending on client needs.

Spain or Portugal: Flexible remote work, with availability to travel to the UK office in Hayes, West London, twice per month.

Some of the benefits you’ll enjoy working with us:

Work with a multicultural team of experts on high-impact projects.

Competitive compensation, annual training allowances, and flexible hybrid work.

Opportunities to shape industry-leading data products.

The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built.

Medical insurance.

Come and join our #ParserCommunity. 

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