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- Tasks: Create data-driven models to enhance decision-making and improve processes.
- Company: Fast-growing tech organisation redefining productivity in software engineering.
- Benefits: Competitive pay, training allowances, flexible hybrid work, and medical insurance.
- Why this job: Join a multicultural team and shape industry-leading data products.
- Qualifications: Degree in relevant field and 5+ years of data science experience.
- Other info: Exciting career growth opportunities in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Scientist (Operational Research)
Join to apply for the Senior Data Scientist (Operational Research) role at Parser
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.
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.
We are an equal opportunities employer and welcome applications from all qualified candidates.
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Senior Data Scientist (Operational Research) employer: Parser
Contact Detail:
Parser Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Operational Research)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data-driven models and projects. This is your chance to demonstrate your expertise in Python, SQL, and operational research techniques to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle case studies or technical questions that test your analytical mindset and ability to work with large datasets.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our fast-growing team.
We think you need these skills to ace Senior Data Scientist (Operational Research)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in operational research, predictive modelling, and any relevant projects that showcase your skills in Python and SQL.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at Parser. Don’t forget to mention specific examples of your work!
Showcase Your Problem-Solving Skills: In your application, emphasise your analytical mindset and problem-solving abilities. We love candidates who can tackle complex issues with structured approaches, so share examples of how you've done this in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Parser
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with operational research, predictive modelling, and optimisation techniques. They’ll want to see how you can apply these skills to real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your analytical mindset and ability to work independently on complex projects. This will demonstrate your structured approach to problem-solving.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think of ways to make your insights accessible. Consider using visuals or analogies to help convey your points.
✨Understand the Company and Its Needs
Research Parser and their approach to productivity in software engineering. Familiarise yourself with their projects and values. This will not only help you tailor your answers but also show your genuine interest in the role and how you can contribute to their growth.
