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Amach

Lead Data Scientist

Reposted 9 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
Lead the delivery of AI solutions, set standards for Data Science, manage a team, and engage with stakeholders to drive business value.
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About us:

Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe.

Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions.

Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning…

The Lead Data Scientist is a senior, hands-on role responsible for designing, building, and owning data science and complex optimisation models within an operations decision-support product suite.

This role requires deep expertise in Operational Research and optimisation, combined with strong communication skills to engage directly with business stakeholders. You will take end-to-end ownership of analytical features, ensuring they integrate seamlessly into the wider technical stack and real operational processes to maximise impact and value.

Please note this role operates in a hybrid model with candidates expected to be able and willing to work from our customer's London office three times per week.

Required Experience:

  • Recent, hands-on commercial experience with Operational Research and optimisation
  • Strong experience with optimisation techniques: linear, non-linear, mixed-integer programming, constraint-based optimisation, scheduling
  • Strong Python expertise with optimisation and data libraries (SciPy, OR-Tools, Gurobi, CPLEX, Pandas, NumPy)
  • Solid data engineering skills (SQL, data pipelines, data quality)
  • Experience productionising models using cloud platforms (AWS preferred), workflow orchestration, experiment tracking, and CI/CD
  • Background in operations-heavy industries preferred (aviation, logistics, supply chain, manufacturing, retail)
  • Strong commercial mindset focused on solving real operational business problems
  • Excellent communication skills with confidence, engaging non-technical stakeholders
  • Comfortable working independently in fast-paced, stakeholder-facing environments
  • Experience coordinating across multiple teams or workstreams

Key responsibilities & duties include:

  • Design, build, and own data science and optimisation solutions across operational domains such as workforce planning, scheduling, and supply chain
  • Own use cases end-to-end: problem definition, modelling, experimentation, and production delivery
  • Act as a senior technical lead, ensuring high-quality analytical and modelling output across teams
  • Coordinate across multiple teams and data science workstreams to align approaches and ensure quality
  • Prototype and industrialise machine learning and optimisation models in Python, following software engineering best practices
  • Build and maintain robust data pipelines, including data cleaning, validation, testing, logging, and CI/CD
  • Diagnose model performance, identify trade-offs, and optimise solutions for real-world operational constraints
  • Engage directly with business stakeholders to frame the right analytical solutions
  • Communicate technical findings and recommendations clearly to non-technical audiences
  • Contribute to roadmap and prioritisation discussions, balancing speed vs long-term value
  • Work independently within a small, high-performing, stakeholder-facing team

Desirable Experience:

  • Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics or a related discipline 
  • Background in consulting, advisory, or professional services environment 
  • Experience working across multiple business domains or geographies 
  • Exposure to regulated, safety-critical or asset-intensive industries 
  • Experience establishing best practices, standards or frameworks for Data Science delivery 
  • Strong interest in ethical, transparent and responsible AI 

What’s in it for you: 

  • An opportunity to join a fast-growing company  
  • Options for career advancement 
  • Learning and development opportunities 
  • Flexible working environment
  • Competitive salaries based on experience 

Equal Opportunity Employer:

Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.

If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!

Not for you?

Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.

P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.

At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers. All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace. 

Your personal data

Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:

  • Used lawfully, fairly and in a transparent way
  • Collected only for valid purposes and not used in any way that is incompatible with those purposes
  • Relevant to the purposes we have told you about and limited only to those purposes
  • Accurate and kept up to date
  • Kept only as long as necessary for the purposes we have told you about
  • Kept securely

If you would like to contact us about your data, please use the following address: [email protected]

Top Skills

Advanced Analytics
AI
Machine Learning

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