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N201C Vox Studios 1-45 Durham Street London SE11 5JH
hello@decisionLab.co.uk
Ph: +44 (0)20 3735 8580
Work Inquiries
hello@decisionLab.co.uk
Ph: +44 (0)20 3735 8580

Our Purpose:

We inspire you to believe the impossible is possible

Our people

Caitlin Worden Hodge

Caitlin is a Consultant within the Mathematical Modelling and Optimisation team. Caitlin joined decisionLab after completing her EngD thesis on modelling wave energy converters as part of the IDCORE program. Her initial master’s degree is in Aerospace and Aerothermal engineering from the University of Cambridge.

Caitlin Worden Hodge

Senior Consultant

Chris Smith-Clarke

Chris heads up the data science team, working across the full spectrum of data science, from requirements gathering and data exploration, through to building production ready machine learning pipelines and innovative applications of reinforcement learning. Chris helps ensure we extract maximum value from data and build robust and reliable predictive models.

Chris Smith-Clarke

Principal Data Scientist &
Data Science Team Lead

Cristina Morariu

Christina is a senior data scientist with >2 years’ experience in designing & deploying custom production-ready Machine Learning (ML) solutions.

Cristina Morariu

Senior Data Science Associate

David Buxton

David co-founded decisionLab 2011 and is now a MD. Although the decision sciences landscape has evolved rapidly over this time, his mission remains the same: to help our clients grow their business through more effective decision making.

David Buxton

Founder, Executive Chairman & Business Development Director

Deborah Lentle

Debbie joined decisionLab as a graduate after studying Mathematics and Operational Research. Since joining the team, she has worked on a variety of exciting projects including modelling cyber threats, and asset operation and management.

Deborah Lentle

Consultant

Dom Weldon

Dom Weldon is a Principal Software Engineer and Head of decisionLab’s Production Team. Dom’s team works with data scientists and consultants to develop models and turn them into production ready tools.

Dom Weldon

Principal Software Engineer &
Software Production Team Lead

Devika Kaul

Devika’s academic background includes degrees in physics and environmental modelling, which gave her a good understanding of fundamental modelling and optimisation principles. She has worked on a variety of interesting projects, including modelling river catchment hydrology,

Devika Kaul

Consultant

Despoina Moschou

Despoina is a consultant within the Mathematical Modelling & Optimisation team. She holds an M.Sc in Chemical Engineering from Imperial College London and has an extensive research experience in the area of investment modelling and supply chain optimisation for personalised medicinal products.

Despoina Moschou

Consultant

Ian Griffiths

Ian is Chief Strategist at decisionLab. As well as heading up the Asset Management Business Unit and the Aerospace, Defence and Security Business Unit, he is focusing on ways of helping the business develop, and getting stuck into technical work when time allows.

Ian Griffiths

Chief Executive Officer

Ian Temple

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Ian Temple

James Adamson

James is an experienced operational research consultant and mathematical modeler, specialising in mathematical optimisation and agent-based and discrete-event simulation.

James Adamson

Principal Consultant &
Simulation Team Lead

Kelvin Yeung

Kelvin is a consultant with an extensive background in Rail. He worked on major rail infrastructure projects as a system, track and simulation engineer.

Kelvin Yeung

Senior Consultant

Kevis Pachos

Dr Kevis Pachos holds a Ph.D in Environmental Engineering with application to water resources management. His area of expertise is the implementation of adaptive modelling approaches for water resources planning given multiple uncertainties, used to optimise decisions such as how much to invest in water conservation and the construction of reservoirs, transfers, wastewater reuse and desalination plants.

Kevis Pachos

Associate Senior Consultant

Panagiotis Samartzis

Panagiotis employs Machine Learning as well as Optimisation techniques to solve operational problems in a variety of sectors, such as Utilities, Water, Aerospace and others.

Panagiotis Samartzis

Senior Data Scientist

Peter Riley

Peter is a simulation modeler with a background in Mathematics and has experience with a range of BI tools. He has worked on projects across various industries, including pharmaceutical, food, and defence.

Peter Riley

Consultant

Polina Encheva

Polina wishes to identify as a cerebral social scientist one day and is now part of the Business Support Team at decisionLab. She is helping for the smooth running of our London office, and also contributes to some of the business development activities across departments.

Polina Encheva

Office Coordinator

Rachel Hancock

Rachel is a highly experienced Senior HR Consultant, with extensive employment law knowledge, providing jargon free and commercial HR advice. Rachel prides herself on her ability to seek calmness in a storm, nipping problems in the bud before they become full blown nightmares. She listens carefully, rapidly understands issues and quickly follows up with clear analysis of situations with succinct options and routes to available solutions.

Rachel Hancock

HR Consultant (Emphasis HR)

Sumitra Sri Bhashyam

As a decision analyst, she has academic and professional experience in supporting decision making with conflicting objectives and multiple stakeholders, and large and difficult to quantify uncertainties.

Sumitra Sri Bhashyam

Principle Consultant &
Operational Team Lead of Modelling

We are guided by our values:

Applied Creativity

We think creatively, trying to solve problems differently to others, asking questions and trying to find new methods

Happiness

We want the company to be a happy place for all people involved – our staff, our clients and our partners

Best in class

We strive for the best and most effective, be it the people we employ, the techniques we apply, the clients and partners we work with

Boldness

We actively seek to challenge ourselves in the projects we take on and in the ways we solve them and are not afraid to fail, but we learn from them

Passion

We approach our work with real enthusiasm, are determined to deliver, and take ownership and responsibility for our activities

Diversity & Inclusion

We want to have an environment in the office and positively contribute to a community where those of all ages, races, classes, ethnicities, gender identities or expressions, sexual identities, abilities, sizes, nationalities, cultures, faiths, neurotypes and backgrounds can feel welcome and experience a sense of belonging.

The behaviours we expect of our staff are to:

  • Be inclusive.
  • Be supportive of your colleagues.
  • Be collaborative.
  • Be kind.
  • Be a good listener.

Current opportunities

We are always on the lookout for great people. Interested in solving real-world challenges?

Mathematical Modeller

Key Responsibilities:

  • Working in close collaboration with clients to understand their problem, and turn it into a technical solution
  • Following best practices to produce robust and reliable models and optimisation capabilities
  • Using the models to carry out analysis and present the results
  • Taking an active role in the wider knowledge-sharing that happens across the company, and keeping yourself and your team up to date on the newest emerging tools and trends across all aspects of modelling and optimisation

Deep Reinforcement Learning Engineer

Key Responsibilities:

  • Working in close collaboration with clients to understand their problem, and turn it into a technical solution
  • Supporting the design and delivery of technical solutions from initial problem exploration to development and deployment of models/agents
  • Writing readable, reusable and tested code, and following the company’s development processes
  • Taking an active role in the wider knowledge-sharing that happens across the company and keeping yourself and your team up to date on the newest emerging tools and trends across all aspects of data science and AI

Data Scientist

Key Responsibilities:

  • Working in close collaboration with clients to understand their problem, and turn it into a technical solution
  • Supporting the design and delivery of technical solutions from initial data exploration to development and deployment of models
  • Writing readable, reusable and tested code, and following the company’s development processes
  • Taking an active role in the wider knowledge-sharing that happens across the company and keeping yourself and your team up to date on the newest emerging tools and trends across all aspects of data science and AI

Simulation Developer

Key Responsibilities:

  • Working in close collaboration with clients to understand their problem, and turn it into a technical solution
  • Designing simulation modelling approaches, including Agent-Based models, Discrete-Event models, and System Dynamics models, and combinations of these
  • Implementing, testing, and deploying simulation models using a combination of commercial simulation software (most likely AnyLogic) and object-orientated programming
  • Writing readable, reusable, and tested code, and following the company’s development processes
  • Taking an active role in the wider knowledge-sharing that happens across the company and keeping yourself and your team up to date on the newest emerging tools and trends across simulation

Apply to join

Feel like your skills go beyond the open vacancies? Let’s talk.

We’re a team of innovators who are excited about unique ideas and help companies to create amazing solutions.

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