Data Science Consultant at Atkinsréalis in London, England, United Kingdom | Kablio

Role

Description

data governance

data visualization

decision support

requirements gathering

client engagement

data pipelines

Working with clients to integrate data best practice and governance into refined processes to support enhanced decision-making.
Applying a variety of data analysis and visualisation techniques from statistical and/or predictive modelling through to bespoke visualisation platform development.
Contributing to decision-making that will lead to successful delivery of projects.
Eliciting user requirements through client engagement.
Participating in external activities such as client engagement, conferences, and staying current with emerging technologies and trends in data science and AI.
Collaborating with teams of technical and non-technical users of various experience levels.
Handling, merging, cleaning, and modelling multi-source data so that it can be further analysed.
Developing and optimising data pipelines and workflows for efficient data processing.

Requirements

python

power bi

azure

databricks

tensorflow

gis

Communicating results through compelling visualisations and presentations.
Requirement to work at an AtkinsRéalis office or client office/site 3 days a week.
Ability to work independently and manage multiple projects simultaneously.
Proficiency in at least one programming language, preferably Python.
Relevant certifications (e.g., DP-900, AI-900, DP-100, PL-300, AI-102) are a plus.
Good organisational and analytical skills.
Strong written and verbal skills, including client-facing experience.
Experience with data visualisation principles and tools (e.g., Power BI).
Degree/Master's Degree in Mathematics, Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field.
Experience working in a consulting environment.
Experience with cloud platforms, preferably Azure, and big data technologies (e.g. Databricks).
Experience in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Experience in statistical analysis and modelling.
Experience in data science, analytics, or data consultancy roles.
Experience working with transportation data.
GIS skills are preferable.
Excellent communication and stakeholder management skills.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

may require security clearance; vetting by uksv with proof of 5 years uk residency

Company

Overview

C$12.5B

Backlog

Record backlog amid surging demand.

113 km

Bike/Ped Facilities

It has designed an extensive network of cycling and pedestrian infrastructure.

Its tech‑forward Richland Technology Center supports robotics, digital and net‑zero innovation in energy and cleanup.
A nuclear engineering pioneer, it’s the owner’s engineer for U.S. small modular reactor projects and refurbishments.
A trusted tolls and highway consultant, it supports major state DOTs.

Culture + Values

Engineering a better future for our planet and its people.
Safety: We put safety at the heart of everything we do, to safeguard people, assets and the environment.
Integrity: We do the right thing, no matter what, and are accountable for our actions.
Innovation: We redefine engineering by thinking boldly, proudly and differently.
Collaboration: We work together and embrace each other’s unique contribution to deliver amazing results for all.
Excellence: We are proud to do our best, achieve high standards, creating environments where all can thrive.

Environment + Sustainability

Net-zero by 2030

Emissions Goal

Achieved a net-zero target for operational emissions by 2030, marking a significant milestone in sustainability efforts.

87% reduction

Emissions Drop

Reduced Scope 1 & 2 emissions by ~87% compared to a 2019 baseline through strategic measures like divestment and fleet electrification.

62 score

Carbon Performance

Achieved a DitchCarbon score of 62, significantly higher than the industry average of 20, ranking in the top 1% globally.

Over 50%

Sustainable Revenue

More than half of 2022 revenue came from sustainable projects, including clean energy, water sanitation, and mass transit initiatives.

Achieved PAS 2080:2023 certification for whole‑life carbon management in infrastructure.
2022 emissions breakdown: Scope 1 (6,845 tCO₂e), Scope 2 (4,251 tCO₂e), Scope 3 (33,381 tCO₂e); Scope 1‒2 intensity at 0.3 tCO₂e/FTE.

Inclusion & Diversity

No Data Available

Gender Ratio Disclosed?

The company does not publicly share specific numerical data regarding gender ratios or other diversity metrics.

Corporate statement describes an 'inclusive, diverse and energized approach' and 'open culture' founded on core values.
Asia region emphasises sense of belonging, mutual respect, personal touch, interest groups and support for work–life balance.
Culture of learning highlighted through technical Lunch & Learn, case‑study sharing and virtual webinars with global mobility experiences.

Articles

Graduates FAQ – careers

AtkinsRéalis sponsorship – IBTTA

Reddit – interning at AtkinsRealis tips

Role

Description

data governance

data visualization

decision support

requirements gathering

client engagement

data pipelines

Working with clients to integrate data best practice and governance into refined processes to support enhanced decision-making.
Applying a variety of data analysis and visualisation techniques from statistical and/or predictive modelling through to bespoke visualisation platform development.
Contributing to decision-making that will lead to successful delivery of projects.
Eliciting user requirements through client engagement.
Participating in external activities such as client engagement, conferences, and staying current with emerging technologies and trends in data science and AI.
Collaborating with teams of technical and non-technical users of various experience levels.
Handling, merging, cleaning, and modelling multi-source data so that it can be further analysed.
Developing and optimising data pipelines and workflows for efficient data processing.

Requirements

python

power bi

azure

databricks

tensorflow

gis

Communicating results through compelling visualisations and presentations.
Requirement to work at an AtkinsRéalis office or client office/site 3 days a week.
Ability to work independently and manage multiple projects simultaneously.
Proficiency in at least one programming language, preferably Python.
Relevant certifications (e.g., DP-900, AI-900, DP-100, PL-300, AI-102) are a plus.
Good organisational and analytical skills.
Strong written and verbal skills, including client-facing experience.
Experience with data visualisation principles and tools (e.g., Power BI).
Degree/Master's Degree in Mathematics, Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field.
Experience working in a consulting environment.
Experience with cloud platforms, preferably Azure, and big data technologies (e.g. Databricks).
Experience in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Experience in statistical analysis and modelling.
Experience in data science, analytics, or data consultancy roles.
Experience working with transportation data.
GIS skills are preferable.
Excellent communication and stakeholder management skills.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

may require security clearance; vetting by uksv with proof of 5 years uk residency

Company

Overview

C$12.5B

Backlog

Record backlog amid surging demand.

113 km

Bike/Ped Facilities

It has designed an extensive network of cycling and pedestrian infrastructure.

Its tech‑forward Richland Technology Center supports robotics, digital and net‑zero innovation in energy and cleanup.
A nuclear engineering pioneer, it’s the owner’s engineer for U.S. small modular reactor projects and refurbishments.
A trusted tolls and highway consultant, it supports major state DOTs.

Culture + Values

Engineering a better future for our planet and its people.
Safety: We put safety at the heart of everything we do, to safeguard people, assets and the environment.
Integrity: We do the right thing, no matter what, and are accountable for our actions.
Innovation: We redefine engineering by thinking boldly, proudly and differently.
Collaboration: We work together and embrace each other’s unique contribution to deliver amazing results for all.
Excellence: We are proud to do our best, achieve high standards, creating environments where all can thrive.

Environment + Sustainability

Net-zero by 2030

Emissions Goal

Achieved a net-zero target for operational emissions by 2030, marking a significant milestone in sustainability efforts.

87% reduction

Emissions Drop

Reduced Scope 1 & 2 emissions by ~87% compared to a 2019 baseline through strategic measures like divestment and fleet electrification.

62 score

Carbon Performance

Achieved a DitchCarbon score of 62, significantly higher than the industry average of 20, ranking in the top 1% globally.

Over 50%

Sustainable Revenue

More than half of 2022 revenue came from sustainable projects, including clean energy, water sanitation, and mass transit initiatives.

Achieved PAS 2080:2023 certification for whole‑life carbon management in infrastructure.
2022 emissions breakdown: Scope 1 (6,845 tCO₂e), Scope 2 (4,251 tCO₂e), Scope 3 (33,381 tCO₂e); Scope 1‒2 intensity at 0.3 tCO₂e/FTE.

Inclusion & Diversity

No Data Available

Gender Ratio Disclosed?

The company does not publicly share specific numerical data regarding gender ratios or other diversity metrics.

Corporate statement describes an 'inclusive, diverse and energized approach' and 'open culture' founded on core values.
Asia region emphasises sense of belonging, mutual respect, personal touch, interest groups and support for work–life balance.
Culture of learning highlighted through technical Lunch & Learn, case‑study sharing and virtual webinars with global mobility experiences.

Articles

Graduates FAQ – careers

AtkinsRéalis sponsorship – IBTTA

Reddit – interning at AtkinsRealis tips