Data Scientist

Join Equans, a leading energies and services contractor and a proud member of the global industrial group, Bouygues. With a rich history of excellence in designing, constructing, and maintaining buildings and critical infrastructure worldwide, we are now offering an exciting opportunity for a Data Scientist on a 12 month fixed term basis within our Digital & Energy Services central functions team. This role will be based out of our Central London office but on a hybrid basis.

Role overview

We are looking for a hands-on Data Scientist to join our Digital & Energy Services (DES) team. In this role, you will be actively involved in building data products, performing analysis, and developing models that directly support business operations and performance across the division. This role will be Fixed term to Perm after the fixed term has ended.

This is a technical, delivery-focused position ideal for someone who enjoys solving practical problems with data, working directly with stakeholders, and getting involved in all stages of the data lifecyclefrom collection and cleaning to analysis, modelling, and reporting.

Key activities

Data Analysis & Modelling

Build and deploy machine learning models and statistical tools to support forecasting, operational performance, and productivity analysis.

Perform data analysis to uncover trends, patterns, and opportunities for improvement.
Run A/B tests and design experiments to evaluate the outcomes of business initiatives.

Data Preparation & Engineering

Collect and clean data from various sources such as databases, files, APIs, and CAFM systems.

Prepare datasets for analysis and modelling using Python, SQL, or similar tools.
Work closely with data engineers to troubleshoot issues and support the development of automated data pipelines.

Business Intelligence & Reporting

Create, maintain and develop reports and dashboards using Power BI, Palantir, or similar tools.

Convert analytical results into clear visuals and summaries for stakeholders.
Provide regular data updates and ad hoc reports to support business needs.

Collaboration & Continuous Improvement

Work closely with teams in operations, SHEQ, finance, and digital to understand their data needs and deliver insights.

Stay current with new tools, techniques, and trends in data science and analytics.
Suggest improvements to existing workflows, models, and reporting frameworks.

Skills, qualifications & experience

Bachelors degree in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics).

Solid experience covering Data Science, Machine Learning, or advanced analytics role.
Proficiency in Python and/or R for statistical modelling and machine learning.
Strong knowledge of SQL for querying and managing large datasets.
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or similar.
Solid foundation in statistical modelling, hypothesis testing, and experimental design.
Ability to communicate technical findings clearly and effectively to non-technical audiences.

What can we offer you? 

On offer is a competitive salary and benefits package, which includes; 

25 days annual leave(+ public holidays) 

5% bonus
Private health care (Single Use)
Private GP consultations
Life Cover equivalent to 2 timesannual salary  Employee discount shopping schemes on major brands and retailers 
Gym membership discounts 
Cycle to work scheme 
Holiday purchase scheme 
2 corporate social responsibility days per year  Broad range of learning opportunities, such as professional qualifications, collective/individual training, and personalized support programmes 
Attractive Employee Referral Rewards Scheme 
Access to our growing employee networks including WiE (Women in EQUANS), RISE (BAME), LGBTQI+, Working Parents, YPN (Young Persons Network) and our Disability Network 
24/7 Employee Assistance Program and access to mental wellbeing app 

Who are we? 

EQUANSis a world leader in energy services with nearly , employees working in more than 50 countries, with an annual turnover of over 17 billion euros.

In the UK & Ireland, EQUANS is a provider of technical, FM, regeneration and energy services with specialist capabilities in smart buildings, green mobility, district & embedded energy and decentralised renewables. 

EQUANS 13, UK & Ireland employees combine these activities to help businesses, public sector organisations and government to embrace the energy transition towards net zero, and also the digital & industrial transitions that are redesigning the way we move, work and live. 

EQUANS is a Bouygues group company.

What's next? 

If this role is of interest to you, please click below to register, apply, and track your progress! A member of our Resourcing Team will review your application and be in touch. 

As part of a positive action drive to address under-representation in senior management positions we encourage applications from women, ethnically diverse individuals and people with disabilities, along with all candidates who identify with protected characteristic groups under the Equality Act .

In support of our positive action measures, we will consider applications that do not meet all the technical requirements if candidates can demonstrate how transferable skills will enable them to successfully deliver the remit of the role in an environment which promotes a flexible working culture.

At Equans we're committed to delivering a culture where everyone's voice is heard and supported. We know the value a diverse workforce creates, delivering better results for our people, customers, and stakeholders. Diversity and inclusion is at the core of what we do, should you join Equans you'll find a welcoming and open workplace where you're supported and encouraged to be your true self at work. You'll also have access to our growing employee networks including AccessAbility (representing those with physical and mental disabilities), Encompass (representing the LGBTQ+ community), RISE (representing people from ethnic backgrounds), Veterans & Reservists, WOMEN TOGETHER (representing women in Equans), Working Parents, and Young Professionals.