Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your role:

This position sits within Centrica’s Data Science team, a group dedicated to measuring and improving the effectiveness of our business strategies. We’re looking for a highly analytical and detail-driven Econometrics Manager with strong hands-on experience in Marketing Mix Modelling (MMM) and modern data science techniques to support our growing analytics function.

In this role, you’ll build robust, fit-for-purpose models and translate complex analysis into clear, actionable recommendations for senior stakeholders. You’ll work across a wide range of commercial areas and collaborate closely with colleagues in finance, marketing, commercial teams, and data science. The work is varied, high-visibility, and central to shaping strategic decision-making across the business.

Location: Windsor & London UK, Hybrid Working (circa 2 days per week in the office).

Responsibilities of the role:

• Partner with the econometrics team to build, refine, and maintain a suite of econometric and MMM models for British Gas and Hive, translating model outputs into clear, actionable insights that drive commercial value.
• Analyse large and complex datasets to quantify the impact of marketing investment on key outcomes such as customer acquisition, retention, and engagement.
• Apply a range of data science techniques - including regression, machine learning, and time-series modelling - to generate insights and support predictive and prescriptive analytics.
• Manage, clean, and integrate datasets from multiple internal and external sources, ensuring high standards of data quality and integrity.
• Communicate findings through concise, compelling presentations and documentation, crafting a clear narrative that aligns with the evidence.
• Work closely with stakeholders across the business to scale and enhance media mix models using advanced statistical and machine-learning approaches.

Here’s what we’re looking for:

• Proven experience in Big Data analysis, econometrics, statistics, and Marketing Mix Modelling within a professional environment.
• Strong understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance.
• Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn).
• High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word.
• Exceptional attention to detail and a commitment to analytical rigour.
• Ability to manage multiple projects simultaneously and prioritise effectively.
• Confident, professional communication skills, with the ability to engage stakeholders at all levels.

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centrica

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Trainee AI Engineer – No Experience Needed

Future-proof your career in Artificial Intelligence – starting today.

Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.

Train online at your own pace and land your first AI Engineer role in 1-3 months.

Please note this is a training course and fees apply

Job guaranteed - complete the programme and get a job or get your money back.

Our candidates earn £30,000-£45,000.

Why AI?

AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.

The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.

How It Works

Step 1 – AI Engineering Fundamentals
Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

Step 2 – Data Fundamentals
Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.

Step 3 – Notebooks & IDEs
Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.

Step 4 – Python Programming
Master Python, covering everything from the basics to object-oriented programming (OOP).

Step 5 – Python Streamlit Project
Apply your Python skills by building a car price prediction app using Python and Streamlit.

Step 6 – Python for Data
Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

Step 7 – AI Sentiment Analysis Project
Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.

Step 8 – AI Prompt Engineering
Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.

Step 9 – Retrieval-Augmented Generation (RAG)
Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.

Step 10 – AI Specialised Customer Service Chatbot Project
Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.

Step 11 – Machine Learning Fundamentals
Understand machine learning principles and algorithms, and how to train and test models using scikit-learn.

Step 12 – Machine Learning Project
Put your machine learning knowledge into practice with a hands-on project.

Step 13 – AI & Data Ethics
Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.

Step 14 – Oral Exam
Complete a virtual oral exam to assess your understanding and ability to apply your learning.

Step 15 – AWS Certified Cloud Practitioner
Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.

What You Get

· 100% online, self-paced training

· Microsoft AI-900 certification included

· 1-to-1 tutor and recruitment support

· Real-world project experience

· Job guarantee – get a job or your money back

· Starting salary of £30,000–£45,000

We Get You Hired!

We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.

Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.

We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.

“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London

Ready to Start?

If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.

Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Senior Data Scientist - Customer Data Salary: £70,000 - £85,000 (DoE) Location: Hybrid - 2/3 days per week in a Central London office Job Reference: J13015 Full UK working rights required - no sponsorship available Immediate requirement - strong leadership and senior stakeholder skills We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on. This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity. The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing. While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives. ________________________________________ The Role • Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director. • Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact. • Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight. • Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value. • Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation. • Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals. • Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions. • Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels. _______________________________________ Skills & Experience • Strong, hands-on experience in machine learning and applied data science within customer or commercial domains. • Experience with recommender systems, personalisation, or deep learning is desirable but not essential. • Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. • Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. • Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines. • Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams. • Excellent communication, leadership, and stakeholder management skills. • Experience operating in a global or multi-regional environment is a plus. ________________________________________ If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes. For each relevant candidate you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in analytics and host of the critically acclaimed Women in Data event. For more information, visit (url removed)

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week. We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications. If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you! We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation. To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure MLOps: Model versioning, monitoring, logging Bias Detection & Mitigation Content Filtering & Moderation Explainability & Transparency LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers Azure Cloud Experience Collaboration & Delivery Cross-functional Collaboration: Working with software engineers, DevOps, and product teams Rapid Prototyping: Building and deploying MVPs Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment Prompt Engineering: Designing and optimising prompts for LLMs across use cases Model Evaluation & Monitoring Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction Monitoring in Production: Drift detection, performance degradation, logging outputs Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards A/B Testing: Experience evaluating GenAI features in production environments Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Trainee AI Engineer – No Experience Needed

Future-proof your career in Artificial Intelligence – starting today.

Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.

Train online at your own pace and land your first AI Engineer role in 1-3 months.

Please note this is a training course and fees apply

Job guaranteed - complete the programme and get a job or get your money back.

Our candidates earn £28,000-£45,000.

Why AI?

AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.

The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.

How It Works

Step 1 – AI Engineering Fundamentals

Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

Step 2 – Data Fundamentals

Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.

Step 3 – Notebooks & IDEs

Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.

Step 4 – Python Programming

Master Python, covering everything from the basics to object-oriented programming (OOP).

Step 5 – Python Streamlit Project

Apply your Python skills by building a car price prediction app using Python and Streamlit.

Step 6 – Python for Data

Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

Step 7 – AI Sentiment Analysis Project

Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.

Step 8 – AI Prompt Engineering

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.

Step 9 – Retrieval-Augmented Generation (RAG)

Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.

Step 10 – AI Specialised Customer Service Chatbot Project

Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.

Step 11 – Machine Learning Fundamentals

Understand machine learning principles and algorithms, and how to train and test models using scikit-learn.

Step 12 – Machine Learning Project

Put your machine learning knowledge into practice with a hands-on project.

Step 13 – AI & Data Ethics

Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.

Step 14 – Oral Exam

Complete a virtual oral exam to assess your understanding and ability to apply your learning.

Step 15 – AWS Certified Cloud Practitioner

Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.

What You Get

· 100% online, self-paced training

· Microsoft AI-900 certification included

· 1-to-1 tutor and recruitment support

· Real-world project experience

· Job guarantee – get a job or your money back

· Starting salary of £28,000–£45,000

We Get You Hired

We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.

Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.

We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.

“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London

Ready to Start?

If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.

Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience Needed

Future-proof your career in Artificial Intelligence – starting today.

Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.

Train online at your own pace and land your first AI Engineer role in 1-3 months.

Please note this is a training course and fees apply

Job guaranteed - complete the programme and get a job or get your money back.

Our candidates earn £28,000-£45,000.

Why AI?

AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.

The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.

How It Works

Step 1 – AI Engineering Fundamentals

Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

Step 2 – Data Fundamentals

Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.

Step 3 – Notebooks & IDEs

Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.

Step 4 – Python Programming

Master Python, covering everything from the basics to object-oriented programming (OOP).

Step 5 – Python Streamlit Project

Apply your Python skills by building a car price prediction app using Python and Streamlit.

Step 6 – Python for Data

Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

Step 7 – AI Sentiment Analysis Project

Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.

Step 8 – AI Prompt Engineering

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.

Step 9 – Retrieval-Augmented Generation (RAG)

Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.

Step 10 – AI Specialised Customer Service Chatbot Project

Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.

Step 11 – Machine Learning Fundamentals

Understand machine learning principles and algorithms, and how to train and test models using scikit-learn.

Step 12 – Machine Learning Project

Put your machine learning knowledge into practice with a hands-on project.

Step 13 – AI & Data Ethics

Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.

Step 14 – Oral Exam

Complete a virtual oral exam to assess your understanding and ability to apply your learning.

Step 15 – AWS Certified Cloud Practitioner

Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.

What You Get

· 100% online, self-paced training

· Microsoft AI-900 certification included

· 1-to-1 tutor and recruitment support

· Real-world project experience

· Job guarantee – get a job or your money back

· Starting salary of £28,000–£45,000

We Get You Hired

We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.

Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.

We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.

“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London

Ready to Start?

If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.

Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your role:

This is a high-impact, highly technical role for a capital analyst or data scientist who wants to go far beyond regulatory calculation. You’ll use modelling, automation, and analytics to shape real commercial and underwriting decisions across Centrica Home.

You’ll expand how the capital model is used across the business, automate trusted end-to-end workflows, build intuitive interactive dashboards (Python/pandas, Streamlit/Plotly), detect performance trends early, and translate insights into clear underwriting actions. You’ll also design repeatable AI-enabled competitor monitoring, turning complex signals into crisp, actionable recommendations for senior leaders, with impact at scale across ~10 million customers.

Responsibilities of the role:

Capital model development & use-case expansion

• Enhance and evolve the capital model.
• Proactively identify new business use cases for capital outputs and embed them across the organisation.
• Bring stakeholders with you, improving decision quality and model adoption.

Automation & trusted workflows

• Streamline and automate core processes - data ingestion, validation, run logging, results storage.
• Ensure outputs are reliable, reproducible, and ready for decision-making at pace.

Underwriting performance & actionable insight

• Monitor underwriting performance and emerging trends (profitability, loss ratio drivers, etc.).
• Drive recommendations that influence pricing and underwriting decisions.
• Prioritise early trend detection over retrospective explanation.

Best-in-class dashboards & visualisation

• Build and own clear, interactive dashboards and “what-if” tools.
• Make capital and underwriting insights easy to explore and hard to misinterpret using tools such as Plotly, Streamlit, or similar.

Competitor & market intelligence (AI + analytics)

• Develop repeatable, AI-powered monitoring of competitor propositions, service levels, and customer sentiment (where appropriate).
• Deliver concise “what changed / so what / now what” updates that inform commercial and underwriting strategy.

Here’s what we’re looking for:

• Capital modelling experience, ideally within insurance, with a track record of turning capital outputs into business decisions.
• Strong understanding of underwriting performance, including how to investigate movements and recommend actions.
• Excellent communication and persuasion skills, able to present clearly to senior stakeholders, handle challenge, and land decisions with a structured narrative.
• Advanced dashboarding and visualisation capability, creating tools that make complex information simple, intuitive, and actionable.
• Strong Python skills (pandas, Streamlit, automation mindset) - using technology to make insight faster, clearer, and more scalable.
• Bonus skills: SQL (SQLite/Postgres), practical LLM workflows with evaluation/guardrails, competitor intelligence experience.

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centrica

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Front End React Developer!

Are you ready to dive into the exciting world of insurance technology? We are on the lookout for a passionate and proactive Junior Front End React Developer to become a vital part of our clients London based team!

The Role:
In this pivotal position, you will focus on designing and implementing new front-end technology for their automation platform while also assisting with backend implementations. This is your chance to shine and create innovative solutions to complex challenges!

What Will You Be Doing?

Develop and maintain front-end components of their workflow automation platform using cutting-edge web technologies.
Collaborate closely with the team to enhance Python back-end functionality, ensuring a seamless user experience.
Assist in designing, implementing, and testing new features.
Participate in code reviews and contribute to best practises for software development.
Troubleshoot and resolve issues for optimal performance and user satisfaction.
Work alongside modellers and analysts to translate their needs into technical solutions.
Present your innovative solutions confidently to key stakeholders.

We’re Looking For Someone Who Has:

Proficiency in front-end technologies (e.g., JavaScript, React).
Strong skills in Python (Pandas, APIs, etc.).
Experience with version control systems, preferably Git.
Understanding of cloud services and deployment (e.g., Azure).
Familiarity with Agile development practises.
An entrepreneurial mindset!

The package:

Competitive Salary: 45,000 - 55,000 per annum.
Flexible Working: Enjoy the benefits of hybrid working but you will need be in the office 3 days a week in central london
Health Benefits: Comprehensive health insurance for you and your family.
Wellness Perks: Gym membership, wellbeing support, and a bike-to-work scheme.
Financial Benefits: Pension contribution matching, employee discounts, and a season ticket loan.
Growth Opportunities: Paid training and development to help you grow in your career!
Your Journey Starts Here!
If you’re excited about this opportunity and think you have what it takes, don’t hesitate to apply!

Join us, and be a part of shaping the future of reinsurance! Your adventure awaits!

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

£45,000 - £65,000 GBP
£7,000 DV Bonus
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Role: Senior Data Scientist

Area: National Security Projects

Location: London (Hybrid) - 3 days per week

Security: Eligibility for Developed Vetting Clearance with the UK Government

Salary: Up to £65k + £7k annual DV bonus (once obtained)

About the Role:

This is a unique opportunity to apply advanced data science in the national security domain. You’ll work with highly sensitive, complex datasets that you won’t find anywhere else, solving problems that have a direct impact on UK security. Expect variety: one day you’ll be scoping new AI projects with stakeholders, the next you’ll be building models for text, image, or geospatial data, and later presenting findings to senior decision-makers.

You’ll influence strategy, mentor junior colleagues, and help shape how AI is adopted across critical missions. If you want to combine technical depth with meaningful impact, this is the role for you.

What You’ll Do:

• Lead data science projects from scoping to deployment
• Apply ML and statistical methods across varied data types
• Collaborate with ML engineers to productionise models
• Communicate insights to technical and non-technical stakeholders
• Mentor junior team members

Skillset:

• Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy)
• Experience with AWS cloud services (SageMaker, Lambda, S3)
• Familiarity with MLOps tools (MLflow, Weights & Biases)
• Knowledge of NLP, computer vision, or time-series analysis
• Ability to design experiments and apply statistical validation
• Understanding of Responsible AI principles and model explainability

Ready to take your data science expertise to the next level and make a real-world difference? Apply today.

Reference: AMC/JWH/DSLB1

#jawh

£45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Senior Data Scientist Area : National Security Projects Location: London (Hybrid) - 3 days per week Security : Eligibility for Developed Vetting Clearance with the UK Government Salary: Up to £65k + £7k annual DV bonus (once obtained) About the Role: This is a unique opportunity to apply advanced data science in the national security domain. You’ll work with highly sensitive, complex dataset s that you won’t find anywhere else, solving problems that have a direct impact on UK security. Expect variety: one day you’ll be scoping new AI projects with stakeholders, the next you’ll be building models for text, image, or geospatial data, and later presenting findings to senior decision-makers. You’ll influence strategy, mentor junior colleagues, and help shape how AI is adopted across critical missions. If you want to combine technical depth with meaningful impact, this is the role for you. What You’ll Do: Lead data science projects from scoping to deployment Apply ML and statistical methods across varied data types Collaborate with ML engineers to productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles and model explainability Ready to take your data science expertise to the next level and make a real-world difference? Apply today. Reference: AMC/JWH/DSLB1 #jawh TPBN1_UKTJ

I am currently working with a London-based Commodities client who are actively seeking a Senior Java Developer to work on the development of a business-critical pre-trade platform.

What you’ll need to succeed:

• Extensive Java development experience within investment banking or commodities - must have.
• Extensive Kafka experience.
• Working knowledge of Python frameworks, e.g. Django, Flask, Pandas etc.
• Strong experience with data streaming standards and design patterns.
• Good knowledge of Microsoft’s development stack.

What you’ll get in return:

• Up to 925pd depending on experience.
• Initial 6-month contract with extensions.
• London-based hybrid working.

What you need to do now:
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at (url removed)