Find your next tech and IT Job or contract Data Scientist

The "Data Scientist" is the Big Data specialist in companies, responsible for structuring information and optimizing the security of stored data, regardless of their volume. Their mission: carefully categorize data to avoid risks of IT system failure. They thus seek to detect new vulnerabilities potentially exploitable by hackers and their impact on company activities. Ultimately, they ensure to propose effective protection solutions. This expert in massive data management and analysis is simultaneously a specialist in numbers, statistics, and computer programs: they extract value from data to support the company in making strategic or operational decisions. The "Data Scientist" collaborates transversally with various profiles: computer scientists, statisticians, data analysts, data miners, marketing and web marketing experts...

Your search returns 4 results.
Permanent

Job Vacancy
Data Scientist

CGI
Published on

United Kingdom
Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment.
Fixed term

Job Vacancy
Data Scientist/Engineer

LA International Computer Consultants Ltd
Published on

6 months
Stantonbury, England, United Kingdom
Our client is looking for a Data Scientist/Engineer to work on an initial 6 month Outside IR35 contract. This would be a fully onsite position in Milton Keynes with the potential of hybrid working in the future. Candidates would require an SC Clearance and be prepared to go through a DV Clearance. Key Qualifications * Must have proficient skills working on Large Language Models (LLMs). * Proficiency in evaluating, deploying and using on premise open source technology stacks. * Proficiency in Azure Cognitive Services, which includes Azure Language Service, Azure Text Analytics, Azure Speech Service, and other AI-related offerings. * A good understanding of OpenAI's GPT models and how it integrates with Azure services. This includes knowledge of GPT's capabilities, limitations, and available features. * Strong programming skills in Python for working with Azure services and data manipulation. * Good understanding of databases e.g. Postgres * Proficient knowledge of back-end programming languages like NodeJS, Python and/or Golang * Proficient knowledge on one of front-end technologies like React or Angular * Hands on technical Skills related to Backend development. * Experience with AWS and GCP is an added advantage. * Demonstrated Cluster Management knowledge and experience using platforms including - Kubernetes, Rancher, Helm, Docker * Familiarity with Figma for UI Mockups * Cloud certification at a developer or equivalent level is an added advantage. * Azure AI Certification or equivalent is an added advantage. * Familiarity with Data engineering and Machine learning models * Excellent written and verbal communication skills, flexible and good attitude * Experience working with open-source projects, third-party libraries, SDKs and APIs Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
Permanent

Job Vacancy
Data Engineers

CGI
Published on

Gloucester, England, United Kingdom
As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality
Contractor

Contractor job
AI Project Manager - Freelance Assignement

Ahead Digital
Published on
Informatica

9 months
€500-700
Brussels, Brussels-Capital, Belgium
Ahead Digital, an agency specialising in digital strategy based in Brussels and Paris, is looking for an AI Project Manager for a position to be filled as soon as possible! As part of an assignment carried out at one of our clients in Brussels, you will strengthen the Data team, to identify business opportunities where AI can bring value to our client’ sector, in collaboration with domain experts. This freelance assignment will start at the end of March and continue until the end of 2026, and will take place in central brussel. We are looking for a AI Project Manager to lead high-impact, innovative projects. Mission On a daily basis you : Identify business opportunities where AI can bring value to our client sector, in collaboration with domain experts; Monitor technological developments in AI and translate them into concrete solutions; Challenge proposed solutions, test products, and actively contribute to their improvement; Develop action plans, manage timelines, identify risks, and implement mitigation strategies; Detect project blockers and risks, resolve them directly or escalate appropriately; Ensure project follow-up and communicate progress clearly and appropriately to different audiences — C-level profiles, architects, technical experts (network, infrastructure, development, data), and business partners; Collaborate with a wide range of stakeholders: legal experts, analysts, IT specialists, developers, data scientists, BI analysts, and more.

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Frequently asked questions about working as a Data Scientist

What is the role of a Data Scientist

In the Big Data era, the Data Scientist is somewhat the evolution of the Data Analyst. He/she is a specialist in analyzing and exploiting data within a company. His/her role is to give meaning to this data, in order to extract value from it, to enable the company to make strategic and/or operational decisions. It is one of the high-responsibility positions in a company.

How much does a Data Scientist charge

The average daily rate of a freelance data scientist is around £450/day. It can vary depending on years of experience and the professional's geographical location. The salary of a junior data analyst is £35K. The salary of an experienced data scientist ranges from £50K to £60K.

What is the definition of a Data Scientist

The Data Scientist is an essential element of the company, given that they are responsible for analyzing massive data called Big Data. They manage the collection, storage, analysis and use of millions of data points collected through different channels. This data is used to analyze company performance, and to anticipate consumer behaviors or new trends. It's both an exciting and promising field. It generates new challenges and allows professionals to continuously gain skills. The Data Scientist has solid knowledge in marketing. This professional is highly sought after by companies that constantly seek to improve their performance and remain competitive. After completing their analysis, the Data Scientist will then write a report explaining their conclusions to management or their client.

What type of mission can a Data Scientist handle

The Data Scientist's main mission is to "predict the future". The significant amount of data that companies now generate can be very useful if used properly. The data scientist can then ensure the strategic development of the company, as well as its digital transformation. To achieve this, they must decipher opaque masses of data to give them meaning. Their role is therefore to transform data into actionable information. They can offer their clients IT management solutions to meet specific needs. Creating algorithms will allow them to anticipate future behaviors and needs in order to guide important decisions. It is this form of creativity that distinguishes them from the Data Analyst. Thanks to their expertise, the Data Scientist must be able to present innovative and relevant proposals to their clients, implement and deploy machine learning models, and finally communicate their conclusions to the relevant departments. They can work on short or medium-term projects.

What are the main skills of a Data Scientist

The Data Scientist must master many skills to effectively carry out their duties. We can mention a few: • Being able to efficiently analyze statistical data and model it • Having good knowledge of programming tools and computer language • Mastering data visualization techniques • Having strong affinities for marketing • Having business sense and good communication skills • Being rigorous, organized, with the ability to make proposals • Being able to maintain data confidentiality • Knowing how to work in a team, under pressure and manage stress • Conducting IT monitoring

What is the ideal profile for a Data Scientist

Many schools are beginning to offer degrees in mathematics and applications with specialization in statistics, Big Data engineering, or massive data analysis. There are also other training programs that provide access to the Data Scientist profession, particularly in higher education schools for computer science, statistics, or engineering schools. However, it will still be necessary to demonstrate 4 to 5 years of experience in data analysis or in a datacenter environment.
4 results

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Contractor Permanent

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£150 £1300 and more

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£20k £250k

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0-2 years experience 3 to 5 years experience 6 to 10 years experience +10 years experience

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