1,511 Data Science Consultant jobs in the United Kingdom
Data Science Consultant - London
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Data Science Consultant
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We endeavour to work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods.
Your Role
In this role you will play a key role in:
- Supporting the delivery of our AI, Data Science and Analytics projects and working closely with your colleagues, ensure Client expectations are met at all stages.
- Inspiring our clients on exploiting the potential of Gen AI, data science and analytics in their businesses through demonstrations.
- Developing and deploying new skills in the fields of AI, Data Science and Analytics, with support from your colleagues, to ensure that current methods are used where appropriate.
- Delivering work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales.
- Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery.
- As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
Learning & development – Training to support your career development and the skills demand within the company, certifications etc.
Your Profile
We’d love to meet someone with:
- Experience in working within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.
- Keen to demonstrate the potential that Gen AI has to offer to unlock business value.
- A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data.
- Currently working in a major Consulting firm, and/or in industry but having a Consulting background with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
- Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau.
What you'll love about working here:
Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle:
Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.
Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients.
Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making.
We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 5 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page
Need to know:
At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.
CSR
We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
frog - Data Science Customer Data & Technology - Consultant/Senior Consultant - London
Posted 1 day ago
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Why Join frog
Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications.
Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community—and the world at large.
An Overview Of The Role
Due to growth, we are seeking highly skilled Consultants and Senior Consultants to join frog Data.
Our ideal candidate will have knowledge and previous experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills.
What We Look For
- Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation.
- Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available)
- Build and evaluate Generative AI solutions and Large Language Models (LLMs) for various use cases.
- Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models.
- Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc.
- Hands on experience in using programming languages such as Python
- Knowledge of cloud platforms and tools for data science and machine learning.
- Utilise visualization tools such as Power BI or Tableau to present data insights effectively.
- Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
- Proven project management experience, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions.
- People management skills, including mentoring, guiding, and developing team members.
It Would Be a Bonus If You Have
- Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
- Familiarity with Agentic AI development
- Familiarity with ethical considerations and best practices in AI and data science.
- A Curious mindset and interest with the latest advancements in AI, machine learning, and data science space
Need To Know
We don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.
We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.
CSR
We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
About Capgemini Invent
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
More information is at available at:
Technical Trainer (Data Analysis)
Posted today
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Technical Trainer (Data Analysis)
Posted today
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Job Description
DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)
SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.
To be considered for this opportunity you will have the following:
- MUST HAVE DELIVERED TRAINING PREVIOUSLY
- MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
- Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
- Experience of delivering training in Data Analysis a minimum of 1 year.
- A relevant qualification in Data Analysis, ideally at degree level.
As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.
For further information on this opportunity to work with a provider who continues to grow, please apply now.
Senior Geologist - Data Analysis
Posted 12 days ago
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The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
- Analyze and interpret geological and geophysical data.
- Develop and refine 3D geological models.
- Conduct resource estimation and geological risk assessments.
- Prepare comprehensive technical reports and presentations.
- Collaborate with exploration and mining engineering teams.
- Utilize advanced geological software for data processing and visualization.
- Advise on exploration strategies and target definition.
- Ensure data quality and integrity throughout projects.
- Stay updated on the latest geological techniques and technologies.
- Contribute to the company's overall resource management strategy.
- MSc or PhD in Geology, Geophysics, or a related field.
- Significant experience in geological data analysis and modelling.
- Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
- Strong statistical analysis and quantitative skills.
- Experience in mineral resource estimation.
- Excellent written and verbal communication skills.
- Ability to work effectively in a hybrid environment.
- Strong problem-solving and critical thinking abilities.
- Familiarity with exploration and mining processes.
Graduate Trainee - Data Analysis
Posted 12 days ago
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Key Responsibilities:
- Assist in collecting, cleaning, and organising large datasets from various sources.
- Perform preliminary data analysis using statistical methods and software tools.
- Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
- Learn and apply data mining techniques to identify trends, patterns, and insights.
- Contribute to the development of data models and analytical frameworks.
- Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
- Assist in documenting data sources, methodologies, and analytical processes.
- Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Provide support for ad-hoc data requests and analysis as needed.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
- Excellent communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Proactive attitude and eagerness to learn and develop new skills.
- Eligibility to work in the UK.
- Comfortable working in a hybrid work environment.
Advanced Apprentice - Data Analysis
Posted 19 days ago
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This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
- Support the team in designing and implementing data quality checks and validation processes.
- Gain exposure to statistical modeling and predictive analytics concepts.
- Learn to use programming languages such as Python or R for data manipulation and analysis.
- Understand database concepts and SQL for data extraction.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Contribute to the continuous improvement of data processes and methodologies.
- Undertake a structured learning program leading to a recognised qualification in Data Analysis.
- A strong interest in data, analytics, and technology.
- A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
- Excellent problem-solving abilities and a keen eye for detail.
- Good communication and teamwork skills.
- A proactive attitude and a willingness to learn.
- Basic understanding of Excel or similar spreadsheet software is advantageous.
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Agronomist - Remote Data Analysis
Posted 19 days ago
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Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
Agronomist (Precision Agriculture & Data Analysis)
Posted 15 days ago
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Responsibilities:
- Develop and implement precision agriculture strategies tailored to specific farm operations.
- Collect and analyze data from various sources, including soil sensors, weather stations, drones, satellite imagery, and farm machinery.
- Utilize GIS and data visualization tools to map field variability and identify areas requiring specific treatment.
- Provide expert recommendations on crop nutrition, pest and disease management, irrigation, and soil health based on data analysis.
- Monitor crop growth and performance, identifying potential issues and recommending timely interventions.
- Evaluate the effectiveness of different agricultural inputs and practices.
- Stay current with the latest advancements in agricultural technology, data science, and agronomic research.
- Collaborate with farm managers, agronomists, and technical staff to implement recommendations and ensure successful outcomes.
- Maintain detailed records of field trials, experiments, and operational data.
- Contribute to the development of sustainable and environmentally sound farming practices.
- Train farm personnel on the use of precision agriculture technologies and data interpretation tools.
- Prepare reports and presentations on findings, recommendations, and program performance.
Qualifications:
- Bachelor's or Master's degree in Agronomy, Agricultural Science, Soil Science, Data Science, or a related field.
- Proven experience (3+ years) as an Agronomist or in a related agricultural role with a strong focus on data analysis.
- Demonstrable expertise in precision agriculture techniques and technologies (e.g., GPS guidance, variable rate application, remote sensing).
- Proficiency in using GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., R, Python, Excel with advanced functions).
- Strong understanding of soil science, crop physiology, plant pathology, and entomology.
- Experience with agricultural data management platforms and software.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex data to diverse audiences.
- Ability to work independently and as part of a team in a field-based environment.
- A valid driver's license and willingness to travel to various farm locations within the region.
- Knowledge of sustainable agriculture practices is a plus.
Remote Exploration Geologist - Data Analysis
Posted 19 days ago
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Responsibilities:
- Analyze geological, geochemical, and geophysical data to identify exploration targets.
- Develop and interpret 3D geological models and resource estimates.
- Assess the viability and potential of mineral resource projects.
- Utilize advanced geological software for data analysis and visualization.
- Collaborate remotely with cross-functional exploration teams.
- Contribute to the development of exploration strategies and budgets.
- Ensure the quality and accuracy of geological datasets and reports.
- Prepare technical reports and presentations for management.
- Stay abreast of new technologies and methodologies in mineral exploration.
- Maintain knowledge of global mining trends and commodity markets.
- MSc or PhD in Geology, Economic Geology, or a related field.
- Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Experience with geological data management systems.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills.
- Familiarity with scripting languages (Python, R) is a plus.