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Data Scientist Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career as a Data Scientist.\n\nWe are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:\n\nStep 1 - Full Data Science Career Training\n\nYou will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.\n\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\n\nAt the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.\n\nStep 2 - CompTIA Data+\n\nCompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.\n\nStep 3 - Official Exam\n\nThe CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.\n\nStep 4 - Practical Projects\n\nNow that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned.\n\nWhilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.\n\nYour Data Science Role\n\nOnce you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.\n\nAt a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nRead through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent £100k-£150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability. This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value. What You'll Be Doing • Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business., • Defining technical standards, best practices and governance for Data Science and MLOps., • Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams., • Building, mentoring and developing a high-performing Data Science team., • Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control., • Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment., • Acting as a senior technical authority and thought leader in advanced analytics and AI., • Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments., • Strong Python and SQL skills, with experience developing production-grade analytical solutions., • Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake)., • Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow)., • Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases)., • Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring).

Are you ready to apply data science where it matters most?. A leading UK consultancy is building a dedicated AI & Data Science team to strengthen its delivery capability in Defence. Python, MLflow, Databricks, Docker, Azure OpenAI, simulation frameworks.

We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. Data Scientist - Brand Uplift/Marketing. Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights.

Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist and Senior Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: • Comfortable in a client-facing role with the ambition to lead teams, • Likes to distill complex results or processes into simple, clear visualizations, • Explain sophisticated data science concepts in an understandable manner, • Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience), • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data, • Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients, • Have strong project management skills, • Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master) What You'll Bring • *TECHNOLOGIES: * Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. (Click here )( for more information on E-Verify.

Were looking for a Data Engineer with strong MLOps ownershipsomeone who builds reliable data pipelines. You wont be training models day-to-day like a Data Scientist; instead, youll xwzovoh enable Data Science by delivering high-quality datasets, reproducible training pipelines, robust depl.

Hiring: Data Scientist – Contract (Inside IR35) Location: Waterside, UK Role Type: Contract Role Title: Data Scientist Role Overview We are looking for a Data Scientist to join a full-stack product squad delivering operations decision-support software. This role focuses on building industrialised optimisation and machine learning models, working end-to-end from problem definition to production deployment. You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions. Key Responsibilities • Develop data pipelines, machine learning, and optimisation models in Python, • Build and industrialise ML/optimisation algorithms using best-practice software engineering principles, • Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster), • Integrate ML/optimisation models into full product stacks (data ingestion, UI, orchestration), • Deploy solutions using CI/CD in a cloud environment, • Build robust logging, testing (unit/regression), and error-handling frameworks, • Analyse adoption, performance, and business value of deployed models, • Engage with business stakeholders to gather requirements and feedback, • Contribute to Agile squad ways of working, code reviews, and technical documentation Required Skills & Experience • Strong knowledge of machine learning and/or optimisation techniques, • (Regression, Tree methods, Clustering, Linear / Mixed-Integer Programming, Heuristics), • Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries), • Experience building production-ready ML or optimisation solutions, • Solid understanding of CI/CD, Git version control, and cloud platforms (AWS preferred), • Strong data engineering skills in Python and SQL, • Experience with automated testing (unit, integration, end-to-end), • Ability to communicate complex technical concepts to non-technical stakeholders Nice to Have • Experience with MLflow, DVC, SageMaker, • Workflow orchestration tools (Dagster / Airflow), • Containerisation (Docker, ECS), • Domain experience in transportation, airlines, operations, or network optimisation Qualifications • Master’s degree in Data Science, ML, Operational Research OR, • 2+ years of highly relevant industry experience, • 0–2 years experience working on production ML/optimisation products at scale

Do you want to build AI and data science solutions that directly influence high-value business decisions? Have you taken models from exploration through to production in real environments? Are you ready to work in a small, high-impact team with real ownership and autonomy? This organisation is a global investment firm operating at the intersection of technology, data, and decision-making. They have built an internal data and technology function to support deal sourcing, due diligence, and portfolio insights, using modern data science and emerging LLM/NLP techniques. The team works closely with senior stakeholders and operates like a lean product and research group within a fast-paced commercial environment. They are hiring a Data Scientist (2+ years of experience) to join their London team. This role offers exposure across research, production deployment, and short-form analytical projects, with genuine end-to-end ownership rather than narrow modelling work. Role summary You will work as a generalist Data Scientist, combining strong classical data science foundations with solid Python engineering and familiarity with modern ML/LLM tooling. The role is hands-on and delivery-focused, with opportunities to ship work into production and iterate quickly. Key responsibilities • Build and prototype data science and NLP/LLM solutions, • Take models from exploration to production deployment, • Work across multiple projects supporting commercial decision-making, • Collaborate closely with engineers and non-technical stakeholders, • Maintain high coding standards and clear technical communication Key details • Salary: £60,000–£65,000 base + 10% bonus, • Location: Central London (Bond Street), • Working model: 4 days per week in the office (Mon–Thu), • Tech stack: Python, classical DS, cloud (GCP preferred; AWS/Azure acceptable), LLM/NLP tooling, • Visa sponsorship: Not available Interested? Please apply below.

A UK-based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: • Python, • PyTorch or TensorFlow, • scikit-learn, • Spark, • Kafka, • Databricks, • LangChain and RAG-based GenAI systems, • Cloud-native Azure environment Important Details: • Fully remote across the UK, • Up to £80,000 - £100,000 (DOE), • 2-3 stage interview process, • No sponsorship available Interested, or know someone who would be? Click apply or get in touch directly on

Do you want to build data science solutions that improve lives, not clicks? Would you thrive working directly with healthcare and public sector clients on the front lines of care delivery? Are you looking for impact-led projects where you own delivery end-to-end? A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors. Known for embedding hands-on technical teams with clients, they specialise in delivering real-world impact across complex, regulated environments. With a strong consulting culture and growing AI footprint, they’re tackling meaningful public health challenges using ML, NLP and simulation. Expect high visibility, autonomy, and the opportunity to shape an expanding capability. You’ll work with public health & social care stakeholders to solve critical challenges — from fall prevention using clinical data to streamlining patient care pathways. The role combines technical depth with consulting breadth, requiring both hands-on ML work and the ability to influence delivery at scale. They’re hiring at Lead (3–5 years’ experience) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML and NLP models for public health and social care, • Work with structured data, clinical notes and unstructured healthcare datasets, • Partner with client teams to define, iterate, and deliver data-driven solutions, • Lead multidisciplinary delivery teams and translate insights into real-world KPIs Key Details • Salary: £80,000 – £150,000, • Working model: On-site 3+ days/week with UK healthcare clients, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

Data Scientist - £70k | Remote / Hybrid | FinTech / Payments We’re working with an established FinTech / Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating across several regulated markets. They’re now investing further in their Data Science and AI capability and are looking for a Data Scientist to play a key role in shaping how advanced analytics, machine learning and AI are used across the business. The role As a Data Scientist, you’ll work on turning complex datasets into meaningful insights and production-ready models that influence real business decisions. You’ll partner closely with Product, Engineering and Analytics teams, helping to identify where data science and machine learning can add the most value. This role combines hands-on technical work with the opportunity to influence strategy, tooling and ways of working, particularly around AI and ML adoption. You’ll be involved across the full lifecycle, from problem definition and experimentation through to deployment, governance and ongoing optimisation. What you’ll be doing • Leading the use of advanced analytics, machine learning and AI within the data team, • Collaborating with Product and Engineering on strategic AI-driven initiatives, • Identifying and developing high-impact use cases for data science and ML, • Helping define ML lifecycle standards, documentation and governance, • Communicating insights and model outputs clearly to technical and non-technical stakeholders What we’re looking for Essential experience • Strong grounding in statistical modelling, experimentation and inference, • Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow), • Experience building, deploying and optimising ML models in production, • Strong AWS experience (e.g. SageMaker, Lambda or similar services), • Expert SQL skills and experience working with large, complex datasets, • Solid data engineering fundamentals, including pipelines and APIs, • Comfortable with MLOps practices such as CI/CD, containerisation and monitoring, • Clear, pragmatic communicator who works well across teams Nice to have • Experience with agentic or LLM-based frameworks, • Exposure to causal inference, uplift modelling or advanced experimentation, • Experience working in fintech or another regulated environment, • Awareness of data governance, privacy and model ethics What’s on offer • Competitive salary with flexibility for the right profile, • 25 days holiday plus an additional day off, • Annual learning and development budget, • Private healthcare and wellbeing support, • Pension, life assurance and additional benefits, • Hybrid working with flexibility where possible This role would suit someone who enjoys working on real-world data problems, wants to influence how AI and machine learning are used responsibly in production, and is looking for a role with both technical depth and business impact. If you’re interested, apply directly or reach out for a confidential conversation.

Senior Data & AI Scientist | Up to £80,000 + 10% Bonus | Hybrid (London 3 days). Work in a collaborative, supportive environment with senior data leaders.

You'll work with highly sensitive, complex dataset. 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. Lead data science projects from scoping to

We have partnered with a leading commercial insurer to recruit a Data Science Analyst to join a newly created Transformation function within Underwriting.This is an exciting opportunity to support the development of a centralised analytics capability, helping drive improved insight and decision-maki

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Apply advanced data science techniques to analyse football data and uncover insights on performance and tactics. Data Scientist (Sports Analytics | Football Focus). Were excited to be partnering with a new client a rapidly growing sports data consultancy that is extending its Data.

Senior Data Scientist - Customer Data. 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 an excellent opportunity for a senior-level data scienti

This Data Scientist Specialist role requires candidates who already hold active SC clearance. Join a highly regarded digital, data, and technology consultancy recognised for delivering advanced analytics, AI, and data-driven solutions within secure government, defence, and public sector environments

We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability. Defining technical standards, best practices and governance for Data Science and MLOps. Building, mentoring and developing a high-performing Data Science team.

Join a fast-growing, data-driven FinTech expanding rapidly in the US- they operate across personal loans, credit cards, and auto finance, and are widely regarded as a leader in digital lending. You'll join a compact US-focused Data Science team, taking full ownership of the end-to-end model lifecycl

They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. Data Idols are working with a rapidly scaling technology company which is redefining how large, highly regulated organisations prod

Junior, Senior, and Lead Data Scientists.

Data Scientist £600 P/D Inside IR35 Hybrid, 2-3 days on site per week in London/Manchester or Bristol (Can be flexible) 6 month contract We're supporting a government organisation looking for a skilled Data Scientist to join their team.

Our client is looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network.

Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. The Principal, AI Data Scientist will be responsibl

The Associate Director, AI Data Scientist will be responsible for leading the implementation of innovative, complex and transformative AI/ML/Gen AI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development.

Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Knowledge in digital healthcare tools design and development Occasional mobility within office environment Constantly operating a computer, printer, telephone and other similar office ma

Are you a data scientist who wants your work to have real impact in helping prepare a major government department for the future of automation and AI? As a Data Scientist in DWP Digital, you'll work on automation and AI-driven enhancements within the ServiceNow platform, including the Virtual Agent

Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for custome

Staff Data Scientist — lead the design and delivery of geospatial and telematics data products.

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Simply Business (SB) through simplicity and a pragmatic approach to complex data initiatives. If you're a Senior Data Scientist who thrives on challenging problems, values genuine collaboration, and is eager to see your models deployed end-to-end, then Simply Business is where you'll make your most

Salary: Up to £100k + Benefits.Data Idols is working with a leading logistics company that’s reshaping how operations, data, and technology come together.As part of their growth, they’re hiring a.Routing & Optimisation team, working on complex decision problems that drive real-world efficiencie

Earn competitive compensation with.Exceptional academic background (.Maths, Physics, Engineering, or CS.Oxbridge, Imperial, or top global equivalents.Technology, Information and Media and Energy Technology.

Senior Data Scientist (Senior Software Engineer), BBC Verify.

A leading financial institution in the United Kingdom is seeking a data scientist to design and implement machine learning solutions that enhance investment processes and client experiences.

Familiarity with data engineering tools / frameworks (Apache Spark / Airflow) for pre-processing and managing large datasets. Multilingual Senior Recruitment Consultant | Python, Backend Engineering, and Data Science. With a few MLEs already hired, they’re now looking for a senior MLOps individual

A division of leading entertainment and sports agency Creative Artists Agency (CAA), CAA Portas is the leading management consulting firm dedicated to sport. We help sports leaders across the world on their most important, complex and urgent challenges and opportunities to achieve more for their org

Data Scientist – Data Science Analytics and Enablement (DSAE). Exposure to financial data or investment research is preferable. Join a leading investment management firm and research-driven team as a Senior Data Scientist.

Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products. We are seeking a data-driven scientist to join Sojern's Data Science team within the Science

Data Scientist – Data Science Analytics and Enablement (DSAE). As demand for their expertise grows, they are expanding their data science capability and looking for a capable Data Scientist to join the team. If you're a Data Scientist looking to step into a role with real purpose and long-term opp

Work with Tech colleagues to improve the Data Science workspace, including providing requirements for Data Lake, Data Pipeline, and Data Engineering teams. Be responsible for the end-to-end Data Science lifecycle: investigation of data, from data cleaning to extracting insights and recommending prod

Senior Data Scientist – Consumer Credit Modelling. We’re working with a consumer finance business that’s rethinking credit, making it fairer, simpler, and powered by data. Experience in credit cards or consumer lending.

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A leading technology company is seeking a Data Scientist to develop predictive models and analyze engagement metrics.The successful candidate will work with large datasets and utilize AWS for deploying models.Key qualifications include experience in machine learning, data analysis tools, and profici

Lead Full-stack Data Scientist.Location: London – Hybrid working.Data Idols are working with a distributor in the tech industry who are looking for a Lead Full-stack Data Scientist to join the team.They are a data driven business who are looking for a technical leader.This role will report to the

Data Idols is working with a leading logistics company that’s reshaping how operations, data, and technology come together. This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence. If you’re a data scientist who thrives o