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Gigged AI is an On demand talent marketplace specialising in the IT and technology sector.We have an opportunity live at the moment for a.Data Scientist - Outside IR35 - Hybrid/Scotland.All proposals will be reviewed on the Gigged AI platform.In order to send a proposal please head to.All applicant

Strong technical expertise across Python, SQL, advanced analytics, machine learning, and AI, with a proven ability to design and implement predictive models and intelligent algorithms that solve complex business problems.

This is a free training course followed by the potential for a role with one of our clients.Remote, UK (1 day per fortnight in London or Manchester).These job roles are linked directly to free education, and upon completion of our course, you will be equipped to start your new role.Able to pass a te

We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments. Partner with Analytics Engineering on the cert

Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Data Scientist, you will apply advanced statistical techniques, machine learning methods, and analytical approaches to solve complex business problems and deliver actionable insights that guide business strate

ElevenLabs is an AI research and product company transforming how we interact with technology.We launched in January 2023 with the first human-like AI voice model.Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.Please submit your resume in English and indicate your level of English proficiency.We believe in using the power of collective intelligence to ethically shape the futur

Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role. Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Te

Data Scientist – Agentic Search, Personalisation & Recommendations. We’re currently looking for a Data Scientist (on an initial 3 month contract basis) to help build a next-generation platform that is rethinking how customers search, discover and interact with products through AI.

The Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional.

Data Scientist – Contract | GCP | AI/ML | LLM | RAG Job Type: Contract Introduction We are recruiting for a Data Scientist to join a technology-focused delivery environment, supporting the development, evaluation and implementation of AI, machine learning and cloud-based application solutio

We are recruiting for a Contract Data Scientist to start ASAP. We're looking for a Data Scientist to drive commercial decision-making across Sales, Marketing, and Finance for our client.

Are you a commercially minded Data Scientist who enjoys solving complex business problems and taking ownership of projects from concept to delivery? This Senior Data Scientist opportunity offers the chance to work on high-impact pricing initiatives, develop advanced modelling solutions, and mentor j

We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science‑driven organisation. Right now, our Data Scientists are working on several exciting projects: creating personalised suggestions to get buyers more involved, improving our

Collaborate with data engineering teams to design feature pipelines and ensure data quality across diverse sources, including geospatial, environmental, and operational data. Reporting to theData Intelligence Lead, this role will focus on designing and implementing predictive and prescriptive models

A leading digital bank in Manchester is seeking a Data Scientist with a focus on machine learning. The ideal candidate will have 3-4 years of experience and be proficient in Python. You will be responsible for building and deploying machine learning models and collaborating with diverse teams to deliver insights. This role supports a hybrid work model and offers extensive benefits, including generous leave and health insurance. #J-18808-Ljbffr

As a Senior Data Scientist in Artificial Intelligence, you'll build upon your foundational skills and take on a more significant role in the design and development of AI solutions. Conduct in-depth exploratory data analysis, feature engineering, and model selection for structured and unstructured da

We are recruiting for a Contract Data Scientist to start ASAP. We’re looking for a Data Scientist to drive commercial decision‑making across Sales, Marketing, and Finance for our client. Productionise data pipelines and surface insights in Power BI and Salesforce CRM Analytics.

MRJ Recruitment Limited is seeking a Data Scientist to help build an AI-powered discovery platform in Manchester. This contract role focuses on agentic search, personalised recommendations and intelligent ranking, with production-ready delivery. You will design and evaluate ML models across search, personalisation and recommendations using Python, SQL and Snowflake, aiming to surface relevant products and improve user experiences. Collaboration with cross-functional teams will be essential. #J-18808-Ljbffr

AutoThink Group in the United Kingdom invites a data scientist to turn data into strategic decisions from Rochdale. You will build models that quantify risk, design experiments, and ship data products that leaders rely on to steer the business. The role requires 4+ years of data science experience, fluent Python and SQL, and a strong grounding in statistics and experimental design. You will work with cloud data warehouses and contribute to cross‑team initiatives. #J-18808-Ljbffr

Data Scientist Join a growing Data Science team within an insurance business where you'll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models. You will: • Build, validate and deploy machine learning and statistical models, • Work with Python, SQL, Databricks and PySpark to analyse large datasets, • Solve pricing and risk-related business challenges, • Explore new data sources and test innovative ideas, • Own projects from problem definition through to implementation, • Present insights to technical and non-technical stakeholders, • Support and mentor junior Data Scientists, • Strong commercial Data Science experience, • Advanced Python and SQL skills, • Experience with Databricks and/or PySpark, • Knowledge of machine learning techniques such as XGBoost and LightGBM, • Strong statistical modelling capability, • Excellent problem-solving and stakeholder management skills, • Experience in insurance, financial services, or another regulated environment is advantageous #J-18808-Ljbffr

Bristol, London, Manchester DV Cleared Required Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively, • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development, • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles You must hold active UK Developed Vetting (DV) clearance. #J-18808-Ljbffr

The Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions. Curious, commercially minded and highly analytical. The successful person will be equally comfortable working in Python, SQL and statistical models, sitting with a senior stakeholder to clarify an uncertain question, and stepping back to explain the "so what?" in plain language. Most importantly, they will create clarity from ambiguity, work at pace and turn analysis into decisions. • Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional., • Strong analytical and problem-solving skills, including the ability to create clarity from ambiguous business questions., • Advanced Python skills for data analysis and modelling, together with strong SQL capability., • Practical experience applying statistical and data-science techniques to business problems, including several of forecasting, regression, classification, segmentation and propensity modelling., • Sound understanding of statistical concepts, model evaluation, uncertainty, bias and the limitations of analytical approaches., • Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis., • Excellent requirements-gathering, stakeholder-management and project-planning skills., • Excellent written communication, with experience producing analytical papers or recommendations for senior audiences., • Ability to translate complex analysis into concise conclusions, commercial implications and practical actions., • Ability to iterate quickly, prioritise effectively and provide useful initial answers without waiting for perfectly defined requirements., • Experience with time-series techniques such as ARIMA, exponential smoothing or related forecasting methods., • Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models., • Experience analysing financial, operational, customer or risk data., • Experience using machine-learning techniques beyond traditional statistical analysis., • Experience with Snowflake or another cloud data platform, Streamlit, and Power BI, • Experience in financial services or another regulated, data-rich environment. At AJ Bell, we believe investing should feel good. Whether you're looking for an ISA, pension or dealing account, whether you want to invest with the help of a financial adviser or do it yourself, we have easy-to-use solutions to suit people from all walks of life. We're one of the UK's fastest-growing investment platform businesses, trusted by everyone from professional financial advisers to first-time investors. Today, over 762,000 customers trust us to manage more than £121.5 billion of assets. By continually striving to make investing simpler and more accessible, we're helping more people take control of their financial futures. We're proud to be recognised as one of the UK's Best 100 Companies to Work For for six consecutive years, and a Great Place to Work® in 2025 and 2026, a reflection of our supportive and collaborative culture. • 26 days holiday, increasing with service, plus buy/sell scheme and bank holidays, • 7% pension with matched contributions, • Discretionary bonus scheme, • Share schemes, including free shares and BAYE, • Health Cash Plan and discounted private healthcare, • Free onsite gym, • Enhanced family leave, subject to qualifying criteria, • Travel and bike loan schemes, • Employee Assistance Programme, • Regular social events including summer and Christmas parties, • Learning and development opportunities tailored to you, • Casual dress code, • Friendly, supportive team environment At AJ Bell, our people are the heart of our culture. We believe in building strong connections by working together. That's why we offer a hybrid working model, where you'll spend a minimum of 50% of working time per month in the office. For new team members, an initial period will be spent full-time in the office to help you immerse yourself in our business and build valuable relationships with your colleagues. We're committed to creating an inclusive environment where everyone feels respected, supported and able to be themselves at work. We welcome applications from all backgrounds and make hiring decisions based on skills, experience and potential. This vacancy is being managed exclusively by our in-house Recruitment team. We are not partnering with recruitment agencies on this opportunity and will only accept applications submitted directly by candidates. #J-18808-Ljbffr

At Volcore, our team of wholesale electricity traders and technical experts work together to make real-time decisions that support increasing renewable generation and keep the electricity system stable. We are a profitable and ambitious scale-up, with several full-time, on-site openings in our technical team to underpin our rapid growth. LOCATION Manchester City Centre, On-site EMPLOYMENT TYPE Permanent Full-Time Solve real-world energy problems, often requiring novel approaches developed through team collaboration and original research. Identify and ingest relevant data, ensuring thorough documentation in our internal knowledge base. Iteratively test hypotheses and develop proof-of-concepts to solve real-time forecasting problems. Document and visualise results, sharing insights with the team. Develop, deploy and maintain our software with a focus on speed and accuracy. Continually improve our shared libraries and workflows to ensure they are fast, accurate and a delight to use. Become a trusted expert in the topics you work most deeply on. Uncapped career development: Deliver value, and you’ll be recognised and rewarded, regardless of title or experience. We offer continuous opportunities for growth and new challenges. Fast-growing scale-up: We’re a profitable, ambitious company on a rapid growth trajectory, giving you the opportunity to play a key role in shaping our future. Impactful problem solving: You will be trusted with significant projects that can immediately, visibly affect our success and the industry more broadly, leading to innovative solutions in areas that haven’t been tackled before. Minimal bureaucracy: Your ideas and feedback matter. We prioritise time for you to focus on what you do best, while still providing support from the wider team. Modern tech stack: Including Python, Node JS / Typescript, PostgreSQL, DuckDB and Rust. Colleagues instead of customers: Everything you build will be used by people sitting next to you. High-performing, friendly team: Work alongside bright, driven people who are trusted to deliver and enjoy socialising after a successful day. No energy expertise required, but you must quickly learn new concepts and think independently. Strong software development fundamentals, including optimisation of performance and implementation of complex algorithms from scratch. Ideally this should be demonstrated through passion projects or work experience beyond coursework. Strong modelling and analysis skills using Python, SQL and backend Typescript (or two of the three and the ability to very quickly upskill with targeted support). Excellent, practical statistical/mathematical knowledge. The ability to document and communicate your thinking clearly, including in our knowledge base, notebooks, comments and code itself. Ownership of projects from start to finish, with intrinsic drive to deliver high-quality work quickly. By the time this role commences, be eligible to live and work full-time in the UK. Previous longer-term employment, even where not directly related to this role, e.g. hospitality and labouring. Software development outside of academic study, including personal projects and professional work. Meteorological data manipulation and physical systems modelling. Real-time and online forecasting, especially time-series. Starting salary: £34,000 + participation in our bonus scheme for high-performers. Submit your CV, highlighting how your experience meets the requirements for this role Complete the short application questionnaire Thank you for reading this far. We look forward to hearing from you. #J-18808-Ljbffr

hackajob is collaborating with EY to connect them with exceptional tech professionals for this role. Senior Consultant, AI Engineer, TC, UKI Location: Manchester; Other locations: Primary Location Only Salary: Competitive Date: 30 Jan 2026 Requisition ID: 1680820 At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Location: Manchester Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands-on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud-based AI platforms. • Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains, • Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems, • Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs, • Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue, • Translate business requirements into technical AI/ML features, model selection, architecture decisions, • Conduct exploratory data analysis and communicate insights, • Collaborate with data engineers, architects, and business analysts on integrated solutions, • Build feature engineering pipelines and automated data preparation workflows, • Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management, • Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms, • Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer, • Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field, • Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar), • Hands-on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex), • Understanding of natural language processing, computer vision, and recommender systems, • Strong programming skills in Python, SQL and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM), • Strong analytical and problem-solving mindset with attention to detail, • Ability to work independently and drive projects from ambiguous requirements, • Story telling with data and insights from the outputs, • Consulting skills, supporting development of presentation decks and communication Experience or knowledge covering at least one of the following areas: • Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches, • Strong proficiency in statistical modelling, time-series forecasting, and predictive analytics, • Experience with deep learning frameworks (TensorFlow, PyTorch, Keras), • Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques, • Familiarity with distributed computing frameworks (eg Spark), • Knowledge of graph neural networks, reinforcement learning, or causal inference, • Experience with AI governance, model risk management, and regulatory compliance, • Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot, • Experience in any of the following:, • Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling, • Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction, • Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation, • Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics, • Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling, • Certifications such as:, • Databricks Certified Machine Learning Professional, • Azure AI Engineer Associate or Data Scientist Associate, • SnowPro Advanced: Data Scientist, • AWS Certified Machine Learning - Specialty EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. #J-18808-Ljbffr

We are recruiting for a Contract Data Scientist to start ASAP. Ideally based in Manchester and comfortable with working central US time zones. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always make a remarkable impact for our clients. We do this through our regional offices (or ‘Clubs’) building strong relationships with our partners, so that they are always prioritised by a team within close proximity. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Today we number more than 1,300 people with Clubs all over the UK, Europe and the USA with plans for global expansion in the next couple of years. Join us - and help us fulfil our mission to close the world’s digital skills gap. We’re looking for a Data Scientist to drive commercial decision‑making across Sales, Marketing, and Finance for our client. • Turn business questions into measurable analytics use cases and models., • Build and deploy models (segmentation, churn, pricing, MMM, forecasting) using Python/R on Azure & Microsoft Fabric., • Productionise data pipelines and surface insights in Power BI and Salesforce CRM Analytics., • Partner closely with commercial teams to drive adoption and impact., • 2 + years’ applied data science experience in commercial analytics., • Price Elasticity Modelling Experience is a bonus!, • Strong Python or R, SQL, and Azure/Fabric experience., • Advanced Power BI skills and experience operationalising models., • Ability to communicate insights clearly to non-technical stakeholders., • Machine Learning Experience. We are an equal opportunity employer and welcome applications from all qualified candidates. We actively encourage applications from women, ethnic minorities, and individuals with disabilities. We consider all flexible working arrangements, subject to the requirements of the role. Where reasonable adjustments are needed, we will strive to make changes to accommodate them. We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process. #J-18808-Ljbffr

Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. #J-18808-Ljbffr

FinancialCareers is seeking a Data Scientist for our Economic Crime Hub in Manchester.

Autotrader in Manchester is looking for a Senior Data Scientist to lead data-driven projects and transform the organization. You will work closely with cross-functional teams, orchestrate various data projects, and develop machine learning solutions. The ideal candidate has proven experience in data

A leading technology consulting firm is seeking a Senior Data Scientist to design and develop AI solutions.

Data Science, Machine Learning Engineering or related applied AI roles.Proven experience translating ambiguous business needs into well-framed analytical or AI problems.Hands-on experience developing and evaluating classical machine learning, NLP and LLM-based solutions.Experience with experiment de

AtkinsRéalis are looking to recruit an Information Manager to join the Asset and Information Management team within our Infrastructure division. We can be flexible around your location – with the role potentially being based from any AtkinsRéalis UK office. As part of our growing commitment to the digitization of the built environment, innovation in digital engineering and design, and the rising importance of information and data management in the construction sector, we are looking to find new talent to support our growing Data and Information Management team on some of our largest infrastructure programmes. As one of the largest infrastructure consultancies worldwide, we work with our clients to deliver transformative projects. From the development of organisational benefits through better information management, to the application of user‑focused discovery and service delivery – we have a vision for change. Our global programme to connect People, Data and technology is focused on delivering beyond expectations, creating a sustainable, more resilient net‑zero future, changing the game, pushing the limits, and engineering a better future for our planet and its people. We are transforming how our business delivers traditional design that considers digital twinning, smart cities, automation, and novel applications of computer vision and data science. We are looking for exceptional individuals who demonstrate delivery excellence, an innovation mindset, a deep understanding of digital technology and collaborative behaviours to help lead our most important programmes with respect to information management. You will champion the application and value of information management alongside our clients, apply your knowledge in user‑focused discovery and service delivery to target real benefits across the lifecycle of asset delivery in the Architecture, Engineering and Construction sectors. We love different – be it your experience in BIM/IM systems development, client advisory or management, computer scientist, civil engineer, and everything in between – we encourage applications from individuals who feel passionate about the future of our sector. With a knowledge or interest in the engineering, architectural and/or construction sector, we are looking for diverse individuals who understand the opportunity of changing workflows as underpinned by the principles of information management and clarity in the value around technology to enable real change in the sector. You will be motivated, excited and a team player with many of the following attributes: • An ability to rapidly align to client need, delivery capability and design requirement to develop an Information Management and Digital Strategy for our Clients and delivery teams that is tangible, deliverable, and will deliver value to our client and project team., • A good understanding of the principles of Information Management functions as outlined in international standards (EN ISO 19650), familiar with the Government's BIM Strategy and can bring knowledge and experience of implementing and developing BIM within a project environment., • Programme‑level management of multiple work‑package teams to ensure the successful delivery of high‑quality data to our clients., • Advisory and delivery capabilities in developing and enabling a technology stack (CDE and wider) strategy, then ensuring it is implemented and used across our client and supplier teams., • Ability to design the necessary workflows and processes to ensure adoption of technology across delivery supply chains. This might include traditional 'BIM' technologies, utilisation of GIS data environments, or adoption of collaboration tools (e.g., Jira, Microsoft Teams, Miro/Slack/Trello)., • Ability to guide, advise and enable project set‑up support – for example, BEP development and implementation including establishing project‑related processes, protocols and CDE arrangements., • Ability to work across the broader business to ensure successful discipline integration around Information Management and technology development. This will include reach‑back to our other technical experts in BIM, GIS, digital engineering, automation, machine learning and design., • The Drive and ambition to stay informed of digital tools developments within the wider business and identify opportunities for transfer of tools, knowledge, and skills., • Intensely collaborative, understanding that AtkinsRéalis, our supply chain, our partners in delivery, and our clients are one team – you are the voice and champion of that whenever you represent our business., • Commercial awareness, ability to tailor strategy and technical requirements to company demands., • Confident leading and working as part of a team with good interpersonal skills., • Strong verbal and written communication skills., • Must be a self‑starter, autonomous but able to work effectively with the wider team., • Ability in the delivery of user‑centric customer discovery with focus on delivering best practice in Information Management., • Willingness to lead change management processes., • Driven to pursue continued education in BIM and connect with wider internal and external industry community., • Experience providing BIM/IM consultancy services including technical advice and guidance., • Experience in applying agile delivery methodologies to manage and maintain delivery strategies for project teams and clients., • We are looking for candidates with a range of experience in a leadership role in the construction industry, championing BIM, information management, digital engineering and design. Salary will be scaled based on experience., • In‑depth knowledge and implementation of the UK BIM Framework., • In‑depth experience utilising Common Data Environments to support project delivery., • Good knowledge of Information Management processes and standards., • Good knowledge of Asset Management standards., • Leadership experience, ideally in a project or programme management role., • Good knowledge of digital tools (e.g., software) within the architectural / construction industry., • Ideal understanding of the whole‑life construction lifecycle from design to construction and manufacture, including an understanding of its relevance considering the changing industry environment., • An understanding of the latest developments in the AEC technology ecosystem. Explore the rewards and benefits that help you thrive – at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. We are AtkinsRéalis, a world‑class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We’re committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong – a place where we can all be ourselves, thrive and develop to be the best we can be. We offer a range of family‑friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. #J-18808-Ljbffr

Date Posted: 2026-09-19 Location: Abbey Hey, Greater Manchester, GB, M18 8 Application Deadline: 2026-10-18 Data Scientist - Machine Learning Manchester | Hybrid (2 days in office) | Up to £70,000 We are hiring a Data Scientist for a specialist AI and machine learning company that takes research-grade models into production for international clients in the UK, Europe, and the US. This is a hands-on role. You will design, build, and deploy ML solutions end to end - from exploration and experimentation through to models that are actually used. • Design and develop CV, ML, and AI models (predictive, classification, recommendation, and LLM-based), • Select and optimise algorithms, including regression, tree-based methods, and neural networks, • Integrate models into production environments, cloud or on-premise, • Clean data, engineer features, and validate models, • Work with clients and internal teams to turn analysis into decisions, • 3+ years in data analysis, computer vision, machine learning, or statistical modelling, • Practical experience deploying ML models, • Strong Python (NumPy, pandas, scikit-learn, matplotlib, plus PyTorch or TensorFlow), • Solid statistics and data preparation, • SQL and Git, • Comfortable working on Windows or Linux, • Fluent English for international collaboration, • Useful, not essential: LLMs or time series, Computer Vision, Docker, MLflow, Airflow, AWS, GCP or Azure, Research / R&D background, Experience in cross-functional or international teams, • Production AI work with real operational impact, • International client exposure, • Hybrid working - two days a week in the Manchester office, • Salary up to £65,000, • A practical, engineering-led culture #J-18808-Ljbffr

Location: Manchester, UK (Manchester Science Park) – with frequent travel (including to Houston, Texas, USA) Reports to: Chief Scientific Officer (Project Director), with day-to-day technical liaison to the Technical Director Contract: Permanent, full-time Start date: September 2026, or by negotiation to accommodate PhD completion Salary: Dependent on experience Funding: Year 1 funded through the Innovate UK Biomedical Catalyst Post-Accelerator grant (ATC-Heart project); ScubaTx intends this to be an ongoing, permanent role supporting continued US commercial deployment beyond the grant period ScubaTx's Active Temperature Control (ATC-Heart) platform is moving from laboratory-validated device into real-world deployment with an Organ Procurement Organisation (OPO) and clinical partners in Houston, Texas. The Medical Liaison Scientist (MLS) will be ScubaTx's dedicated, on-the-ground representative for this deployment: coordinating day-to-day activity with LifeGift and Houston-based clinicians, translating technical and clinical performance into commercial value, and ensuring the system integrates smoothly into existing OPO and transplant workflows. This is a new, dedicated role rather than an extension of an existing one. The project requires sustained, continuous on-the-ground presence in Houston throughout the real-world deployment phase – a level of engagement that cannot be provided alongside the existing part-time, ad hoc or strategic-oversight commitments of the CEO, CSO and Technical Director. • Coordinate day-to-day logistics of ATC-Heart deployment with LifeGift (Houston OPO) and Texas-based clinical partners (Texas Heart Institute, Texas A&M/EnMed)., • Provide on-site training and workflow-integration support for OPO recovery teams and transplant clinicians, working with the Technical Director on device troubleshooting where required., • Monitor, record and quality-check device performance, reliability and usability data generated during real-world transport and preservation., • Support ScubaTx's relationships with OPO staff, transplant surgeons and coordinators, serving as an accessible and professional day-to-day contact throughout the project., • Build and maintain relationships with Houston-based clinicians and OPO leadership, representing ScubaTx professionally at customer sites., • Maintain a clear feedback loop between the field and the UK technical and commercial teams., • Support structured customer insight gathering (workflow requirements, adoption criteria, procurement decision drivers)., • Analyse real-world performance and usability data generated during deployment., • Contribute data collection and analysis in support of the quantified customer value model, working under the direction of the Project Director., • Produce regular field reports and contribute to milestone and stage-gate reporting to the Project Director., • Support development of customer-facing training materials and clinician communication resources., • Contribute to conference presentations and publications of project findings (e.g. ISHLT, AOPO), subject to commercial confidentiality., • Prepare and maintain product materials for clinical interactions, including leaflets, slide decks and other resources to support customer-facing activities., • Support the design and execution of further evidence-generating initiatives as identified by the Project Director., • Assist in drafting and reviewing publications and scientific communications in collaboration with clinicians and academic scientists. This role is based in ScubaTx's Manchester office but requires frequent travel to Houston, Texas, concentrated during the real-world deployment phase of the project (approximately November 2026 – June 2027): • During the deployment phase: on-the-ground presence in Houston of approximately one week in every four to six weeks, with more frequent trips around key training and deployment milestones., • Before and after this window: shorter, more occasional visits for relationship-building, planning and follow-up., • Occasional additional travel to other US sites or relevant conferences as required., • Candidates must be able to travel to, and undertake business activity in, the United States (e.g. via ESTA/B-1 or equivalent business travel authorisation)., • Degree (BSc, MSc, or PhD, including candidates in the final stages of thesis completion) in a relevant life sciences, biomedical engineering, clinical or related discipline., • Experience in a clinical, medical device or life-sciences commercial environment, ideally involving direct interaction with clinicians, hospital or procurement staff. Relevant doctoral research experience in a life sciences or clinical context will be considered equivalent., • Strong data analysis skills (e.g. Excel and/or statistical software), with the ability to translate technical and clinical data into clear commercial insight., • Excellent written and verbal communication skills, comfortable liaising confidently with senior clinicians and OPO leadership., • Willingness and ability to travel frequently and independently to the USA, as set out above., • Self-motivated and comfortable operating with significant autonomy while based remotely from the core UK team., • Familiarity with organ transplantation, organ preservation, or OPO operations., • Experience with medical device field deployment, clinical evaluations, or post-market surveillance., • Understanding of US healthcare and transplant procurement/reimbursement pathways., • Prior experience supporting an early-stage or scale-up medtech company. ScubaTx is a Manchester- and Houston-based medical device company developing the Active Temperature Control (ATC) platform: a reusable, plug-and-play system that actively regulates and maintains precise, tuneable temperatures for donor organs during transport, alongside proprietary oxygen persufflation technology. ATC-Heart, the company's first product application, is approaching FDA 510(k) submission and initial US commercial deployment. This role is central to that transition from late-stage development into real-world clinical use. #J-18808-Ljbffr

This range is provided by PeopleGenius. Your actual pay will be based on your skills and experience—talk with your recruiter to learn more. This role is brand new; we’re looking for someone with a year or two’s commercial experience as a Data Scientist (Industry Agnostic) in the UK with a UK Degree and ideally a Masters – solid Python skills, modelling and analytical prowess. This is a small team, where you’ll be outgoing, bright and inquisitive. You’ll work from an office in Central Manchester 3 days per week. • Excellent Benefits including Bonus, healthcare & more, • Your chance to work with some highly cerebral and motivated colleagues, • Financial Services - Hedge Fund backed and highly profitable, • Supportive, Creative and Meritocratic environment, • Working for a specialist in FS with some unique projects, • You’ll utilize structured and unstructured data to build models and forecast PtoP and other models – also get involved in some new projects such as NLP, • Work across different European portfolios – presenting to colleagues and providing insight, • You could be working with a large European bank or a smaller Italian FS client, • Modelling, model scoring and monitoring – predictive and descriptive using various data sources, • Python and SQL experience ideally – Python a MUST, • Experience in a data science role with a focus on modelling & coding is a must, • Degree and/or Masters educated in Computer Science, Maths, Stats, etc., • Modelling – CHAID, cluster analysis, Bayesian algorithms, NN, MARS, • Experience with visualisation tools would be a positive though not a pre-requisite, • Industry agnostic The interview process is simple – Teams/Zoom with us, initial screening call with the Head of Data Science/Analytics, then you’re given a project to work on and present back and face‑to‑face interview in Manchester the same day. We support you throughout the entire process. Data Scientist, Senior Analyst, Artificial Intelligence, Machine Learning, AI Data Scientist, Modelling Analyst, Statistical Analyst, SQL, Python, Coding, Algorithms, Quantitative Finance. • Seniority level: Associate, • Employment type: Full‑time, • Job function: Information Technology, Strategy/Planning, and Analyst, • Industries: Banking, Financial Services, Investment Banking Referrals increase your chances of interviewing at PeopleGenius by 2x. #J-18808-Ljbffr

IQVIA’s Medicines Evaluation Unit (MEU) in the UK is recruiting a Bioanalytical Scientist to perform immunoassay-based analyses and lead studies within a hospital-based research setting. The role focuses on assay validation, data interpretation, and coordinating multiple labs to deliver timely results. The successful candidate will manage resources, draft manuals, and present findings to sponsors, contributing to a high-autonomy, collaborative environment with access to cutting-edge in-house #J-18808-Ljbffr

A dynamic clean energy company located in Manchester seeks a passionate software developer to tackle real-world energy issues. You'll work on innovative projects that utilize Python, SQL, and Typescript, documenting and sharing insights effectively. The role offers significant career growth opportunities in a high-performing and friendly team environment. Starting salary is £34,000, complemented by a bonus scheme for high performers. #J-18808-Ljbffr

The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. Experience using machine-learning techniques beyond traditional statistical analy

Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. #J-18808-Ljbffr

Statistical Data Scientist Manchester - Hybrid/Remote Initial 2-month contract (Potential to extend) SRG are recruiting for a Data Scientist to join an innovative Life Science company based in Greater Manchester. The company specialises in developing medical devices used to improve the recovery, & quality of life for patients with chronic conditions, relieving the burden of care for patients, their families, and healthcare systems. This will be an initial 2-month contract with the potential to extend, leading a key statistical project. This is a key post within the business and will begin asap. Working in conjunction with the global team, as the Statistical Data scientist you will be responsible for leading a study project. Working with large patient data sets, preparing them for analysis and use ahead of publication of key study data. Key responsibilities will include: • Organisation & cleansing of data sets., • Programming analysis tools using R, • Data Analysis, • Creating visualisations and dashboards, • Produce evaluations & reports for internal stakeholders., • A degree in Data Science, mathematics or similar relevant field., • Proven experience of Data organisation & Analysis., • Proven experience working independently to progress statistical projects., • Ability to code in R, • Available to begin with short notice. #J-18808-Ljbffr

Grayce specialises in delivering data-driven change and transformation for some of the UK’s most ambitious organisations. For over a decade, we have partnered with FTSE 100 and FTSE 250 companies to deploy high-performing early career talent across complex data and analytics programmes. Our Accelerated Development Programme offers a structured, fast-track route into industry. You will gain hands-on experience working with real datasets, building insights, supporting data platforms, and contributing to data-led decision making. You will typically work with one client at a time, delivering meaningful outcomes in a professional, client-facing environment. Alongside this, you will complete a minimum of six industry-recognised accreditations, with clear progression pathways and salary growth as you develop. We are recruiting graduates into a range of data-focused roles across analytics, engineering, and data science. Advanced Analytics & Data Science: Data Scientist Data Analysis & Insight: Data Analyst, BI Analyst, Insight Analyst, Reporting Analyst, Hybrid Data/Business Analyst Data Engineering & Platforms: Data Engineer, Data Governance Analyst, Data Quality Analyst • Analysing and interpreting complex datasets, • Building dashboards and visualisations, • Supporting data pipelines and transformations, • Ensuring data quality and governance, • Communicating insights to stakeholders, • Excel, SQL, Python or R, • Data modelling and transformation concepts, • Strong analytical mindset, • Attention to detail and accuracy, • Ability to translate data into insight, • Clear communication and storytelling Locations are updated regularly based on client demand. Current opportunities include: • Gain hands-on experience working full-time, on-site with leading organisations, supported by structured training and industry-aligned development., • Work directly with a client, delivering high-quality outcomes in a professional, client-facing environment., • Receive dedicated coaching and support throughout your placement and development journey., • Complete a minimum of six industry-recognised accreditations, with clear pathways for career progression and salary growth., • Access our Employee Assistance Programme, offering 24/7 confidential support across financial, legal, health, and wellbeing areas., • Our salaries are dictated by location and client #J-18808-Ljbffr

Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional. The Senior Data Scientist turns complex and often loosely defined business questions into clear, actionable insight. Experience working with large or complex datasets

NatWest Group in Manchester is looking for a Data Scientist in the Economic Crime Hub to design and implement data science tools that prevent fraud and scams, reduce customer harm and financial losses, and improve fraud decisioning.You’ll work with fraud stakeholders and data teams to translate ch

THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. We are seeking a talented and commercially astute Data Scientist to join our dynamic team tackling Fraud, Payments and Finance. In this multi-focus role, you will be responsible for protecting our global e-commerce operations from fraud, optimising our payments performance and driving profitability and automation initiatives within Finance. Working with vast, complex datasets, the work will involve combatting online fraud using our award-winning THG Detect platform and driving payments optimisation by increasing authorisation rates, while also using the latest AI software and Google Cloud Platform (GCP) infrastructure to build complex data solutions and applications. This role requires a blend of strong technical skills, commercial acumen, and effective communication to translate complex data insights into tangible business value. • Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules., • Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs., • Drive Profitability within Finance: Lead automation and profitability initiatives across different areas of Finance., • Communicate Performance: Report on all aspects of fraud, payments and finance performance to stakeholders at all levels, including C-level management., • Drive System Improvements: Collaborate with Fraud, Payments, Finance and Engineering teams to scope and implement enhancements to detection systems and data pipelines., • Innovate & Automate: Proactively identify opportunities to improve detection capabilities, drive profitability, increase payment success, and enhance team efficiency through automation., • Proficient with SQL & Python, • Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.), • Experience using a variety of machine learning algorithms, • Able to communicate effectively; using data to tell a story and drive business change, • Experience within Google Cloud preferential THG Ingenuity is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability. THG Ingenuity is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community. #J-18808-Ljbffr

£65,000 + bonus + benefits | 2 days/week Manchester (moving to 3 days soon) If you’re a pricing data scientist who wants to lean harder into ML (or you’re an ML engineer who enjoys commercial, real-world modelling), this is one of those roles where Python is central to everything. You’ll join a high-performing ML team (4 ML engineers today) with genuine buy-in from the wider business and a strong pipeline of interesting work. The team is growing, and so is the opportunity to step up. • Building and improving pricing models using Python, • Working on GLMs and GBMs (this is not an LLM/neural-network role), • Translating model outputs into decisions that move the needle commercially, • Collaborating closely with ML engineers, pricing, and stakeholders across the business, • Helping shape how the team scales as hiring continues, • Python-first environment with meaningful engineering/ML focus, • Huge internal support for ML and analytics, • A team that’s already established, but still early enough for you to have real influence, • Clear career progression as the function expands over the next 12–24+ months, • Strong Python and experience delivering models into production or production-like settings, • Background in pricing analytics / data science / ML engineering, • Comfortable with GLMs/GBMs and rigorous modelling practices, • A career-focused person who wants to grow with a scaling team 📍 Location: Manchester (Hybrid — 2 days/week in office, moving to 3 days/week soon) 💷 Package: up to £65,000 base + bonus + benefits Interested? Send your CV for immediate consideration or message me for a confidential chat and full details Mid-Senior level Full-time Information Technology Insurance #J-18808-Ljbffr

Coltech is seeking an experienced Senior Data Scientist / ML Engineer to join our Data & AI team in Manchester. You will develop and evaluate ML, NLP and Generative AI solutions across the full data science lifecycle and work with stakeholders to deliver practical business outcomes. You will mentor

As a Senior Data Scientist, you will help maintain our strong reputation for delivering robust solutions by taking a conscientious and scientific approach to customer data. We partner with government and law enforcement on some of the most challenging data and technology problems out there, and we'r

Data Scientists at Made Tech help public sector organisations decide where data and AI can genuinely improve services, then design, build and evaluate solutions that work in practice. At other times you will be working with the other members of data engineering teams and performing exploratory data