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AECOM is seeking a Senior Data Scientist to join our Data Science & Analytics team, contributing to data-driven decision-making across global projects in infrastructure and urban development. The role focuses on AI/ML strategies, IoT insights, and predictive models to unlock business value. Reporting to the Data Intelligence Lead, you will design models, govern MLOps, collaborate with cross-functional teams, and mentor junior data scientists while aligning with global standards. #J-18808-Ljbffr

Searchability NS&D is seeking a Data Scientist / AI Engineer for a permanent, on-site role in Manchester. You must hold active enhanced DV clearance and be prepared to work across public and private sector projects. We are looking for expertise in machine learning, GenAI, NLP, and scalable solution delivery, with experience in client engagement and leading agile teams. Salary ranges from £45k to £95k, plus a 15% clearance bonus, depending on experience. #J-18808-Ljbffr

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Manchester, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. #J-18808-Ljbffr

An Insurance Recruitment Firm is seeking a pricing data scientist or ML engineer in Manchester. This position offers a hybrid work environment with 2-3 days in the office, focusing heavily on Python-driven pricing models. Candidates should have strong experience in ML, GLMs, and production modeling. The role promises significant internal support and career growth opportunities within a high-performing team. Salary up to £65,000 plus bonus and benefits, emphasizing collaboration and impactful work. #J-18808-Ljbffr

If you must spend 40 hours a week working, you want to make sure you’re working with pretty fantastic people doing some pretty amazing things. That’s why at ServisBOT we seek team players that are self‑starters, uncompromisingly resourceful, and extraordinarily passionate about technology. If this sounds like you, we should meet. Location: Manchester, England (Hybrid - 3 days per week in office) with occasional workshops and in‑person meetings Salary: Competitive, based on experience Type: This is a full‑time, permanent contract on the customer success team If interested, send a cover letter and CV to: We’re looking for a practical, customer‑focused and AI‑curious Business Analyst to help us design and deliver AI agent solutions for our customers. This is not a standard BA role where you simply gather requirements and pass them on. You’ll work with customers to understand their business processes, service challenges, operational pain points and customer journeys, then help shape how AI agents can support, automate or improve those workflows. You’ll sit between customers, Customer Success, Product and Engineering. Your job will be to turn messy business problems into clear, structured requirements that can be delivered as effective AI‑powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking critically about risk and quality, and helping customers move from vague ideas to practical, testable solutions. This role is ideal for someone who has experience in business analysis, solution design, implementation, digital transformation, customer operations or SaaS delivery, and who wants to apply those skills in the fast‑growing area of AI agents. You’ll work as part of a team to: • Lead discovery sessions with customers to understand business goals, operational workflows, customer journeys and pain points., • Translate customer problems into clear AI agent use cases, requirements, workflows and acceptance criteria., • Identify where AI agents can improve speed, consistency, customer experience, operational efficiency or employee productivity., • Map current‑state and future‑state processes, highlighting where automation, AI assistance or human handoff should occur., • Define agent behaviours, conversation flows, business rules, escalation paths, knowledge requirements and success measures., • Work with Junior AI Agent Builders, implementation colleagues and technical teams to ensure requirements are understood and delivered correctly., • Help design prompts, knowledge structures, test scenarios and evaluation criteria for AI agents., • Support customer workshops, demos, playback sessions and feedback reviews., • Challenge vague or unrealistic requirements and help customers focus on practical, valuable outcomes., • Collaborate with Product and Engineering to identify gaps, product opportunities, technical constraints and reusable patterns., • Review agent outputs for accuracy, usefulness, tone, compliance, consistency and customer experience., • Support UAT, testing and launch readiness by making sure agent behaviour matches agreed requirements., • Create clear documentation, including process maps, user stories, requirements, decision logs, test scenarios and customer‑facing summaries., • Help define what success looks like for each AI agent, including operational KPIs, customer experience measures and quality indicators., • Keep up to date with practical developments in AI agents, LLMs, workflow automation, prompt design and AI governance. A traditional BA might document what a customer asks for. In this role, you’ll need to help customers work out what they actually need. You’ll need to understand when an AI agent is the right solution, when a process needs to change first, when automation could create risk, and when a human‑in‑the‑loop approach is more appropriate. You’ll be expected to think about: • How an AI agent should behave in real customer scenarios., • What information the agent needs to answer accurately., • What the agent should not do., • When the agent should escalate to a human., • How to test whether the agent is performing well., • How to design workflows that are useful, safe and maintainable., • How to turn customer ambition into something deliverable. This role requires strong BA fundamentals, but also curiosity, judgement and practical understanding of how AI can be applied in real business environments. We’re looking for someone with solid experience in business analysis, solution delivery or customer‑facing technology projects. You should be: • Experienced in gathering, analysing and documenting business requirements., • Confident running customer workshops and asking structured, thoughtful questions., • Good at breaking down complex or messy processes into clear workflows., • Able to distinguish between business needs, user needs, technical constraints and product gaps., • Comfortable working with technical and non‑technical stakeholders., • Strong at writing clear documentation, user stories, acceptance criteria and process maps., • Curious about AI, automation and how businesses can use agents to improve customer and operational outcomes., • Practical and outcome‑focused, with good judgement about what will actually work., • Comfortable challenging assumptions and helping customers prioritise., • Able to work closely with delivery, product and engineering teams., • Strong at spotting ambiguity, risk, edge cases and gaps in requirements., • Interested in customer experience, service design, digital transformation and operational improvement., • Comfortable testing AI agent behaviour and reviewing outputs critically., • Organised, reliable and able to manage multiple customer or project workstreams. You do not need all of these, but any of the following would be helpful: • Experience as a Business Analyst, Product Analyst, Implementation Consultant, Solution Consultant or Digital Transformation Analyst., • Experience in SaaS, customer service technology, contact centres, workflow automation or enterprise software., • Exposure to AI tools such as ChatGPT, Claude, Gemini, Copilot or other AI platforms., • Experience with conversational AI, chatbots, virtual agents or customer service automation., • Experience creating process maps, user stories, acceptance criteria, test plans or solution documentation., • Understanding of APIs, integrations, webhooks, CRM systems, ticketing systems or automation platforms., • Experience working with Product and Engineering teams in an agile delivery environment., • Experience supporting UAT, customer testing, implementation or go‑live readiness., • Familiarity with knowledge bases, FAQs, help centres, content design or service design., • Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: • A machine learning engineer., • A data scientist., • A software developer., • An AI researcher., • A prompt engineering expert., • A traditional BA who only writes requirements and avoids solution thinking. We’re more interested in your ability to understand business problems, structure complexity, communicate clearly, work with customers, and help deliver practical AI agent solutions that create real value. In your first few months, you’ll be able to: • Understand how ServisBOT designs, builds and delivers AI agent solutions., • Lead customer discovery sessions with support from senior team members., • Produce clear workflow maps, requirements, agent behaviour definitions and acceptance criteria., • Work with implementation colleagues to turn requirements into agent configurations, prompts, knowledge structures and test scenarios., • Identify gaps, risks, edge cases and dependencies early., • Support demos, playbacks and customer feedback sessions., • Help customers understand what AI agents can and cannot realistically do., • Contribute to better internal delivery patterns, reusable templates and best practices. Over time, you’ll grow into someone who can take a customer problem from early discovery through to a clear AI solution design, working with the team to deliver agents that are useful, reliable, measurable and aligned to customer outcomes. This is a chance to apply strong business analysis and solution design skills to one of the fastest‑growing areas of technology: practical AI agents for real businesses. You’ll work on real customer problems, not theoretical AI experiments. You’ll help shape agents that support customer service, operations and business workflows, while learning from experienced colleagues across Customer Success, Product, Engineering, Architecture and Delivery. You’ll also have the opportunity to help define what good AI business analysis looks like: how to capture requirements for AI agents, how to test agent behaviour, how to design safe and useful workflows, and how to help customers adopt AI in a practical way. If you’re an experienced BA who wants to move beyond standard requirements gathering and into AI‑powered solution design, this could be a great fit. If interested, send your resume to USA - ServisBOT LLC. Lexington, MA 02421 P: IRELAND - ServisBOT Ltd. Arclabs Research Center, Carriganore, Waterford. P: #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

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

Arxada is a global specialty chemicals business that’s committed to solving the world’s toughest preservation challenges through better science. With a proud history of innovation dating back more than a century, we strive to help our customers develop more sustainable solutions that protect and maintain the health and wellbeing of people and extend the life of vital infrastructure while working to reduce our and our customers’ ecological footprint. The role of the Senior Formulation Scientist – Home & Personal Care is to drive research excellence at Arxada across multiple markets in the areas of personal care & home care formulation, delivering innovative solutions in the form of new inventions and advanced formulation insights and formats for improving preservation and establishing novel format claims related to surfactant, emulsifier and multifunctional uses in these technology areas. The ideal candidate will have hands-on experience in cosmetic formulations and a passion for creating innovative products. Essential Job Functions: • Design and conduct experiments to develop ideas, concepts, processes, hypotheses, and focus areas that lead to new products, formulations, or expanded application uses., • Initiate and lead specific innovation pipeline management programs intended to create new and/or improved products, formulations, testing protocols, and/or processes., • Provide direction and insights into the innovation needs of Arxada customers and how Arxada technologies can deliver solutions for those needs via deep application knowledge and service., • Define research programs, in conjunction with universities and external research organizations, to facilitate promotion of our products with consumers., • Lead formulation development to develop robust technical information in the form of customer seminars, webinars, research/technical reports, presentations, product data sheets, and sales tools for new products in collaboration with the Global Marketing teams. Qualifications & Experience: • 4-7 years of experience in cosmetic formulation, specifically in skin care, hair care, sun care or colour cosmetics., • BSc in Chemistry or related field is essential. MSc in Cosmetic Science is desirable., • Strong ability to develop new formulations across multiple personal care and home care applications., • Strong problem-solving skills to identify issues, devise solutions and adapt to changing circumstances., • High level of competency in conducting experiments, utilizing laboratory equipment and implementing safety protocols., • Ability to think outside the box and develop innovative solutions and products., • Ability to work with cross-functional teams, including other functions in R&D, marketing and regulatory and communicate effectively. Arxada is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law. • Associate, • Full-time, • Product Management, • Chemical Manufacturing #J-18808-Ljbffr

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research and production. Our teams operate in an international environment, collaborating with customers from the US and Europe. We’re looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment.If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you! You will be responsible for: • Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based),, • Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.),, • Integrating models into production environments,, • Performing data cleaning, feature engineering, and model validation,, • Collaborating with clients and internal teams to translate analytical results into actionable insights, We don’t expect you to know everything — but we’re looking for someone who has: • 3 + years of experience in data analysis, computer vision, machine learning, or statistical modeling,, • Practical experience with ML model deployment (on cloud or on-premise),, • Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow),, • Understanding of Windows or Linux software development platforms, • Good understanding of statistics and data preparation,, • Working knowledge of SQL and version control tools (Git),, • Fluent English – for international communication and collaboration. Nice to have: • Experience with LLMs, or Time Series,, • Familiarity with tools like Docker, MLflow, Airflow, AWS/GCP/Azure,, • Background in research or R&D,, • Experience working in cross-functional or international teams. Soft Skills: • Curiosity and problem-solving mindset,, • Clear communication and teamwork,, • Proactive attitude and sense of ownership,, • Ability to explain technical concepts to non-technical audiences. What We Offer: • Exciting projects in AI and ML with real-world impact,, • Collaboration with international clients (US and Europe),, • Hybrid working model – 3 days per week in the office, with the option to work remotely on the remaining days,, • Supportive, growth-oriented culture that values innovation. #J-18808-Ljbffr

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

Data Scientist - AI & Machine Learning Location: UK Contract: 12 months Working Pattern: Hybrid - minimum 2 days per week in the office I'm recruiting for a Data Scientist to join an exciting AI and machine learning programme, where you'll help transform complex business challenges into practical, data-driven solutions. You'll work alongside multidisciplinary teams to frame problems, explore different approaches and develop advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities • Analyse and process large datasets from multiple sources., • Develop and evaluate machine learning models and AI applications using Python., • Apply statistical analysis to interpret results and support informed decisions., • Define problem statements, evaluation metrics and experiment designs., • Contribute to LLM evaluation, prompt engineering and RAG-based approaches., • Work with business stakeholders to communicate findings and model outcomes., • Support the development of data science products and provide technical guidance to junior team members. Key Skills & Experience • Strong Python skills for machine learning and data science., • Experience with classical machine learning and LLM development and evaluation., • Understanding of problem framing and AI/ML evaluation metrics., • Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)., • Experience designing experiments and working with model cards., • Ability to interpret complex statistical results and communicate findings. For more information or to apply directly, please email. I review applications daily and will contact shortlisted candidates as quickly as possible. JBRP1_UKTJ

Job ID: 01873349Posted: Posted 3 Days AgoStart Date: 2026-10-13Location: Gloucester, South Gloucestershire; Manchester, LancashireCountry: United KingdomTime Type: Full timeDate Posted:2026-10-13 Country:United Kingdom Location:Gloucester, South Gloucestershire Position Role Type:OnsiteThis role

Job-ID: 15989Category: PROFESSIONAL SCIENCESLocation: Manchester, England, United KingdomSchedule: Full timePosted: 2026-10-02Closes: 2026-10-23ABOUT YOU We are seeking an experienced bioanalytical scientist with a strong background in LCMS/MS quantitative analysis and pharmacokinetic (PK) studies, ideally with practical experience within a regulated laboratory environment. You will have a BSc, MSc or PhD in Biology, Chemistry or a related scientific discipline, together with a detailed understanding of bioanalytical methodologies and regulatory expectations.Required skills and experience:BSc / MSc/ PhD in Biology/Chemistry (or related scientific discipline) is essential. In-depth knowledge of LCMS/MS and experience performing quantitative pharmacokinetic (PK) analysis.Comprehensive experience of working in a GxP regulatory laboratory with an understanding of GLP/GCP/GMP principles.Specialist Method development and validation experience (ICH M10) for LCMS/MS PK analysisPractical knowledge of techniques to extract pharmaceuticals and biopharmaceuticals (small/large molecule) from biological matrices (e.g. serum, plasma and urine).You should also be able to demonstrate experience training, supervising and coordinating the work of more junior scientists.Good practical laboratory and problem-solving skills.Good IT literacy skills.Strong numeracy skills with the knowledge of calculating and tabulating results.Clear written and verbal communications skills with the ability to clearly convey processes, results and key messages and able to build rapport, quickly and effectively. Good interpersonal skills with the ability to collaborate with all areas of the business.The ability to effectively time manage personal workload and work on multiple projects as required.Good comprehension skills with the ability to interpret analytical information and convert this into a technical report or Certificate of analysis.Knowledge and application of appropriate systems and procedures relevant to scientific and analytical methodologies, required regulatorystandards, research/regulatory procedures and instructions.Knowledge and application of safety procedures, laboratory performance standards, handling biological samples, chemicals, COSHH, GMO, SHE and enforcement of safety and quality systems.ABOUT THE OPPORTUNITY The Scientist position is an onsite laboratory-based role within the Operational team. The primary focus is performing LCMS/MS analysis in a GLP, GCP and GMP accredited laboratory. The candidate will have experience of Developing and Validating LCMS/MS methods following ICH M10 guidelines for pharmacokinetic (PK) analysis. The role requires in depth understanding of LCMS/MS and experience of pharmacokinetic (PK) analysis for pharmaceuticals / biopharmaceuticals (for example small molecules, proteins, peptides, lipids and oligonucleotides) in clinical and non-clinical samples. A Scientist is expected to be an independent member of the lab team and will work across a vast array of projects which will range in scale, scope and timelines.Key activities:In-depth understanding of LC-MS/MS and the application to pharmaceuticals/ bioanalytical analysis.Expertise in all practical aspects of quantitative pharmacokinetic (PK) analysis utilising LCMS/MS.Provide specialist expertise of method development and validation in accordance with ICH M10 guidelines for quantitative LC-MS/MS PK methods with minimal supervision. Experience working with and extracting pharmaceuticals and biopharmaceuticals (small/large molecule) from biological matrices (e.g. serum, plasma and urine) and/or pharmaceutical matrices.Performing analytical services for customers in the pharmaceutical and bioanalytical sectors in accordance with GLP, GCP and GMP guidelines.Ability to work unsupervised, planning and performing analytical work, generating and interpreting data and generating reports when required. Ability to problem solve autonomously without relying on specific written procedures; draw on literature to formulate best plan of action involving staff from other teams as necessary.Confident communicating directly with clients; establish requirements and report outcomes; implications of the results generated; formulating and advising optimum strategies to tackle problems. Training and/or mentoring of junior staff.Demonstration of commercial awareness supporting Business Development in the generation of quotes within the technical area of expertise.Ensuring studies meet the required quality standards and that are fit for purpose according to clinical phase and regulatory expectations. Ability to learn new techniques within the laboratory and work in new areas if required.Ability to work as part of a team with good written and verbal communication skills.WHAT WE OFFERJoin Intertek and become part of our global network of inspiring and entrepreneurial colleagues. We are a global family that values diversity and we thrive working together with precision, pace, and passion. We are working to make the world Ever Better, ensuring the quality, safety and sustainability of products and services used by millions of people around the world.Competitive salary/benefitsDevelopment and career opportunities around the GlobeWorking in a highly motivated team and dynamic working environmentWe are an Equal Opportunity Employer and are committed to creating an inclusive workplace. We do not discriminate against applicants, and all qualified individuals will receive consideration for employment regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex, or sexual orientation.We are committed to fair and equitable pay and are proud to be a Real Living Wage employer, ensuring our colleagues are compensated in line with independently assessed living standards. We are also committed to providing reasonable adjustments throughout the recruitment process and employment to support candidates and employees with disabilities or special needs.Intertek operates a preferred supplier arrangement, and we do not accept unsolicited approaches from agencies.

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We sort trainee data scientist jobs with better pay, shorter commutes and sooner starts in mind.Explore your options and find your next move.

You’ll work with a European client in financial services, applying advanced modelling and coding to drive real decisions.

We’re looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you!. Performing data cleaning, feature engineeri

We’re looking for an experienced Data Scientist to join a major UK banking client, developing machine learning, NLP and Generative AI solutions that deliver measurable business outcomes. DataScientist #GenerativeAI #BigQuery #MachineLearning #Hiring.

Connexai in Manchester is looking for a Data Scientist to join the growing LLM team. You will train models, create datasets and push performance boundaries for production-ready large language models powering real enterprise applications.

Data Scientist (LLMs & Conversational AI). We’re hiring two Data Scientists to join our LLM team, helping design, improve, and evaluate the systems that power our Conversational AI products in production. The focus is on defining, interrogating and solving complex modelling and evaluation problems

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

At AJ Bell, we believe investing should feel good.Making that possible means continually understanding our customers, our business and the opportunities to improve how we work.As a Senior Data Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight.

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

Sign in to set job alerts for “Data Scientist” roles. Senior Data Scientist - Machine Learning/AWS - Manchester. Data Scientist - Monitoring & Alerting Infrastructure.

DataScience #DataScientist #Python #SQL #MachineLearning #NLP #Databricks #ManchesterJobs #FinancialServices #Hiring. Data Lake, Azure, Databricks, Python, ML, SQL, SAS and Snowflake. Most data science roles keep you in one market.

Data Scientist who will also act as a Technical Lead.

Jas Gujral in Manchester is seeking a Data Scientist with 7–10 years of experience. You'll work in a multidisciplinary, highly technical environment, developing scalable data mining and ML solutions. You will bring NLP expertise and the ability to analyse large data sets to uncover new insights.

Made Tech is seeking a Senior Data Scientist (SC cleared) to join the Technology department across UK office hubs. This permanent role combines hands-on data science with client-facing consultancy to help public sector clients use data and AI responsibly. You will work with Python, ML and NLP, desig

Awin is hiring a Senior Data Scientist in Greater London to lead end-to-end ML initiatives, forecasting, and recommendation systems.

MRJ Recruitment Limited seeks a Lead Data Scientist to shape and deliver high-impact ML and AI capabilities for a fast-moving B2C marketplace. You will lead agentic search, rankings and recommendations, partnering with Product, Engineering and Commercial teams to translate data into measurable outco

Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional. Experience working with large or complex datasets and performing data discovery, validation and exploratory analysis. Advanced Python skills for data analysis and mod

AND Digital Limited is recruiting a Contract Data Scientist in Manchester to drive analytics for Sales, Marketing and Finance. You will productionise data pipelines, collaborate with commercial teams to drive adoption and impact, and leverage advanced Power BI skills and ML experience.

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.

AJ Bell is seeking a Senior Data Scientist to turn complex business questions into actionable insights using Python, SQL and machine-learning techniques.You’ll work with senior stakeholders to understand the underlying question, explore data, and translate analysis into practical decisions that gu

A leading data analytics firm is seeking a Data Scientist in Manchester. This role requires strong Python and SQL skills and involves data modeling and analysis across European portfolios. Candidates should possess a degree or master's in relevant fields and have 1-2 years of experience. Join a supportive and meritocratic workplace with excellent benefits, including healthcare and bonuses. The position is full-time and requires in-office work three days a week, with opportunities to work on unique projects in financial services. #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

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

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

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

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

Location: Manchester, Exchange Quays Working pattern: Hybrid- 2 days a week on site Department: Technology Salary: Competitive, dependent on experience We're looking for a Data Scientist to join an ambitious technology business in Manchester, working at the intersection of data science, AI, behavioural insights and technology. You'll join the Insight Services team, working alongside experienced Data Scientists to develop the data pipelines, analytical models and AI products that sit behind a growing technology platform. This is a hands‑on role combining data science, R development and data engineering in AWS. You'll have the opportunity to work across the full data lifecycle, from collecting and transforming data through to building models, deploying solutions and supporting them in production. Around 80% of your time will be focused on AI product development, data engineering and product enhancement, with the remaining 20% focused on Level 3 technical support. • Build and maintain data pipelines that collect, clean and transform customer and internal data, • Develop data analysis and statistical models using R, • Build, test and maintain machine learning and predictive models, • Develop and deploy R‑based applications and data workflows within AWS, • Work with structured and unstructured data to identify trends, patterns and insights, • Build and maintain ETL/ELT pipelines and data workflows, • Work with AWS services including S3, RDS, Lambda, ECS, Glue and CloudWatch, • Monitor data quality, pipeline performance and production issues, • Design and maintain data models and database schemas, • Write efficient SQL queries and work with relational databases, • Use Git, testing and version control to produce reliable and maintainable code, • Create data visualisations and communicate findings to technical and non‑technical audiences, • Translate business challenges into analytical questions and evidence‑based solutions, • Support behavioural and risk segmentation, research and cost analysis, • Provide Level 3 technical support, investigating and resolving complex application and data issues, • Contribute to code reviews, technical documentation and continuous improvement We're looking for someone with around 1-2 years of commercial experience who has exposure to both the analytical and engineering sides of data. You'll need: • 1+ years' commercial experience in data analysis or data science, • 1+ years' commercial experience developing in R using RStudio / Posit, • Strong working knowledge of statistics and machine learning, • Hands‑on experience building or maintaining ETL/ELT data pipelines, • Practical experience working with AWS, ideally including S3 and a managed database service such as RDS, • Strong SQL skills, • Experience working with a relational database such as MySQL, PostgreSQL or SQL Server, • Experience writing reusable, tested code, • Experience using Git and version control, • R experience is mandatory for this role., • MySQL, • Python, • Docker and containerisation, • CI/CD pipelines, • Terraform or CloudFormation, • Airflow, AWS Step Functions or other workflow orchestration tools, • Building APIs or packaging models in R, such as plumber or R packages, • SaaS or software product environments, • Customer‑facing or application support, • Social Housing data, research or analytics You'll be analytical, curious and comfortable getting hands‑on with data and code. You'll enjoy solving problems, understanding how data can improve decision‑making and learning new technologies. You'll also be comfortable explaining technical concepts to non‑technical colleagues and working collaboratively with more experienced members of the team. We're particularly interested in people who demonstrate: • Strong analytical and problem‑solving skills, • Good mathematical and statistical ability, • Excellent attention to detail, • A passion for data science, software development and well‑engineered data systems, • Strong written and verbal communication, • A willingness to learn and take feedback, • The ability to work independently and take ownership of tasks A degree in Data Science, Computer Science, Mathematics, Statistics or another technical discipline would be beneficial, although equivalent commercial experience will also be considered. You'll be joining a growing technology business where data science and AI are central to the products being developed. The role offers the chance to work across R, machine learning, AWS, data engineering and AI, while learning directly from experienced Data Scientists and contributing to products used to solve real‑world challenges across sectors including Social Housing, Local Government and Healthcare. If you're an early‑career Data Scientist who wants to build strong commercial experience across both data science and data engineering, this is an opportunity to develop a broad and highly valuable technical skillset. #J-18808-Ljbffr

Translate business challenges into well-defined data science and AI problems. Strong experience in problem framing for data science and AI use cases. Data Science | Classical Machine Learning | Large Language Models | AI/ML Metrics | Prompt Engineering | RAG | Experiment Design | Model Cards.

Organisation A J Bell Organisation A J Bell Locations Manchester, UK Application Deadline 30 days remaining 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