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White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models. What you’ll do * Lead the development of new deep learning approaches to advance our current underwriting models, which form the heart of our lending business. Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation. * Prioritise and own the roadmap for this work. Balancing R&D with in-market results, you will drive ideas from prototypes through to production. * Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates. * Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. * Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for * Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers. * A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. * Experience producing and managing reliable and maintainable code in Python in a team setting, including code reviews and setting software engineering best practices * Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. * Familiarity with both pre-training and fine-tuning of large-scale models * Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. * A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. * A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham or London office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • 2-4 years of experience in Data science/Machine learning models from coding to deployment., • Work with datasets using Python or R, SQL, No SQL., • Assist in developing predictive and statistical models, • Write and optimize queries using SQL., • Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability., • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Our Business:\nSelwood is the leading pump rental solutions company in the UK. We have an outstanding reputation for exceptional customer service backed by one of the largest fleets of quality pump products. Each customer and each project is unique and our deep technical knowledge means we are proud to deliver a bespoke and genuine 24/7, 365 days-a-year service.\nWith an unrivalled depth of technical pumping expertise; a pedigree spanning seven decades and employing a wide variety of skilled staff throughout our nationwide network of branches, our ever-growing business is one of the largest privately owned companies serving the Water, Environmental and Construction industries.\nAbout The Role:\nWe are looking to welcome a Quality Lead to be based out of our Branch in Nottingham and to cover the branches and sites in the region.\nThis role will be partnering with stakeholders and their designated area to drive quality performance, reduce internal failures, support customer satisfaction and strengthen compliance with ISO statutory, regulatory and customer requirements. This role combines front-line quality support with business-facing engagement, ensuring quality becomes part of everyday operational decision making.\nIt is essential that you have extensive knowledge using ISO9001 to be considered for this position.\nMain Responsibilities:\n * Act as the dedicated quality lead within designated business areas and provide on the ground support to embed quality into operational planning, equipment preparation, installation work and project delivery.\n * Leading teams in investigating quality incidents, supporting root cause analysis and preventative actions to improve operational performance and prevent reoccurrence.\n * Proactively lead quality initiatives within the designated region to anticipate issues, prevent defects and improve delivery.\n * Support customer meetings, audits and site visits within the region.\n * Conducting periodic internal reviews or audits to ensure that compliance with external standards and internal procedures are followed.\n * Analysing non-conformances and producing reports, statistics and recommendations as appropriate.\n * Creating reviewing and amending internal processes as appropriate to maintain compliance with standards and best practice, continually driving improvement throughout.\nQualifications & Experience\n * Comfortable working in a fast-paced, high-pressured environment with the ability to balance multiple workstreams, whilst also working with several different clients and building partners in parallel; ensuring smooth efficiency and strong output is achieved.\n * Recent and relevant experience in similar role, ideally within Construction / Utilities / Pump / Plant Rental.\n * Strong quality investigation and RCA capability.\n * Detailed knowledge and experience with ISO9001 Internal Auditor or Lead Auditor.\n * Compliant accurate record keeping.\n * Ability to act proactively whilst maintaining a methodical, attention to detail approach.\n * Excellent communication skills\n * Knowledge of Health & Safety legislation and good practice.\n * A full UK driving licence is required for this position due to the role requiring the need to travel to and from multiple locations.\n * Ability and willingness to travel within the UK as and when necessary and staying away from home time to time.\nWhat we can offer you:\nWe understand balancing work and life commitments isn’t always easy, that’s why we’ve designed our benefits package to support you in all areas of life.\n * Competitive salary\n * Company car as an essential user\n * Eligible for company bonus scheme (annual and quarterly payments)\n * Medicash Scheme – medical expenses scheme (access to 24hour online GP services, discounted gym memberships)\n * Pension scheme with contribution based on total earnings not just salary\n * 25 days holiday + 8 Bank Holidays\n * Increasing annual leave entitlement with long service\n * 3x your annual salary life insurance (DIS)\n * Support for development and training\n * Employee assistance programme (EAP) & access to Mental Health first aiders\n * Employee discount scheme (discounts/vouchers for supermarkets, high street shops, holidays and more)\n * Employee referral scheme\n * Hybrid working (i.e., working from home and in the office) pattern.\nThis role is not open to Agencies - Please no calls or emails - Thank you.\nEDI Statement\nWorkdry International Ltd is committed to encouraging equality, diversity, and inclusion among our workforce, and eliminating unlawful discrimination.\nWe value transparency, respecting others and understanding differences. We give full and fair consideration to all applicants, regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.\nAs part of your recruitment journey, we are happy to support requests for reasonable adjustments

Data Scientist (Analytics, Validation & QA) Location: UK (Remote / Hybrid) About Gifftid: Gifftid is building a platform that enables better decision-making by transforming fragmented business data into structured, meaningful intelligence. Many SMEs operate with strong fundamentals but lack the visibility required to access capital, partnerships, and growth opportunities. Gifftid brings together multiple data sources and applies structured analysis to support more informed, consistent, and transparent decision-making. About the Role: We are looking for a Data Scientist to focus on analysing, validating, and refining data outputs across the platform. You will play a key role in ensuring that analytical models, signals, and outputs are accurate, reliable, and meaningful, supporting the overall integrity of the platform. This role combines data science, analytical thinking, and quality assurance. Key Responsibilities: Analyse and interpret data from multiple sources; develop and refine analytical models and scoring approaches; validate outputs to ensure accuracy, consistency, and reliability; identify anomalies, inconsistencies, and areas for improvement; support the development of metrics and reporting frameworks; collaborate with engineering teams to improve data pipelines and outputs. Requirements: 5+ years experience in data science, analytics, or related fields; strong Python skills (pandas, numpy); solid grounding in statistics and data analysis; experience working with structured and semi-structured data; ability to translate complex data into clear insights. Nice to Have: Experience with financial, operational, or business datasets; familiarity with model validation or QA processes; exposure to time-series or performance analytics. What We’re Looking For: Strong analytical thinker with a critical mindset; ability to question assumptions and validate outputs; high attention to detail and commitment to data integrity. Why Join Gifftid: You will help ensure that data and analytics are not just produced, but trusted and usable, contributing to a platform designed to improve how decisions are made in the real economy. Apply: Contact | Website:

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

Job Title:Contracts Manager Are you the right applicant for this opportunity Find out by reading through the role overview below. Salary: Negotiable depending on experience Benefits: 28 days annual leave (inclusive of Bank Holidays) rising by a day per year up to 5 years, option to buy further weeks annual leave. Company pension, free parking and cold/hot drinks. Hours: Monday to Thursday 07:45 to 16:30 with 30 min for lunch. Friday 07:45 to 14:30 with 30 min lunch. Role Purpose Reporting to the Chief Operating Officer you will lead a team of engineers and all aspects of the Contracts Department, you will coordinate resources and communicate effectively with customers, suppliers and internal stakeholders ensuring projects are delivered on time, within budget, and to the highest quality and safety standards. The Contracts Manager is a key member of the management team, you will collaborate with all areas of the business and should be prepared to take initiative, whilst continually improving processes and operational activity. Job Duties • Maintain the highest standard of customer relationship, service and professionalism at all times., • Work with all relevant staff and departments to process all contracts in a diligent manner and within the accepted time scales, costs, customers instructions and Codes of Practice., • Visit sites as required and to liaise with customers., • Progress current contracts and chair weekly production meetings liaising with relevant departments to ensure customer requirements and installation and deliveries are met on time., • Liaise with clients and engineers daily provide excellent service with updates, queries and problem solving., • Ensure client correspondence in virtual folders is updated., • Oversee the updating of the Schedule it spreadsheet by adding installation dates and allocation of engineers to contracts., • Monitor the progress of all installations and site attendance on a daily basis., • Organise holiday/sickness cover with Service & Maintenance Manager, • Liaise with Service Manager staff to best manage the time of civil & installation engineers, • Telephone support including contracts department mobile. Including weekend rotation when engineers are on site, • Ensure all new orders are added to the contract master spreadsheet and dates are updated., • Ensure all spreadsheets are updated on a regular basis (Contract master, Contract activity sheet, Contract milestone, Virtual contract), • Deal with short shipments and implement preventive actions where required, • Maintain and update the Fabrication schedule spreadsheet., • Attend meetings and conference calls when & where applicable., • Complete accounts tasks such as checking and processing timesheets and expenses., • Oversee the completion of invoicing, • Ensure special parts are available from production/purchasing to meet requirements, • Produce accurate information to enable your team to carry out their work in the most efficient & detailed manner available to them., • To manage and control:, • A master production / contract schedule, • A weekly production and disseminated to relevant departments, • A weekly production meeting, • To take appropriate action, either verbally or written to ensure each contract is administered smoothly and trouble free., • To monitor the work performance of all site engineers in association with the Service Department Manager., • Team Management: including recruitment, motivation, performance management, coaching & development as per company policies and procedures., • Organise workload and using logistical statistics to plan and organise, raise and assign work for Contract Coordinators each week., • Support Contract Coordinators with unforeseen events on site, • Support Contract Coordinators, where required in sourcing materials / Hire equipment during unforeseen events., • Process Improvements: initiate and implement changes to processes and systems as required., • Comply with all Company Rules, Regulations and Legal Requirements., • Minimum of 3 years of installations and project management., • Strong customer engagement and stakeholder management skills., • Clear communication style with the ability to partner with all levels of the business., • Able to motivate and manage in an effective & pro-active manner., • Ability to work under pressure and handle multiple tasks simultaneously., • Comfortable with Microsoft Packages and ERP systems (Sage, Oracle, SAP etc.)., • Health & Safety NEBOSH or IOSH Certified an advantage., • Certifications: SMSTS / CSCS., • Good understanding of relevant legislation, regulations and standards., • Willingness to travel. Section 7 HASAWA 1974 Employees legal duties under Health & Safety at work act 1974 states that all employees should take reasonable care of himself and of other persons who may be affected by his acts or omissions at work. xrnqpay Every employee shall co-operate with their employer in relation to any health and safety issues. Section 8 HASAWA 1974 No person shall intentionally or recklessly interfere with or misuse anything provided in the interest of health, safety and welfare

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity 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. Key Responsibilities • 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 Essential Skills & Experience • 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 Desirable Skills • 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 Security Requirements You must hold active UK Developed Vetting (DV) clearance.

We offer undergraduate courses in BSc (Hons) Mathematics with Applied Mathematics (2+2, 4+0) and BSc (Hons) Statistics (2+2, 4+0) and have active and cutting-edge research in mathematics and its applications in computational mathematics and simulations, applied mathematics modelling, nonlinear scien

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EHS Manager Location: UK (with travel to ABP worksites and depots) Contract: Full-time, Permanent Are you an experienced EHS professional with a background in manufacturing or construction and a passion for driving high standards across safety, health and environmental performance? If you have strong working knowledge of ISO standards, CDM Regulations, this could be the ideal next step in your career. The Anglian Building Products division working from a nationwide network of depots & sites, specialises in the delivery of large scale window & door refurbishment projects, encompassing other construction related activity for social housing providers, local authorities & the MOD We are looking for a proactive and influential EHS Manager to join the ASHI/Anglian Group EHS team, supporting Anglian Building Products (ABP) across multiple worksites and depots. This is a critical role with real impact, ensuring safe operations, regulatory compliance, and continuous improvement throughout the organisation. About the Role The ASHI/Anglian Group EHS team plays a key role in supporting and coordinating with ABP’s Technical, Compliance, and SHEQ functions. As EHS Manager, you will be responsible for: Key Responsibilities Conducting planned Health & Safety/EHS inspections across ABP contract worksites, depots, and temporary compounds, following agreed schedules and standards. Producing detailed inspection reports, including performance rankings, for the ASHI/Anglian Head of Group EHS and the ABP Head of Technical & Compliance. Monitoring, measuring, analysing, and evaluating safety and environmental performance through systematic audits. Identifying incidents and nonconformities, implementing corrective actions, and driving a culture of continuous improvement. Exercising authority to immediately stop unsafe work in the event of a serious breach, and escalating appropriately. Supporting the transition from hardcopy reporting to the Evotix digital system. Collating completion statistics for ladder and hop equipment registers, with ongoing migration to Evotix formats. Overseeing accident and near-miss reporting within Evotix, producing monthly performance statistics, commentary, and improvement recommendations. Preparing monthly health, safety, and environmental performance data for Group and ABP Board papers. Ensuring ABP installers participate in relevant Group health & safety initiatives such as training, toolbox talks, annual face-fit testing, and asbestos emergency procedure readiness. Supporting toolbox talks and monitoring completion statistics for ABP installation teams. About You We’re looking for someone who can build strong relationships across teams, influence safe behaviours, and bring expertise to the role. Essential Requirements Minimum 3 years’ experience in a more senior EHS role (6+ years preferred). Background in manufacturing or construction. Strong working knowledge of ISO standards and CDM Regulations. Level 3 NEBOSH qualification with suitable/demonstrable experience as a minimum (Level 6 NEBOSH Diploma or similar preferred). Experience conducting audits, risk assessments, and incident investigations. Confident decision-maker with the ability to stop unsafe work when necessary. Strong communication skills, both a board level and grassroots. Had previous experience with behavioural change/hearts & minds. Why Join Us? Competitive Salary 31 days holiday (increasing with service within 2 years), plus an additional paid day for your birthday with the option to buy more holiday via salary sacrifice Pension – with up to 4 x salary & income protection, with the option to potentially save on tax and National Insurance via our salary sacrifice arrangement Comprehensive health & well-being benefits including access to in-house occupational health & well-being resources, discounted gym memberships, employee assistance programme, & mental health resources Heavily discounted group discount scheme on all products Salary sacrifice benefits – enjoy perks such as pension, cycle to work, electric car purchase, and additional annual leave, while potentially reducing your tax and NI contributions Career development and continuous learning opportunities Our Company is committed to monitoring & aligning its Policies with up-to-date Government guidance on reducing the spread of respiratory infections in the workplace. Through the Company’s value of “Succeed Together” we are committed to Equality, Diversity and Inclusion. We recruit the ‘best person for the job’ regardless of any protected characteristics as defined by the Equality Act 2010 creating an inclusive working environment and culture for our employees

Job Title: Junior Data Scientist Location: Nottingham Salary: £33,000 - £38,000 Type: Permanent || Full Time Hours: Monday – Friday || On-site Overview The Flavour Network is in close partnership with a fast-growing, data-driven manufacturing business to recruit a Junior Data Scientist. This is an exciting opportunity for someone early in their career to join a growing data team and play a key role in supporting data-led decision-making across the business. As the Junior Data Scientist, you will work across multiple departments, analysing data, building models, and generating insights that directly impact business performance. This role is ideal for a curious, motivated individual eager to learn and develop in a fast-paced, collaborative environment. In return, you’ll receive a competitive salary, learning and development support, a wellbeing allowance, access to team events and employee perks, birthday leave, and the opportunity to grow within a scaling business. Key Responsibilities for the Junior Data Scientist: • Collect, clean and preprocess data from multiple sources, • Conduct exploratory data analysis to identify trends and insights, • Support the development and validation of statistical and machine learning models, • Create reports, dashboards and visualisations to communicate findings, • Collaborate with stakeholders across the business to understand requirements, • Deliver actionable insights to support commercial decision-making, • Document data processes and methodologies to ensure accuracy and consistency Requirements for the Junior Data Scientist: • Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, • Experience with Python, R, or similar for data analysis, • Familiarity with data visualisation tools (e.g. Tableau, Power BI), • Working knowledge of SQL and relational databases, • Strong analytical and problem-solving skills, • Excellent communication skills, with the ability to explain data to non-technical stakeholders, • Eagerness to learn and develop new skills, • Proactive and adaptable approach, • Internship or project experience in data analysis or modelling is desirable, • Exposure to cloud-based platforms is desirable, • Experience with version control tools such as Git is desirable If you are a motivated, detail-oriented graduate or junior professional looking to build a career in data science at a growing business, we would love to hear from you