Data Scientist
On site
Blackburn, United Kingdom
£ 50,000 / year
Full Time
25-03-2025
Job Specifications
Role: Data Scientist
Location: Blackburn, BB1 2FA
Contract: Full-Time / Permanent
Salary: £40,000 – £50,000 (Dependant on experience) & Bonus Scheme
Company: EG Group
About the Role:
EG Group are on the lookout for a skilled and motivated Data Scientist to join our team and accelerate the development, deployment and adoption of machine learning models within the business. The successful candidate will be a curious, innovative, and pro-active problem solver who can leverage their experience in data engineering, machine learning and GenAI to deliver novel solutions to the business.
Within our team, we value ambition and continuous learning. This role offers significant growth opportunities for driven individuals, including exposure to impactful projects, collaboration with cross-functional teams, and the chance to shape the future of data-driven decision-making within the organization.
What you’ll be doing:
Build robust and scalable pipelines to extract, transform, and load data for analytics and machine learning workflows.
Ensure data quality, integrity, and accessibility through automated data quality checks and validation processes.
Translate complex business logic and strategies into actionable data science solutions.
Utilise a range of statistical methods and machine learning algorithms to develop predictive models and forecasting solutions that address business challenges.
Deploy, monitor and maintain models in production using best practices in MLOps.
Lead experimentation initiatives (e.g., A/B testing, pilot programs) to validate data-driven hypotheses.
Use Power BI or Python-based visualizations to translate analyses into clear, actional business insights that drive decision-making.
Identify and explore new opportunities to leverage data and software for improving products, processes, and customer experiences.
Collaborate within an Agile methodology, providing time/resource estimates for proposed projects and assisting in the development of colleagues’ data science skills.
This list is not exhaustive and may be added to or amended from time to time.
What we’re looking for:
Essential: Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Essential: Minimum of 2 years of experience in a Data Science role.
Essential: Proficiency in Python and strong command of SQL.
Essential: Experience with Git for version control.
Essential: Proficiency in data visualization tools, preferably Power BI.
Familiarity with Azure DevOps or similar collaborative development tools.
Excellent communication and stakeholder management skills, with the ability to present complex ideas clearly to diverse audiences.
Proactive and solution-oriented mindset, with the ability to identify and act on opportunities for improvement.
Why Join EG Group:
Performance Based Bonus Scheme
Flexible working hours (8am – 10am start, 8-hour working day)
Access to Apprenticeships and accredited qualifications
Career development and progression opportunities within a global organization.
ASDA Discount Card – 10% off all ASDA stores
Free Secure Car Parking
Waterside Café - freshly prepared meals at affordable prices
Dress Down Fridays
Prayer and Ablution Facilities
Work Anniversary Rewards
Free Eye Test
Who are EG Group?
EG Group is a leading global convenience retailer, operating a wide range of brands across multiple sectors including fuel, foodservice, and grocery retail. With a presence in up to 9 countries and a commitment to innovation and customer service, EG Group continues to expand its portfolio and reach. Our company is focused on delivering value to its customers, partners, and stakeholders through efficient operations and strategic growth.
Please note - the successful applicant will be subject to a DBS check which will be funded by EG Group.
About the Company
Based in Blackburn, Euro Garages was founded in 2001 by brothers Mohsin and Zuber Issa with the acquisition of a single petrol filling station in Bury, Greater Manchester. Since then, Euro Garages has established itself as one of the UK’s fastest growing and most recognisable forecourt operators, with an expanding portfolio of 341 freehold-owned sites located throughout mainland UK. Alongside an innovative approach to roadside retail, Euro Garages has forged high-profile relationships with nationally and globally recognised... Know more
Related Jobs
- Company Name
- Next
- Job Title
- Data Scientist
- Job Description
- Job Description Data Scientist Let's Take it On £29,000 - £46,000 Label Operations Head Office, Leicestershire Working Pattern: Typically 5 days in office, with core hours flexible between 8am-6pm. PLEASE NOTE: We are only accepting applications from candidates who submit a cover letter to outline how your skills align with the role requirements. At NEXT, we’re not only one of the UK’s largest fashion retailers. We’re also one of the largest listed companies, full-stop. We sell our products and thousands of world-famous brands, both in-store and online. What’s more, we’re growing. Fast. And it’s the kind of growth and investment that is exciting for everyone in our business. We work with over 600 brands who all sell their products on the NEXT website, from sports brands Nike and Adidas to premium fashion brands Ralph Lauren and Hugo Boss. The branded business at NEXT represents a third of the group's online turnover. The Branded Operations team is responsible for optimisation of product & imagery data from our 600 brands. We're looking for talented individuals who love to solve problems, analyse data and find new ways of doing things to drive real business value. From experts looking at flows of product data and imagery to individuals optimising how items sell on our website, our team is a diverse collection of highly motivated, innovative people. Your role Process Optimisation Avoiding problems occurring you implement processes that work. Exploiting AI to consume data quickly you will be at the forefront of developments that drive better processes. System Optimisation Exploring the latest technologies and selecting the right tools for the job. Seeking opportunities to modernise and de-risk unsupported systems. Knowledge Optimisation Seek, enable and facilitate learning opportunities. Support colleagues by sharing knowledge and understanding. Networking To build, maintain and grow relationships with all relevant internal and external stakeholders. Giving you access to the people required to deliver your personal and business goals. The day to day After spending time understanding the challenges that have been presented to you, you will lead projects and improvements from inception to completion. You will work on collating and refining the data sets required for your solution. You will perform preliminary analysis of the data before producing models to provide predictions. About You We are looking for an individual who loves to roll up their sleeves and solve problems, taking ownership and driving change. We are excited to bring someone on board who is brave and offers innovative ideas, and is not scared to challenge the status quo. By channeling innovation in an assertive and professional way, this person could be pivotal when implementing changes and improving processes. Your enthusiasm knows no bounds, and you're not one to sit back and wait for opportunities to come knocking. Proactive and self-aware, you understand the power of initiative and seize every chance to make an impact. Learning new systems and tools doesn't faze you - you're eager to pick up new skills and adapt to whatever comes your way. But it's not just about numbers and algorithms for you. You're a true people person, relishing the art of relationship building. Whether it's forging connections with internal teams, external stakeholders, or your peers, you excel at fostering collaborative environments where ideas flourish. Communication is your superpower. You have a knack for distilling complex processes into easily digestible insights, effortlessly bridging the gap between technical jargon and layman's terms. Your ability to convey a simplified view to both technical and non-technical audiences sets you apart. You hold a degree in a numerical based subject. Ideal, but not essential Understanding of Machine Learning techniques. Experience with data visualisation tools e.g. PowerBI, SSRS, Tableau. Familiarity with Google Apps, Gmail, Drive, Sheets. Your Benefits We’ll discuss more of what you’ll get when you work for Next at interview, but here’s an overview of what you can expect: Profit–related bonus 25 days holiday and the opportunity to buy more Contributions into a pension scheme Life assurance Sharesave scheme, which allows you to invest in Next and claim your share of our success A fantastic restaurant, coffees shops and juice bar Staff shop Free parking on-site, including car sharing 25% staff discount on most Next products – either in our stores or delivered directly to your desk On-site nursery (salary sacrifice scheme) in Leicester National and local discounts on goods and services A digital GP healthcare service Sponsorship Candidates wishing to apply who would require sponsorship for this role will be required to meet the Home Office sponsorship requirements. For further information please see: https://www.gov.uk/skilled-worker-visa . We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email headoffice_careers@next.co.uk (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail. We encourage early applications for our roles, as our recruitment process begins as soon as the role is advertised. If we successfully fill the position, this advert may close earlier than planned. About Us You know Next, but did you know we’re a FTSE-100 retail company employing over 35,000 people across the UK and Ireland. We’re the UK’s 2nd largest fashion retailer and for Kidswear we’re the market leader. At the last count we have over 500 stores, plus the Next Online and it’s now possible to buy on-line from over 70 countries around the world! So we’ve gone global!
Leicester, United Kingdom
On site
Full Time
26-03-2025
- Company Name
- Octavius Finance
- Job Title
- Data Scientist – Equity Investment Team
- Job Description
- A leading investment management firm in London is looking for a Data Scientist to join their Equity Investment Team. The role involves integrating alternative data and analytics into investment strategies to generate alpha, working closely with portfolio managers and analysts. Key Responsibilities: Lead research efforts with analysts and portfolio managers to integrate alternative data into investment strategies. Review reports and attend meetings to refine investment theses and provide new, data-driven insights. Analyse alternative datasets, build models, and create actionable signals to forecast key growth drivers and financial performance. Deliver data-driven insights to enhance current strategies and generate new investment ideas. Identify new data sources and develop predictive signals to uncover key growth drivers. Requirements: 3+ years in data science or quantitative research, preferably in investment management. Proficiency in Python, R, or SQL. Experience in machine learning, predictive analytics, and handling large datasets. Experience with alternative data (e.g., social media, transaction data, satellite imagery). Ability to present complex insights to both technical and non-technical stakeholders. Strong team player, able to work cross-functionally with investment teams. Why Join Them? You will have the chance to work alongside top-tier investment professionals and data scientists. The ability to apply advanced data science techniques to influence and drive investment strategies. Join a collaborative and supportive team where innovation and creativity are encouraged. Opportunities to develop your skills in a dynamic and fast-paced industry. Gain direct experience working with portfolio managers, analysts, and alternative data sources. Please apply to quantresearch@octaviusfinance.com
London, United Kingdom
On site
Full Time
26-03-2025
- Company Name
- Amazon
- Job Title
- UK 2025 Data Engineer Internship
- Job Description
- Description We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. 2025 UK Data Engineering Internship Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations, and collaborate with stakeholders to answer key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet? If this describes you, consider joining us as an intern. Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate everyday on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to affect the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real world setting. Key job responsibilities Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources Design data schema and operate internal data warehouses and SQL/NoSQL database systems Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions Monitor and troubleshoot operational or data issues in the data pipelines Drive architectural plans and implementation for future data storage, reporting, and analytic solutions Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem A day in the life Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e g MapReduce, MPP architectures, NoSQL database. We’re looking for Data Engineer interns to join one of our many lines of business. About The Team If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern. Competitive pay Impactful project and internship/role deliverables Networking opportunities with fellow interns Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions. Mentorship and career development If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies Internship start dates vary throughout the year. Internship ideal length is 6 months. We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work. Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers Basic Qualifications Work 40 hours/week minimum and commit to 6 month internship maximum Preferred Qualifications Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Business EU SARL (UK) - H91 Job ID: A2917579
London, United Kingdom
On site
Full Time
26-03-2025
- Company Name
- Parliament
- Job Title
- Data Analyst (Library and Digital Team)
- Job Description
- Cardiff Job Summary We are looking for a Data Analyst to work in Senedd Research. This is an excellent opportunity to help us make our research outputs more engaging and accessible by further developing our use of data visualisation. The role involves understanding statistical and numerical information and the ability to translate complex subjects into innovative visual formats such as infographics and maps. Senedd Research provides independent, impartial, specialist parliamentary research to all Members of the Senedd to ensure they are able to support their constituents and participate in Senedd business. It is a fast-paced environment which provides opportunities to work on a range of policy areas with a high political and policy profile. As part of the Library and Digital team you will be working closely with colleagues who are specialists in data analysis, data science, mapping, publishing, systems, information management and library services. The role supports Senedd Research and the Senedd Commission by exploring and visualising data in a meaningful way to a range of technical and non-technical audiences, with Members being the primary audience. The Research teams support each other and you will also work with the Financial Scrutiny Unit, giving you the opportunity to work with finance and statistics specialists. You will also be supporting other Commission services including committee teams and communications by providing re-usable, engaging visual content and technical expertise e.g. creating new content for the website which displays complex information in easy to understand ways. The role will enable us to meet increased demand for data visualisations, which are being used more frequently for a variety of outputs including committee briefings, web pages, research articles, static infographics, interactive tools for the website, animations, dashboards and maps. This role will also help investigate how developments in assistive technology can safely enhance our processes and services. You will need experience in data analysis, data visualisation and ideally data science methods. You will need to be able to demonstrate practical knowledge of data analysis and data visualisation techniques. You will have the ability to support and develop others with varying needs and to communicate technical outputs to a range of stakeholders, adapting content appropriately. The role provides opportunities for external engagement and collaborative working with other legislatures, institutions and stakeholders both in the UK and internationally. Job Description This is a specialist data analyst role which is essential to progress the Senedd Research digital information strategy for the Sixth and Seventh Senedd. You will be working with our senior data scientist and Library and Digital team colleagues to develop our data analytics, data visualisation and data science capability and talent within the service and wider organisation. Key Tasks: Taking individual responsibility for producing high quality data visualisations which translate ideas into visual presentations that successfully communicate messages to non-specialist audiences on a wide range of subject areas; Independently developing your skills in Excel, data science, mapping and other software packages that can be used to analyse and present your own work; Providing briefing to respond to enquiries from Senedd Members connected with constituency work, plenary or committee business as part of our confidential and impartial enquiry service; Working proactively across teams providing research support as required and encouraging others to make use of data visualisation techniques while developing skills within the service; Enhancing our digital and print outputs making them more interesting, engaging and accessible by further developing data visualisation techniques, including dashboards, mapping and infographics. Developing our internet and intranet pages unifying our research and analyses to enable MS and their staff to easily find information they need in a more accessible way and provide a better understanding of issues; Developing links and identifying opportunities for sharing information with your counterparts in other legislatures, academics, external stakeholders and others connected with data visualisation. You will provide research services in a range of subject areas within the team in response to Senedd Members’ priorities, and work flexibly across the service when needed. You may be required to move between teams if required. This is a specialist data analyst role which is essential to progress the Senedd Research digital information strategy for the Sixth and Seventh Senedd. You will be working with our senior data scientist and Library and Digital team colleagues to develop our data analytics, data visualisation and data science capability and talent within the service and wider organisation. Key Tasks: Taking individual responsibility for producing high quality data visualisations which translate ideas into visual presentations that successfully communicate messages to non-specialist audiences on a wide range of subject areas; Independently developing your skills in Excel, data science, mapping and other software packages that can be used to analyse and present your own work; Providing briefing to respond to enquiries from Senedd Members connected with constituency work, plenary or committee business as part of our confidential and impartial enquiry service; Working proactively across teams providing research support as required and encouraging others to make use of data visualisation techniques while developing skills within the service; Enhancing our digital and print outputs making them more interesting, engaging and accessible by further developing data visualisation techniques, including dashboards, mapping and infographics. Developing our internet and intranet pages unifying our research and analyses to enable MS and their staff to easily find information they need in a more accessible way and provide a better understanding of issues; Developing links and identifying opportunities for sharing information with your counterparts in other legislatures, academics, external stakeholders and others connected with data visualisation. You will provide research services in a range of subject areas within the team in response to Senedd Members’ priorities, and work flexibly across the service when needed. You may be required to move between teams if required. Person specification Job Specific Criteria: Knowledge and experience: You can demonstrate experience and practical knowledge of interpreting statistical information in order to produce innovative visual formats such as infographics and maps that present key issues clearly and effectively. You will need knowledge and experience of manipulating data, performing calculations and producing graphs in MS Excel. Research skills: You will nee...
Cardiff, United Kingdom
On site
Full Time
25-03-2025