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This is an excellent opportunity to start your analytics career within a large, well-established financial services organisation that has invested heavily in its data and analytics capability. Data sits at the heart of decision-making, and the business has a strong track record of developing analysts from graduate level through to senior roles. The team sits within a newly formed Retail Pricing & Analytics function, which is growing and evolving. Once fully staffed, the wider analytics group will be around 20 people, offering strong peer support, mentoring, and long-term progression. Manchester - Hybrid (2 days in office, moving to 3 by end of year)Salary: £30,000 Where you'll sit • Part of a Retail Pricing & Analytics function, • Embedded in one of four core Retail teams:, • Risk & regulatory reporting, • Service / operations & complaints, • Claims data & insight, • Performance / trading analytics, • Working closely with senior analysts, managers, and an advanced analytics function (data science-led) Most of your work will be outside of Power BI. The focus is on understanding business questions, breaking them down logically, preparing and structuring data, and writing code to reach a solution. Power BI is then used to tell the story rather than do all the heavy lifting. What you'll be doing • Working with business stakeholders to understand reporting and insight needs, • Breaking down ambiguous or complex problems into clear, logical steps, • Manipulating and preparing data using Python (Databricks environment), • Working within existing DevOps code repositories, • Contributing to a trusted "gold layer" of standardised data, • Producing insight that feeds into Power BI dashboards, • Partnering closely with senior analysts and managers for learning and developmentWhat they're looking forCore requirements (critical), • Strong logical reasoning and problem-solving skills, • Degree in a numerical or analytical subject, such as:, • Maths, • Physics, • Engineering, • Economics, • Similar disciplines, • Some exposure to coding or statistics:, • Python preferred, • R or MATLAB acceptable from degree work, • Ability to explain how you would approach a problem, not just write code, • Internships, placements, or relevant work experience, • Experience working with multiple datasets, • Take simple business requests and understand the data behind them, • Begin building coding solutions with support from senior team members, • Use Power BI to communicate insight clearly, • Show steady improvement in:, • logical thinking, • coding confidence, • business understandingTraining & development, • Structured training in Python and Power BI, • On-the-job domain learning, • Buddy system within the team, • Access to certifications and learning resources, • Demonstrated, realistic progression pathsLocation & culture, • Manchester-based role, • Hybrid working:, • Currently 2 days per week in office, • Moving to 3 days by end of year, • No fixed days - flexible, • Young, social office with many graduates and junior analysts, • Many choose to come into the office more than required, • Occasional fully-expensed travel to a second UK office (roughly quarterly, usually social)Why apply, • Strong, recognisable financial services organisation, • Genuine graduate development culture, • Managers who progressed internally, • Analytics role focused on thinking and problem-solving, not just dashboards, • Collaborative, supportive team environment, • Clear long-term career opportunities

Graduate Data Analyst Manchester - Hybrid working £30,000 This is a strong opportunity for a graduate with a logical mindset to build a long term career in analytics within a growing Pricing and Analytics function. The role offers hands on coding, real business exposure, and a proven graduate development pathway. The Company They are a large UK organisation with a well established analytics capability and a strong focus on data driven decision making. Significant investment has been made in Pricing and Analytics, with modern tooling and a collaborative culture. # The Role You will sit within a Retail Data and Insights team, acting as a link between data and the business. Responsibilities include: • Translating business questions into structured data problems, • Manipulating and preparing data using Python in a Databricks environment, • Working within shared DevOps code repositories, • Supporting the creation of high quality, standardised datasets, • Delivering insights through Power BI dashboards and reports, • Working closely with senior analysts for learning and development Your Skills and Experience • Degree in a numerical or analytical discipline such as Maths, Physics, Engineering, or similar, • Strong logical reasoning and problem solving ability, • Some exposure to coding, ideally Python, with R or MATLAB also considered, • Confidence working with data and ambiguity, • Focus on structured thinking rather than tools alone What They Offer • £30,000 base salary with limited flexibility, • Structured graduate training in Python and Power BI, • Supportive buddy system and collaborative team culture, • Clear progression pathways with internal promotion, • Hybrid working with a growing Manchester analytics hub and occasional London travel How to Apply Apply now to learn more about this graduate analytics opportunity.

Summary An exciting opportunity for an experienced Statistics Manager / Associate Director to join a highly respected healthcare research consultancy in South Manchester (The position can be based in London too). You’ll be part of a specialist Advanced Analytics team, working at the forefront of applied statistics, AI integration and interactive tool development. This is a role for someone who thrives on complex problem-solving, enjoys pushing methodological boundaries, and wants to see their work directly influence strategic healthcare decisions. If you’re passionate about advanced modelling, commercial impact and building smart, efficient analytical solutions, this could be your next step. Everything you need to know about the role As Statistics Manager / Associate Director, you’ll play a central role in designing, delivering and evolving advanced analytical approaches across a wide portfolio of healthcare research projects. You will: • Partner with research teams to shape study designs that enable robust, insightful analysis, • Lead the development, validation and refinement of advanced statistical models, • Apply a wide range of multivariate and advanced techniques including regression, conjoint/discrete choice, segmentation, pricing models, structural equation modelling and more, • Build and enhance simulation tools, dashboards and interactive applications (e.g. R-Shiny, Excel/VBA, Python, Power BI), • Drive efficiencies through automation of data checking, model workflows and reporting outputs, • Contribute to the integration of AI into analytics processes to enhance value and innovation, • Act as a senior statistical voice in proposals and client discussions, clearly explaining complex outputs to non-technical audiences, • Lead analytic brainstorming sessions to solve complex or bespoke client challenges, • Develop internal best-practice standards, documentation and quality control frameworks, • Coach and mentor colleagues on statistical techniques, coding and model development, • Balance commercial awareness with analytical rigour, ensuring solutions are both methodologically sound and business-relevant, • This is a highly collaborative position where you’ll work closely with project teams while also operating independently on technically complex modelling challenges. Experience and qualities that make you a strong fit • A Master’s or PhD (or equivalent applied experience) in statistics, mathematics, data science or a related discipline, • 6–8+ years’ experience applying advanced statistical techniques in a commercial or research environment, • Strong expertise across multivariate methods including regression (linear, multinomial, ordinal), conjoint/discrete choice, segmentation and driver analysis, • Experience with modelling categorical and ordinal data (logit/log-linear approaches), • Hands-on experience with data manipulation, weighting, significance testing and sample size calculations, • Experience building simulation models, war gaming tools or interactive dashboards, • Knowledge of advanced methods such as SEM, PLS-PM, Bayesian approaches, hierarchical models, latent class models, Hidden Markov Models, Monte Carlo methods or time-series forecasting, • Exposure to machine learning techniques (e.g. k-means, Gaussian mixtures, SVM), with neural networks or Kohonen maps as a bonus, • Advanced use of R, plus at least two of the following: Sawtooth (CBC/HB), SPSS, Python, SAS, Matlab, XLStat, GitHub, • Ability to combine survey data with secondary sources for validation and modelling, • Strong experimental design experience Alongside technical depth, you’ll be: • A clear communicator who can translate complex outputs into meaningful business insight, • Comfortable juggling multiple deadlines in a fast-paced, client-driven environment, • Naturally collaborative and energised by team brainstorming, • Detail-focused, organised and commercially aware, • Confident leading discussions with both technical colleagues and senior client What’s on offer? • A role at the cutting edge of healthcare analytics, • Opportunity to shape and evolve advanced statistical offerings, • Exposure to innovative AI-enabled workflows, • A collaborative, intellectually curious team environment, • Real influence on strategic healthcare decisions, • Clear scope for leadership and continued technical development Could this be the role for you? If you’re ready to take on this exciting opportunity and bring your expertise to a company that’s shaping the future of healthcare, we’d love to hear from you. Please apply below or send your CV and a brief cover letter to

This is an excellent opportunity to start your analytics career within a large, well‑established financial services organisation that has invested heavily in its data and analytics capability. Data sits at the heart of decision‑making, and the business has a strong track record of developing analysts from graduate level through to senior roles. The team sits within a newly formed Retail Pricing & Analytics function, which is growing and evolving. Once fully staffed, the wider analytics group will be around 20 people, offering strong peer support, mentoring, and long‑term progression. Manchester – Hybrid (2 days in office, moving to 3 by end of year) Salary: £30,000 Where you’ll sit • Part of a Retail Pricing & Analytics function, • Embedded in one of four core Retail teams:, • Risk & regulatory reporting, • Service / operations & complaints, • Claims data & insight, • Performance / trading analytics, • Working closely with senior analysts, managers, and an advanced analytics function (data science–led), • A team with a strong graduate culture — many current senior analysts and managers started as graduates here The role The Graduate Insight Analyst acts as a bridge between the Data function and the wider business. Most of your work will be outside of Power BI. The focus is on understanding business questions, breaking them down logically, preparing and structuring data, and writing code to reach a solution. Power BI is then used to tell the story rather than do all the heavy lifting. What you’ll be doing • Working with business stakeholders to understand reporting and insight needs, • Breaking down ambiguous or complex problems into clear, logical steps, • Manipulating and preparing data using Python (Databricks environment), • Working within existing DevOps code repositories, • Contributing to a trusted “gold layer” of standardised data, • Producing insight that feeds into Power BI dashboards, • Partnering closely with senior analysts and managers for learning and development What they’re looking for Core requirements (critical) • Strong logical reasoning and problem‑solving skills, • Degree in a numerical or analytical subject, such as:, • Maths, • Physics, • Engineering, • Economics, • Similar disciplines, • Some exposure to coding or statistics:, • Python preferred, • R or MATLAB acceptable from degree work, • Ability to explain how you would approach a problem, not just write code Nice to have • Internships, placements, or relevant work experience, • Experience working with multiple datasets, • Examples of academic or commercial problem‑solving What success looks like In the first few months, you’ll be able to: • Take simple business requests and understand the data behind them, • Begin building coding solutions with support from senior team members, • Use Power BI to communicate insight clearly, • Show steady improvement in:, • logical thinking, • coding confidence, • business understanding Training & development • Structured training in Python and Power BI, • On‑the‑job domain learning, • Buddy system within the team, • Access to certifications and learning resources, • Demonstrated, realistic progression paths Location & culture • Manchester‑based role, • Hybrid working:, • Currently 2 days per week in office, • Moving to 3 days by end of year, • No fixed days — flexible, • Young, social office with many graduates and junior analysts, • Many choose to come into the office more than required, • Occasional fully‑expensed travel to a second UK office (roughly quarterly, usually social) Why apply • Strong, recognisable financial services organisation, • Genuine graduate development culture, • Managers who progressed internally, • Analytics role focused on thinking and problem‑solving, not just dashboards, • Collaborative, supportive team environment, • Clear long‑term career opportunities

Analog Design Engineer We are currently partnered with a leading technology company looking for a Senior Analog Design Engineer to strengthen their team, focusing on the development and verification of advanced power-management circuits for next-generation connectivity and audio products. This role will be full time on-site Key responsibilities • Design and implement analog sub-circuits and power-management blocks, including regulators, converters, and associated IPs, • Collaborate with cross-functional teams to gather requirements and provide documentation supporting system-level integration and testing, • Contribute to high-level architecture discussions and define technical strategies for new features or product enhancements Key requirements • Bachelor’s or Master’s degree in Electrical/Electronic Engineering or related discipline, • Analogue design experience, ideally with power-management IPs such as SMPS and LDOs, • Solid understanding of analogue design principles and verification methodologies Keywords: Analog Design / Power Management / LDO / SMPS / Mixed-Signal / Verification / Sub-Cell Design / Cadence / Mentor Graphics / MATLAB / System Architecture / Connectivity / Audio / VLSI / Cross-Functional Collaboration If you are interested in this position, please send a CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ___

Aventa is seeking, on behalf of our client—a leading developer in the offshore renewable energy sector—a Electrical Design Engineer to join their Engineering Department. This role offers a unique opportunity to work alongside a team of skilled engineers contributing to one of the most significant offshore wind developments in the region. Role Objective • We are seeking a proactive, flexible consultant to support offshore wind farm projects in our client portfolio. You will deliver high-quality power system studies primarily in PSS/E (RMS/steady-state), and PSCAD (EMT), collaborate effectively with cross-functional teams, and adapt to evolving project priorities and workloads. Key Responsibilities • You will support projects at various phases (development, design, execution, and operation) by conducting studies and providing grid-connection support. Scope includes:, • Develop, integrate, and validate EMT and RMS models for relevant assets (e.g., WTG, plant controller/PPC, HVAC/HVDC interfaces, STATCOM/SVC as applicable)., • Plan and execute grid compliance and design studies in PSS/E (load flow, short circuit where applicable, dynamic RMS performance, contingencies, sensitivity studies)., • Plan and execute EMT studies in PSCAD (faults and disturbances, control interactions, protection-related phenomena, insulation coordination, energization, converter/control performance, harmonic/transient behaviour as relevant)., • Work with vendor/OEM models: coordinate provisioning, model validation, parameterisation, updates, version control, and fit-for-purpose application in studies., • Produce clear, audit-ready documentation for internal review and external submission (e.g., grid code evidence packs, study reports, model validation notes, assumptions and limitations)., • Summarise findings and recommend mitigations, ensuring technical quality aligned with Ørsted methodologies and QA processes across multiple projects and stakeholders. Requirements: • Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent experience., • Minimum 5 years’ hands-on experience with PSCAD for EMT studies (including relevant add-ons/modules and analysis workflows)., • Strong, proven experience with PSS/E covering steady-state and RMS dynamic analyses for grid compliance and design work., • Demonstrated experience working with vendor-supplied models (confidential models, black-box components) and parameterisation for compliance evidence., • Scripting/automation skills for study execution and post-processing (e.g., Python for PSS®E, MATLAB/Python for result handling; tooling to improve repeatability and QA)., • Experience coordinating with OEMs for model delivery, validation, and updates; strong data confidentiality practices., • Strong communication skills, able to produce concise technical reports and stakeholder-ready material., • Ability to work independently while following Client established methodologies, documentation standards, and QA processes., • Strong interpersonal skills and good ability to engage and work in and as part of a team. Resources Provided • Client will supply a laptop and all necessary software licenses and access (including PSS/E and PSCAD as required). Engagement Terms • No additional certifications required., • No travel required; the role is fully remote., • Contract basis, billed per hour or per day, • Flexible allocation subject to project demands and priorities.

Material Scientist with Python Experience — AI Projects About this opportunity hackajob is collaborating with one of the best platforms that connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: • Design original material engineering problems that simulate real engineering workflows, • Create problems requiring Python programming to solve engineering calculations and simulations, • Ensure problems are computationally intensive and require numerical methods or iterative solutions, • Develop problems involving system design, optimization, and analysis, • Base problems on real research challenges or practical applications from engineering practice, • Verify solutions using Python with standard engineering libraries, • Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for material scientists & engineers with Python experience, open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in Material Science or related fields, • Python proficiency for numerical validation — MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent, • 2+ years of professional experience — applied, research, or teaching experience is applicable, • Understanding of practical engineering constraints and approximations, • Strong written English (C1+) How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation Contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.

You will contribute across the full project lifecycle, from early-stage development through to operations, by: • Building and refining simulation models for key components such as wind turbines, plant controllers, and grid interfaces (HVAC/HVDC systems, FACTS devices where relevant), • Carrying out power system assessments in PSS/E, including steady-state, fault, and dynamic performance studies, • Running detailed EMT simulations in PSCAD to analyse system behaviour under disturbances, switching events, and control interactions, • Handling OEM and vendor models, ensuring correct setup, validation, and ongoing management, • Producing structured, high-quality technical documentation suitable for both internal review and external compliance requirements, • Interpreting study results, identifying risks, and proposing practical engineering solutions, • Ensuring consistency with established engineering standards, methodologies, and QA processes You must hold the below Academic background in Electrical or Power Engineering, or equivalent practical experience Around 5+ years of hands-on PSCAD experience focused on EMT analysis Solid working knowledge of PSS/E for network and dynamic studies Experience dealing with third-party/OEM models, including parameterisation and validation Familiarity with automation tools or scripting (e.g. Python, MATLAB) to improve workflow efficiency

About DigitalCNC DigitalCNC originates from the University of Sheffield's Advanced Manufacturing Research Centre (AMRC). We build physics-based machining intelligence -- our platform predicts machine behaviour, analyses toolpaths, and simulates performance before a single cut is made, giving aerospace and defence manufacturers the confidence to get complex components right first time. We work with the most demanding manufacturers in the sector. We're looking for an engineer who wants to see their work matter at the machine. The role You'll join a small, fast-moving team developing and deploying advanced machining and optimisation technologies. This is an environment where you can go from whiteboard to product in the same day. Theory is only useful here if it ships. Responsibilities span algorithm development, driving the product roadmap, and implementing solutions directly into DigitalCNC software. What you need • Strong software development skills in Python, C++, MATLAB or similar, • Familiarity with physics-based simulation and machine learning techniques, • Machining science: CAM/CNC programming, toolpath strategy design and optimisation,, metal cutting mechanics, • Sharp analytical and problem-solving ability, with genuine attention to detail, • Clear communicator who can collaborate across engineering, product, and commercial teams, • Master's or PhD in Mechanical Engineering, Manufacturing Engineering, Applied Mathematics, or a closely related field Depth we value You don’t have to tick every box. Tell us where your depth sits. • Physics modelling: mechanical engineering, materials science, control systems, • Mathematics and ML: optimisation, dynamical systems, statistical modelling, causal inference, • Applied ML: model training, data curation, LLM workflows, agentic coding, • Aerospace or defence manufacturing experience is a plus Location - SHEFFIELD, UK Based in Sheffield. Hybrid working. Part of the UK's most connected advanced manufacturing ecosystem.

Electrical Design Engineer (PSS/E & PSCAD) – Offshore Wind • Remote (UK, Poland, or Denmark only), • Contract | Inside IR35 Matchtech is supporting our client, an International Offshore wind Developer in securing an Electrical Design Engineer to support offshore wind farm projects within their portfolio. This is a contract consulting role, offering the chance to work on technically complex grid integration and power system studies across multiple project phases. What you’ll be doing You’ll deliver high quality power system studies and grid compliance support, collaborating with cross‑functional stakeholders and OEMs. Responsibilities include: • Developing, integrating, and validating RMS and EMT models (WTG, PPC, HVAC/HVDC, FACTS), • Executing PSS/E studies: load flow, short circuit, RMS dynamics, contingencies & sensitivity analysis, • Executing PSCAD EMT studies: faults, control interactions, protection behaviour, energisation, harmonics & transients, • Managing vendor/OEM models (validation, parameterisation, version control), • Producing audit-ready technical documentation, study reports, and grid code evidence, • Summarising findings and recommending mitigation measures in line with QA standards What the client will be looking for • Degree in Electrical / Power Systems Engineering (or equivalent experience), • 5+ years’ hands-on PSCAD experience (EMT studies), • Strong, proven experience using PSS/E for grid compliance and design studies, • Experience working with confidential vendor models and black‑box components, • Scripting/automation skills (Python, MATLAB) for studies and post‑processing, • Ability to work independently while aligning with established methodologies, • Strong communication and stakeholder engagement skills What’s on offer • Fully remote role (home‑based), • Laptop and software licences, • Flexible allocation depending on project demand, • Contract duration: 20 April 2026 – 15 October 2026 Eligibility note: Candidates must be located in the UK, Poland, or Denmark and should clearly state their location and availability when applying.

A global energy technology leader is looking for a Commissioning Engineer for High Voltage Direct Current (HVDC) systems in Manchester.This role involves testing and commissioning HVDC applications, requiring a background in electrical engineering or energy technology, expertise in MATLAB, and fluen

Computer Engineering Expert — AI Content Specialist. At Alignerr, we partner with the world's leading AI research labs — and we need specialists who can challenge, audit, and refine how AI reasons about hardware, systems, and low-level software. Proficiency in engineering tools such as MATLAB or

A leading global energy technology firm is seeking a Controls Engineer to enhance cutting-edge HVDC systems in Manchester.

A leading automotive technology firm in the UK seeks an entry-level MATLAB and Simulink C++ Engineer to join its Software and R&D team. Candidates should have a degree in a relevant field and hands-on experience with MATLAB and C++.

In this role, you will transcode a legacy algorithm codebase from ADA to MATLAB while ensuring that the developed algorithms are compatible with auto-coding tools.

MATLAB and Simulink C++ Engineer Automotive Tech Wymondham Up to 40k. They are looking to hire a MATLAB and Simulink C++ Engineer to join their growing Software and R and D team. Build and develop simulation models using MATLAB and Simulink R2017b.

The role involves support across various business areas, with a focus on systems engineering lifecycle and experience in MATLAB/Simulink.

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Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu