941 jobs found

Software Engineer Analyst/Associate Birmingham 2026 Birmingham, West Midlands, England, United Kingdom Job Description MORE ABOUT THIS JOB Please note division and function examples are representative of opportunities common for this skill set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process. What we do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. RESPONSIBILITIES As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance and others, to build and automate solutions to keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact. HOW YOU WILL FULFILL YOUR POTENTIAL Our team of engineers builds solutions to the most complex problems. We develop cutting edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real time access to critical deal information and process billions of data points each day to inform firm wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance. This is a backend engineering role which will involve working across a variety of areas, primarily micro service development in Java, Spring and interaction with MongoDB. You will ideally be familiar with distributed services, testing, system monitoring and reporting, and the complete SDLC process. SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or master's degree in computer science, engineering, or related field 3+ years experience with Java, Spring & Non SQL technologies such as MongoDB Experience with micro services, java deployments & Dev Ops tools such as Gitlab Full understanding of software development lifecycle best practices An ability to drive to goals and milestones while valuing and maintaining a strong attention to detail Strong communication and documentation skills - both verbally and in writing to effectively interact with multiple people and global teams Excellent judgment, analytical thinking, and problem solving skills Strong team player & experience working with global teams Self motivated individual that possesses excellent time management and organizational skills ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info Job Identification 157072 Job Category Associate Posting Date 01/12/2026, 10:22 AM Locations Birmingham, West Midlands, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More

Requirements Proven experience operating at staff level (ownership of systems, not just pipelines) Experience building and scaling modern data platforms A track record of operating at staff or principal level: you've owned systems, shaped technical direction across teams, and influenced how engineering gets done - not just delivered pipelines Deep experience building and scaling production data platforms, including high-ingestion time series workloads, and strong hands on ability in Python and modern data stack components (orchestration, warehousing, observability) The ability to design for reliability and scale - you understand the trade offs in data system design and have made consequential architecture decisions you can speak to clearly A product mindset: you care about whether the data is actually useful and used, not just whether the pipeline ran green Experience with cloud data infrastructure (AWS or GCP) and a point of view on what good looks like The communication skills to lead without authority - influencing technical direction across teams and making the case for the right thing even when it's harder Strong programming skills in Python, with experience building production grade data systems Experience with modern data stack components (e.g.): Orchestration: Airflow / Dagster Warehousing: Snowflake / BigQuery / Redshift / ClickHouse Streaming (nice to have): Kafka / Flink Experience with cloud platforms (AWS / GCP) Experience with data observability and testing practices (Desirable) Experience in energy or climate tech (Desirable) Familiarity with time series data at scale (Desirable) Experience supporting ML pipelines in production (Desirable) Background in high growth startups or scale ups What the job involves We're looking for a Staff Data Engineer to lead the design and evolution of our data platform. This is a high impact, hands on role combining technical leadership, system architecture, and product thinking You'll work closely with engineering, data science, and energy domain experts to ensure that data is reliable, scalable, and directly drives business value You'll work across the data management service team alongside data and analytics engineers, and in close partnership with energy domain experts, data scientists, and the broader engineering organisation. This is a hands on senior technical leadership role - you'll be reviewing pull requests and setting architectural direction in the same week What makes this genuinely different: you're not inheriting someone else's vision of what a data platform should be. The cultural norms, the standards, the practices - these are yours to define. If you've wanted to build the right thing from the ground up, this is that opportunity Technical Leadership Shape the technical direction across batch and streaming pipelines, setting the architecture others build to Set standards for pipeline design and data quality Lead design reviews and mentor other data engineers Evaluate and introduce tooling where it raises the bar - and make the case for when it doesn't Data Platform & Pipelines Build and maintain robust ETL/ELT pipelines Build systems optimised for high ingestion, low latency querying of time series data (TSDS) Optimise pipelines for performance, cost, and reliability Enable self serve analytics and decision making across the company Reliability and observability Implement data quality frameworks with real teeth: SLAs, automated testing, lineage, and monitoring Establish practices specific to energy data: late arrivals, reprocessing, backfills, and the failure modes that matter in this domain Build the observability layer that makes the platform trustworthy without constant human oversight Scale and performance Identify and fix the bottlenecks that constrain us today Optimise pipelines for performance, cost, and reliability as data volumes grow Architect for the next order of magnitude, not just the next quarter Technical leadership and culture Set engineering standards for pipeline design, data quality, and system observability Lead design reviews and mentor data engineers, raising the bar for how the team works Act as a multiplier: the people around you should get better because of how you approach problems What Success Looks Like: What Success Looks Like The data platform handles tem's current scale without firefighting, and is architected for the next phase of growth Other teams can access, trust, and use data without routing requests through the data engineering team There is a tight, reliable feedback loop between data ingestion and consumption: trading, forecasting, and analytics teams make faster decisions because the data is there when they need it The data engineering team has clearer standards, better practices, and higher output than when you arrived

Overview Senior Manager - Business Intelligence (London Summit) • Full time • Global Career Company • United Kingdom Posted On 03/23/2026 Job Information Work Experience 6-9 years • Telecommunications • City London • Province City of London Job Description Invitation: MTN Recruitment Summit - London (May 11th & 12th) We are currently seeking talented Congolese professionals based in London (or able to attend) to join us for an exclusive, invite-only MTN Recruitment Summit taking place on May 11th and 12th in London. This event is designed to connect high-potential diaspora talent with senior leadership from MTN Congo Brazzaville, across key business areas including commercial, technology, data, and marketing. We are looking for individuals who: Are of Congolese origin Bring strong professional experience aligned with MTN's core business areas Are open and willing to relocate to Congo Brazzaville Are excited to contribute to the growth of Africa's leading digital and telecommunications business This is a unique opportunity to explore senior-level career opportunities, gain insight into MTN's strategic vision, and engage directly with hiring leaders. Due to the exclusive nature of this event, attendance is by invitation only. We look forward to identifying and engaging with exceptional Congolese talent ready to make an impact. Company Positioning MTN Congo S.A. is described as a digital product and service company Aligned with MTN Group's vision to: Be at the forefront of delivering a bold new digital world Serve customers through innovation and connectivity Purpose Drive data governance strategy Key Responsibilities Oversee data governance, architecture & compliance Build dashboards, models, and analytics tools Define KPIs and performance metrics Lead BI teams (analysts, data scientists) Requirements Ideal Candidate Profile 5+ years in BI / analytics leadership Background in telecom/digital preferred Impact & Purpose MTN positions itself as building a "bold new digital world" across Africa Employees contribute to: Financial inclusion (MoMo / fintech) Digital connectivity across underserved markets Strong sense of purpose and societal impact

About HIVED At HIVED, we're steamrolling forward as one of Europe's fastest growing startups, and our momentum shows no signs of slowing. Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground up to meet the demands of modern consumers and disrupt parcel delivery. A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better. Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market. Our tight knit team is made up of ex Revolut, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe's leading investors and VCs in climate tech, logistics and mobility such as Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures, NordicNinja VC and the British government. We're passionate about driving innovation and redefining the future of delivery. In a nutshell We are looking for a StaffBackend Engineer with a passion for solving complex, high impact operational problems. As part of HIVED's Routing Squad, you'll tackle some of the most intellectually demanding challenges in computer science - building systems that power optimisation and forecasting at scale, enabling efficient route planning and supply demand matching. Your work will directly enhance our core delivery engine and help create a competitive edge through technology. You'll collaborate within a cross functional team of engineers, data analysts, and data scientists to build production grade optimisation systems that are robust, scalable, and deeply integrated into HIVED's operations. This is an opportunity to combine theoretical rigour with real world application and see the tangible impact of your work every day. What you'll be doing Design and implement distributed systems for routing, supply demand matching, and other core logistics challenges. Work closely with optimisation engineers, data scientists, and analysts to integrate algorithms and solvers into production. Lead the exploration and evaluation of new approaches to solve complex business problems. Partner with product and operational stakeholders to understand business needs and translate them into technical solutions. Contribute to forecasting and planning systems that power strategic and tactical decisions across the business. Continuously improve the performance, scalability, and robustness of our routing and optimisation stack. What we're looking for A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field. Strong analytical and problem solving skills, with experience architecting and building distributed systems. Proven ability to translate complex requirements into production grade solutions with measurable business impact. Solid coding skills (Python or Golang preferred, though experience in other languages like Java or C++ is also valued). Experience working with cloud infrastructure (AWS preferred) and event driven architectures. Curiosity, creativity, and a strong sense of ownership - you enjoy solving open ended problems and shipping solutions that matter. Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK (TypeScript), Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event driven architecture and domain driven design How we reward our team Dynamic hybrid working environment with a diverse and driven team Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role 25 days of holiday allowance plus public holidays 1 Birthday Day Off + 2 Tenure Based Additional Days Off Subsidised Private Medical Insurance including dental, vision & mental health therapy Bi annual performance reviews and tailored development plans Competitive salary + EMI options scheme Annual compensation review Team lunch provided once a week Quarterly team socials and annual sports day (HIVED Olympics) Enhanced maternity/paternity/adoption policy as day 1 right Community volunteer days Cycle to work scheme Dog friendly office and depots MacBook Air or Windows Laptop (depending on your preference)

Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. Kitman Labs' advanced Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. The Role Are you passionate about quality? Are you competent in executing test cases & passionate about SaaS products, applications & systems? We are looking for a Senior QA Tester to join our team to work with cross functional teams to ensure quality throughout our software development lifecycle, to help us assess & improve our software quality through manual and automated testing. As a QA Tester in Kitman Labs you will use your attention to detail and passion for quality to understand product requirements and develop comprehensive test plans that will deliver robust systems to our clients. We will expect you to Work directly with Engineering and Product to deliver high quality features to our clients Work cross functionally to participate in all aspects of the software development lifecycle from planning to execution of tests Execute test cases (manual or automated) and analyse results Evaluate product code according to specifications Identify test scenarios based on requirements Develop and agree test plans with product and engineering leadership Review test results and provide feedback to team leadership Identify software bugs and provide analysis to drive quality within the team Act as the voice of quality within the team at all times Must have skills Focused on quality with a strong attention to detail Knowledge of the SDLC Proven experience as a Quality Assurance Tester or similar role Experience with Agile testing methodologies. Proficiency in creating, executing, and managing test cases and test plans. Understanding of functional, regression, system, and user acceptance testing. Experience with defect tracking and management tools like JIRA, or equivalent. Strong ability to identify and report bugs, along with detailed documentation of issues. Nice to have skills Familiarity with Agile frameworks and Automation testing is a plus Self motivated with the ability to work on own initiative or as part of a team Communication and presentation skills ISTQB Foundation level certification or equivalent Experience with different test types Expertise using different test tools Knowledge of databases and SQL Analytical mind and problem solving aptitude Benefits Competitive salary Health insurance for employee & dependants Meaningful equity Pension Plan Life Cover Income protection Wellbeing benefits Location While this role allows for remote work, occasional face to face gatherings are recommended. Diversity In addition to building a team with diverse skill-sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know.

The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience. Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week. No relocation support. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

(INV) Senior Manager, AI & Data, Data Strategist, Infrastructure TC UKI Location: Manchester Other locations: Primary Location Only Salary: Competitive Date: 7 May 2026 Job description Requisition ID: 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. AI and Data Strategist Grade: Senior Manager Manchester and London Position Overview We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across the infrastructure sector. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI first enterprise. Your client impact Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors Bring current global thinking and trends in the AI, Automation and Data space including within EY Carry out in-depth analysis of infrastructure specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiation Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy Direct the definition of high level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation) Lead cross functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision Present complex AI concepts and recommendations to senior leadership audiences Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness Contribute to solution development and oversee quality of proposals for AI led transformation Provide mentorship and guidance to team members and develop reusable assets Support change management initiatives to embed AI driven and automation enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g. GDPR, AI Act), and risk mitigation frameworks. Support internal processes to approve designs and proposals that have integrity and are commercially sound Essential Qualifications STEM degree or equivalent certification in Computer Science, Data Science, Engineering, or related field Essential Criteria Strong experience delivering enterprise level AI strategies for complex or multinational organisations Expertise and interest in the UK Infrastructure sector including HMG commitments such as National Infrastructure Strategy and Ten Point Plan for a Green Industrial Revolution Experience in designing operating models and organisational structures for data and AI functions Experience of working with client organisations to write business or investment cases Strong understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Knowledge of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA Knowledge of AI governance frameworks, model risk management, and regulatory requirements Strategic thinking with demonstrated ability to translate complex technical concepts into business language Soft Skills Team leadership and coaching skills Communication and presentation skills Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders Demonstrated ability to collaborate in multidisciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Experience with Big 4 consulting methodologies and framework Preferred Qualification Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)

A high-fidelity financial data startup in London is seeking a Data Scientist specializing in AI agents. You will manage a fleet of AI tools to transform unstructured financial PDFs into clean data for institutional clients. The ideal candidate has 1-5 years of experience in building production-grade data pipelines and is skilled in Python and SQL. Join an elite team and enjoy the fast-paced growth environment with meaningful equity opportunities.

Senior Data Scientist IIApplylocations: Farringdontime type: Full timeposted on: Posted 9 Days Agojob requisition id: R112250 Are you ready to take your data science expertise to the next level and lead impactful projects? Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? About our team: We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate.We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference.If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. About the role: We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. Ensure data quality, observability, lineage, and documentation across data and ML pipelines. Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. Requirements: Strong Python programming skills. Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience with behavioral datasets. Ability to work across machine learning, data engineering, analytics, and integrations. Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Nivoda Limited, located in Greater London, seeks a Data Scientist, Growth to build models and decision systems that enhance company performance. This role prioritizes strong skills in Python and SQL alongside extensive experience in data science. You'll drive growth by identifying customer opportunities and supporting teams with insightful analysis. The position offers flexible work hours, remote options, unlimited holiday allowance, and contributions to a rapidly growing company.

Data Scientist IIIApplylocations: Farringdontime type: Full timeposted on: Posted 9 Days Agojob requisition id: R112246 Are you ready to grow your data science expertise and work on impactful AI and machine learning projects? Would you enjoy building advanced analytics, machine learning, and GenAI solutions that drive real business value? About our team We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering-everything from predictive models to enterprise GenAI applications to automation that transforms how teams operate.We are data science generalists who enjoy variety. One day, it may be designing a new GenAI workflow, the next it may be deploying a model into Salesforce or developing a pipeline in Databricks. We work closely with stakeholders to build practical solutions that are used and deliver measurable impact.If you want to experiment, build, ship, and see your work make a difference across a global organisation, you will feel right at home with us. About the role We are seeking a Data Scientist III who is a strong Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations.In this role, you will help design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will contribute across the full solution lifecycle, including problem framing, data preparation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication.This position is ideal for a versatile data scientist who enjoys solving diverse problems, working across multiple systems, and contributing to measurable business impact. Responsibilities: Build GenAI applications using OpenAI APIs, embeddings, vector search, and RAG. Apply prompt engineering and help define evaluation approaches for GenAI outputs. Develop and deploy ML models (e.g., churn, propensity-to-buy, sentiment/feedback, lead scoring, customer intelligence). Own the full ML lifecycle: data prep, experimentation, deployment, and monitoring. Build and optimise feature pipelines and model scoring jobs with Python, Databricks, Spark, and Delta Lake. Use AWS (S3, Redshift, Lambda) for data automation and orchestration. Improve pipeline data quality, observability, lineage, and documentation. Integrate models/data with enterprise platforms (Salesforce, Oracle Fusion/Service Cloud/Peoplesoft). Deliver real-time and batch workflows to improve CRM, sales, service, and marketing operations. Partner cross-functionally to define KPIs, generate actionable insights, communicate clearly, and drive adoption via demos/docs/training. Requirements: Strong Python programming skills. Experience with OpenAI APIs, LLM workflows, and prompt engineering. Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. Experience with Databricks, Spark, and Delta Lake. Strong SQL skills with experience working on large datasets. Experience with AWS, including S3 and Lambda. Familiarity with Redshift, Snowflake, or other cloud data warehouses. Experience working with behavioural or business datasets. Ability to work across machine learning, analytics, data engineering, and integrations. Ability to contribute to end-to-end solutions spanning data, models, APIs, and automation workflows. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Salary, skills, career path and opportunities in the UK. Clarity today. Confidence tomorrow. Understand your path. Build your future. Does a data scientist suit me? Not sure? Take the assessment and find out the best career path that suits who you are. How to become a data scientist in the UK The route into data scientist work in the UK is clearer than most people think. Most people get their first paid role within 2 - 5 years. Below is the practical step by step. Look up Data Scientist roles on LinkedIn or Indeed and read 5 real job ads Talk to someone already working as a Data Scientist - even a 15 minute call helps Find one beginner course or qualification used by people in this role Build one small piece of evidence that you've explored this (project, shadowing, short course) Apply to one entry level role or related opportunity within the next month Do you need qualifications to be a data scientist? Yes - becoming a data scientist in the UK typically requires formal qualifications. Usually required (stats, maths, CS or PhD). There are usually no shortcuts around this, though apprenticeship and conversion routes exist for some specialisms. What does a data scientist do day to day? Every day is different. You'll love digging through data, building models and explaining what the numbers really mean, solving problems and keeping moving things forward. Use stats, ML and code to find patterns in data and answer business questions. Python or R, SQL, Statistics, ML basics. Office or remote, mix of analysis and stakeholder work. A steady weekly rhythm with regular routines. Is data scientist a good career? It can be incredibly rewarding, but it's not for everyone. Here's what to know: Hard road. Real returns. A crowded talent pool and a real climb in pay. Work style - Structured & collaborative. Office or remote, mix of analysis and stakeholder work. Demand - Strong & growing - every data rich company hires data scientists. Competition - High; standing out takes skill and persistence. Difficulty - High. Uncertainty, pressure and continuous learning. Skills you'll need as a data scientist The skills below are the foundation of working as a data scientist. Some you'll bring with you, others you'll sharpen on the job - but employers and clients consistently look for this mix when deciding who to hire and trust. Python or R SQL Statistics ML basics Data storytelling How long it takes to get started Realistically, most people get their first paid data scientist role within 2 - 5 years. It's not a quick path, but it's well trodden - the people who succeed treat it as a project, not a wait. Specialisations within Data Scientist Product Data Scientist Use data to drive product decisions and experimentation. Entry route: Stats/CS degree + product company. Research Data Scientist Push the boundaries of ML and applied stats. Entry route: PhD + publications. Explore related paths See how data scientist fits into wider career groups - or read deeper on the topics most relevant to you. Is Data Scientist actually right for you? Take our 3 minute personality assessment to see how this career matches your traits - and discover others you might love even more.

Salary, skills, career path and opportunities in the UK. Clarity today. Confidence tomorrow. Understand your path. Build your future. Does a data scientist suit me? Not sure? Take the assessment and find out the best career path that suits who you are. How to become a data scientist in the UK The route into data scientist work in the UK is clearer than most people think. Most people get their first paid role within 2 - 5 years. Below is the practical step by step. Look up Data Scientist roles on LinkedIn or Indeed and read 5 real job ads Talk to someone already working as a Data Scientist - even a 15 minute call helps Find one beginner course or qualification used by people in this role Build one small piece of evidence that you've explored this (project, shadowing, short course) Apply to one entry level role or related opportunity within the next month Do you need qualifications to be a data scientist? Yes - becoming a data scientist in the UK typically requires formal qualifications. Usually required (stats, maths, CS or PhD). There are usually no shortcuts around this, though apprenticeship and conversion routes exist for some specialisms. What does a data scientist do day to day? Every day is different. You'll love digging through data, building models and explaining what the numbers really mean, solving problems and keeping moving things forward. Use stats, ML and code to find patterns in data and answer business questions. Python or R, SQL, Statistics, ML basics. Office or remote, mix of analysis and stakeholder work. A steady weekly rhythm with regular routines. Is data scientist a good career? It can be incredibly rewarding, but it's not for everyone. Here's what to know: Hard road. Real returns. A crowded talent pool and a real climb in pay. Work style - Structured & collaborative. Office or remote, mix of analysis and stakeholder work. Demand - Strong & growing - every data rich company hires data scientists. Competition - High; standing out takes skill and persistence. Difficulty - High. Uncertainty, pressure and continuous learning. Skills you'll need as a data scientist The skills below are the foundation of working as a data scientist. Some you'll bring with you, others you'll sharpen on the job - but employers and clients consistently look for this mix when deciding who to hire and trust. Python or R SQL Statistics ML basics Data storytelling How long it takes to get started Realistically, most people get their first paid data scientist role within 2 - 5 years. It's not a quick path, but it's well trodden - the people who succeed treat it as a project, not a wait. Specialisations within Data Scientist Product Data Scientist Use data to drive product decisions and experimentation. Entry route: Stats/CS degree + product company. Research Data Scientist Push the boundaries of ML and applied stats. Entry route: PhD + publications. Explore related paths See how data scientist fits into wider career groups - or read deeper on the topics most relevant to you. Is Data Scientist actually right for you? Take our 3 minute personality assessment to see how this career matches your traits - and discover others you might love even more.

Join the Applied Artificial Intelligence and Machine Learning team as a Lead Software Engineer within Corporate and Investment Banking. You will play a pivotal role in transforming the operations of the world's largest bank. You will collaborate with Data Scientists and Line of Business teams to integrate AI/ML solutions and develop horizontal capabilities, focusing on creating robust APIs, services, and libraries. Job Responsibilities Develop and maintain high-quality applications using Python. Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS. Design and deploy solutions with MLOps best practices. Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team members, lead initiatives to promote best practices and automation. Collaborate closely with SRE and production monitoring teams to ensure system reliability and performance. Required Qualifications, Capabilities and Skills Formal training or certification in Computer Science, Engineering, or a related field, along with strong advanced experience in key concepts. Proven hands-on experience with Python and Kubernetes or ECS. Experience with cloud platforms such as AWS. Ability to work independently to understand and integrate with other systems within a bank. Excellent communication and collaboration skills. Preferred Qualifications, Capabilities and Skills Practical understanding of MLOPS. Hands-on experience with Terraform.