Python Software Engineer with strong container orchestration and a passion for machine learning is sought by a high growth scale up based near Cheltenham. Working at the forefront of defence and national security innovation this Python Software Engineer will work within a collaborative engineering function to build bleeding edge AI/ ML enabled software solutions that keep millions of people safe. This role would suit software engineers with experience working in an R&D/ innovation focussed environment who are looking for more end to end project exposure and fast track progression opportunity This Python Software Engineer based near Cheltenham should have most of the following key skills: - Solid Python engineering skills - Containerisation (docker, Kubernetes) - Solid general Machine learning skills - PyTorch,Tensorflow etc - NoSQL database experience - Experience working in R&D or innovation focused engineering teams would be a plus - Front end skills would be useful - Angular, React etc - An active SC clearance would be a plus but not essential This Python Software Engineer will receive - Starting salary of up to £75,000 - Hybrid working (2 days a week in the office) - Extensive personal development scheme - 25 days holiday - 10% private pension scheme - Bonus - Private healthcare - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Python Software Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Cheltenham Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes
Jan 10, 2026
Full time
Python Software Engineer with strong container orchestration and a passion for machine learning is sought by a high growth scale up based near Cheltenham. Working at the forefront of defence and national security innovation this Python Software Engineer will work within a collaborative engineering function to build bleeding edge AI/ ML enabled software solutions that keep millions of people safe. This role would suit software engineers with experience working in an R&D/ innovation focussed environment who are looking for more end to end project exposure and fast track progression opportunity This Python Software Engineer based near Cheltenham should have most of the following key skills: - Solid Python engineering skills - Containerisation (docker, Kubernetes) - Solid general Machine learning skills - PyTorch,Tensorflow etc - NoSQL database experience - Experience working in R&D or innovation focused engineering teams would be a plus - Front end skills would be useful - Angular, React etc - An active SC clearance would be a plus but not essential This Python Software Engineer will receive - Starting salary of up to £75,000 - Hybrid working (2 days a week in the office) - Extensive personal development scheme - 25 days holiday - 10% private pension scheme - Bonus - Private healthcare - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Python Software Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Cheltenham Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes
Senior Data Engineer - Make an Impact About Us We're driving a major transformation in data and analytics, and we need a Senior Data Engineer who can do more than just build pipelines - someone who can demonstrate real impact , influence stakeholders, and help shape the future of our data platform. Why This Role Exists This is an opportunity for an experienced data engineer r and an opportunity to grow into a Principal-level role within 2-3 years . You'll join a small, ambitious team with high visibility across the business, working on modernisation projects that will redefine how we use data. What We're Looking For Impact-Driven Mindset: We want someone who can clearly articulate the difference they've made in previous roles - not just list tasks. Show us how you improved processes, accelerated insights, or drove strategic decisions. Technical Expertise: Essential: Strong experience with Microsoft Fabric or Databricks at a good level. Python Proficiency: Advanced coding skills for building robust, scalable solutions. Strong SQL and data modelling (relational and dimensional). Modern Data Engineering: Proven ability to design and deliver scalable solutions using modern architectures (lakehouse, medallion, warehouse-first). Stakeholder Engagement: Ability to influence and collaborate with business leaders, translating technical solutions into measurable business outcomes. Growth Potential: Comfortable mentoring junior engineers and keen to develop into a leadership role. Mindset: Curious, proactive, and passionate about turning data into tangible business value. What You'll Do Drive the evolution of our data platform using Microsoft Fabric and modern engineering practices. Build and optimise data pipelines for ingestion, transformation, and modelling. Support migration from legacy systems (e.g., Synapse) to modern architectures. Collaborate with stakeholders to ensure solutions deliver real business impact. Contribute to innovation projects, including AI integration and advanced analytics. Why Join Us A small, supportive team with big ambitions. High visibility and the chance to make a real difference. Opportunity to shape modern data capabilities from the ground up. Flexible working (remote with quarterly meet-ups). What Success Looks Like You can evidence impact : cost savings, efficiency gains, improved decision-making, or accelerated delivery timelines. You're trusted by stakeholders and seen as a partner who drives change. You bring clarity and simplicity to complex data challenges. Please note you MUST have Python and Microsoft Fabric experience Please get in touch with Kamilla removed) Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Jan 10, 2026
Full time
Senior Data Engineer - Make an Impact About Us We're driving a major transformation in data and analytics, and we need a Senior Data Engineer who can do more than just build pipelines - someone who can demonstrate real impact , influence stakeholders, and help shape the future of our data platform. Why This Role Exists This is an opportunity for an experienced data engineer r and an opportunity to grow into a Principal-level role within 2-3 years . You'll join a small, ambitious team with high visibility across the business, working on modernisation projects that will redefine how we use data. What We're Looking For Impact-Driven Mindset: We want someone who can clearly articulate the difference they've made in previous roles - not just list tasks. Show us how you improved processes, accelerated insights, or drove strategic decisions. Technical Expertise: Essential: Strong experience with Microsoft Fabric or Databricks at a good level. Python Proficiency: Advanced coding skills for building robust, scalable solutions. Strong SQL and data modelling (relational and dimensional). Modern Data Engineering: Proven ability to design and deliver scalable solutions using modern architectures (lakehouse, medallion, warehouse-first). Stakeholder Engagement: Ability to influence and collaborate with business leaders, translating technical solutions into measurable business outcomes. Growth Potential: Comfortable mentoring junior engineers and keen to develop into a leadership role. Mindset: Curious, proactive, and passionate about turning data into tangible business value. What You'll Do Drive the evolution of our data platform using Microsoft Fabric and modern engineering practices. Build and optimise data pipelines for ingestion, transformation, and modelling. Support migration from legacy systems (e.g., Synapse) to modern architectures. Collaborate with stakeholders to ensure solutions deliver real business impact. Contribute to innovation projects, including AI integration and advanced analytics. Why Join Us A small, supportive team with big ambitions. High visibility and the chance to make a real difference. Opportunity to shape modern data capabilities from the ground up. Flexible working (remote with quarterly meet-ups). What Success Looks Like You can evidence impact : cost savings, efficiency gains, improved decision-making, or accelerated delivery timelines. You're trusted by stakeholders and seen as a partner who drives change. You bring clarity and simplicity to complex data challenges. Please note you MUST have Python and Microsoft Fabric experience Please get in touch with Kamilla removed) Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Commercial Business Intelligence Analyst Shoreham-by-Sea (Hybrid) Private Equity Backed Growth Transform data into decisions that drive commercial success . We're building something special at Focus Group. As a fast-growing PE-backed ICT services business, we're at an inflection point where data isn't just supporting our growth-it's powering it. Our Data and Analytics team sits at the heart of everything we do, spanning all divisions, acquisitions, and products. Now we need a Commercial BI Analyst who's energised by the challenge of turning complex datasets into clear insights that shape business strategy. What you'll be doing This isn't a typical "create reports and wait for requests" role. You'll be partnering directly with Finance and Sales leadership to uncover trends, drive performance, and support transformation initiatives that matter. Your work will directly inform decisions made by our Executive Leadership Team. You'll maintain critical analysis tools, deliver ad-hoc deep dives, and communicate data stories that change how we operate. Day-to-day, you'll: Translate complex commercial data into actionable insights that drive sales and financial performance Build compelling dashboards and visualisations that tell the story behind the numbers Partner with Data Engineering on ingestion and modelling projects that enhance our capabilities Present business-critical analysis to the Board of Directors Design intuitive, user-facing reports that stakeholders actually want to use Spot trends before others do and surface opportunities for improvement Contribute to the evolution of our analytics function as we scale What you'll bring You're someone who: Solves problems with a commercial lens-you understand that data exists to drive business value Can "translate" between technical complexity and business clarity Has hands-on experience with data visualisation tools (Power BI preferred) Feels comfortable wrangling large, messy datasets into meaningful insights Communicates findings in ways that inspire action, not just understanding Brings genuine curiosity and a "can do" mindset to ambiguous challenges Works collaboratively but can drive projects independently Technical foundations Strong proficiency in Microsoft Technology (particularly Excel and PowerBI) Experience using data analysis to inform decision-making Meticulous attention to detail Bonus points for Star schema and multi-dimensional data modelling experience SQL, Python, or other data analysis languages Exposure to predictive analytics or forecasting DBT and/or Snowflake experience At Focus Group you can be proud of what you do, how you do it and feel a true part of the team. We work hard to create an inclusive, collaborative and rewarding environment where you are inspired to achieve brilliant things and really make a difference to the future of our business. We're proud to have built an outstanding place to work where people thrive and are recognised for their achievements. We're delighted to have been named one of the UK's best 100 Companies to Work for 2021 and a British Private Equity & Venture Capital Association (BVCA) 2023 Vision Award Winner for London & South East for our commitment to culture and ESG.
Jan 10, 2026
Full time
Commercial Business Intelligence Analyst Shoreham-by-Sea (Hybrid) Private Equity Backed Growth Transform data into decisions that drive commercial success . We're building something special at Focus Group. As a fast-growing PE-backed ICT services business, we're at an inflection point where data isn't just supporting our growth-it's powering it. Our Data and Analytics team sits at the heart of everything we do, spanning all divisions, acquisitions, and products. Now we need a Commercial BI Analyst who's energised by the challenge of turning complex datasets into clear insights that shape business strategy. What you'll be doing This isn't a typical "create reports and wait for requests" role. You'll be partnering directly with Finance and Sales leadership to uncover trends, drive performance, and support transformation initiatives that matter. Your work will directly inform decisions made by our Executive Leadership Team. You'll maintain critical analysis tools, deliver ad-hoc deep dives, and communicate data stories that change how we operate. Day-to-day, you'll: Translate complex commercial data into actionable insights that drive sales and financial performance Build compelling dashboards and visualisations that tell the story behind the numbers Partner with Data Engineering on ingestion and modelling projects that enhance our capabilities Present business-critical analysis to the Board of Directors Design intuitive, user-facing reports that stakeholders actually want to use Spot trends before others do and surface opportunities for improvement Contribute to the evolution of our analytics function as we scale What you'll bring You're someone who: Solves problems with a commercial lens-you understand that data exists to drive business value Can "translate" between technical complexity and business clarity Has hands-on experience with data visualisation tools (Power BI preferred) Feels comfortable wrangling large, messy datasets into meaningful insights Communicates findings in ways that inspire action, not just understanding Brings genuine curiosity and a "can do" mindset to ambiguous challenges Works collaboratively but can drive projects independently Technical foundations Strong proficiency in Microsoft Technology (particularly Excel and PowerBI) Experience using data analysis to inform decision-making Meticulous attention to detail Bonus points for Star schema and multi-dimensional data modelling experience SQL, Python, or other data analysis languages Exposure to predictive analytics or forecasting DBT and/or Snowflake experience At Focus Group you can be proud of what you do, how you do it and feel a true part of the team. We work hard to create an inclusive, collaborative and rewarding environment where you are inspired to achieve brilliant things and really make a difference to the future of our business. We're proud to have built an outstanding place to work where people thrive and are recognised for their achievements. We're delighted to have been named one of the UK's best 100 Companies to Work for 2021 and a British Private Equity & Venture Capital Association (BVCA) 2023 Vision Award Winner for London & South East for our commitment to culture and ESG.
We are looking for ambitious, analytical graduates looking to take on an exciting role with fifty-five as a Digital Analytics Media Consultant in our London-based consulting team. This is a varied role which spans across digital strategy, media advisory website architecture, UX analysis and business insights. Working as part of a small, collaborative team, you will play a key role in delivering fifty-five's data-led projects to multiple, big brand clients across industries such as travel, automotive, retail and beauty. These projects will be driven by client objectives relating to data collection, customer acquisition, onsite conversion optimisation and media-mix optimisation. You will be required to promote a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions. You will report to a Senior Consultant and work alongside other Consultants, Tracking Specialists, Cloud Engineers and Innovation Experts. Examples of project work you will be leading within the first year of your role include but are not limited to: Implementing technical website tracking solutions Helping companies track their online marketing performance Developing engaging dashboards for senior management About the Company Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Milan, Geneva, Taipei, Shenzhen, Hong Kong, New York and Shanghai, fifty-five is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise. Responsibilities Within your first year at fifty-five, you will be responsible for the following: Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client facing position, supported by a team of technical specialists Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate Developing a sharp, operational expertise about web analytics and media-buy topics Occasional travel possible, within the UK or abroad Progressing in your journey at fifty-five, you will be given the opportunity to grow in your role through first-hand exposure to multiple disciplines and, if interested, you might be selected to take a specialist path. Relevant Experience Educated to degree level Analytical mindset, keen to apply data to challenges Detail oriented, proactive and self-motivated, good organisation is paramount Curious and eager to learn, able to challenge and recommend solutions to problems Flexible, versatile and works well under pressure Collaborative, works well in a team, understands that the sum of our parts is better than the individual Strong interest in new marketing technologies & the digital industry Interest in working in a small, growing team Have the right to work in UK Desired Experience Masters degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch! We look forward to meeting you. In return, we are pleased to offer you the following benefits: Being part of a multicultural, dynamic and fast-growing team Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions) Phone allowance Private medical coverage through AXA Transport for London travel card allowance - covering 50% of zone 1-2 allowance The flexibility to work remote for part of the week 25 days holiday per year, in addition to UK bank and public holidays Company pension plan Company-sponsored sporting and social activities Cyclescheme fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.
Jan 10, 2026
Full time
We are looking for ambitious, analytical graduates looking to take on an exciting role with fifty-five as a Digital Analytics Media Consultant in our London-based consulting team. This is a varied role which spans across digital strategy, media advisory website architecture, UX analysis and business insights. Working as part of a small, collaborative team, you will play a key role in delivering fifty-five's data-led projects to multiple, big brand clients across industries such as travel, automotive, retail and beauty. These projects will be driven by client objectives relating to data collection, customer acquisition, onsite conversion optimisation and media-mix optimisation. You will be required to promote a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions. You will report to a Senior Consultant and work alongside other Consultants, Tracking Specialists, Cloud Engineers and Innovation Experts. Examples of project work you will be leading within the first year of your role include but are not limited to: Implementing technical website tracking solutions Helping companies track their online marketing performance Developing engaging dashboards for senior management About the Company Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention. Headquartered in Paris with offices in London, Milan, Geneva, Taipei, Shenzhen, Hong Kong, New York and Shanghai, fifty-five is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise. Responsibilities Within your first year at fifty-five, you will be responsible for the following: Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client facing position, supported by a team of technical specialists Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate Developing a sharp, operational expertise about web analytics and media-buy topics Occasional travel possible, within the UK or abroad Progressing in your journey at fifty-five, you will be given the opportunity to grow in your role through first-hand exposure to multiple disciplines and, if interested, you might be selected to take a specialist path. Relevant Experience Educated to degree level Analytical mindset, keen to apply data to challenges Detail oriented, proactive and self-motivated, good organisation is paramount Curious and eager to learn, able to challenge and recommend solutions to problems Flexible, versatile and works well under pressure Collaborative, works well in a team, understands that the sum of our parts is better than the individual Strong interest in new marketing technologies & the digital industry Interest in working in a small, growing team Have the right to work in UK Desired Experience Masters degree level Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics) Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata) Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau) If this sounds like you, please get in touch! We look forward to meeting you. In return, we are pleased to offer you the following benefits: Being part of a multicultural, dynamic and fast-growing team Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions) Phone allowance Private medical coverage through AXA Transport for London travel card allowance - covering 50% of zone 1-2 allowance The flexibility to work remote for part of the week 25 days holiday per year, in addition to UK bank and public holidays Company pension plan Company-sponsored sporting and social activities Cyclescheme fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.
Overview Advert Close date: 21st January 2026 Are you a skilled developer with a passion for creating innovative solutions? Join The Crown Estate as a Power Platform Developer and play a key role in designing, developing, and implementing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Microsoft Copilot Studio, and AI Builder. Work closely with business stakeholders to create user-friendly applications and automation workflows that enhance productivity and efficiency across The Crown Estate. Main responsibilities Develop, maintain, and extend Power Platform solutions to meet business needs. Troubleshoot and optimise Power Platform solutions to ensure performance, scalability, and security. Collaborate with business users to gather requirements and translate them into functional solutions. Ensure compliance with best practices, security policies, and governance standards through all stages of the Application Lifecycle Management. Contribute to governance standards and Power Platform best practices in line with our Enterprise Architecture principles. Provide training and documentation for end-users and support teams. Share knowledge within the team and department with a collaborative mindset. Knowledge, Experience, and Skills Proven experience as a Power Apps Developer in both Canvas and Model Driven app development and support. Understanding of Power BI, Azure Logic Apps, Power Pages, Microsoft Dynamics. Expertise in software development and business analysis. Experience with designing and implementing efficient automated workflows using Power Automate. Experience configuring and delivering AI agents using Microsoft Copilot Studio (previously known as Power Virtual Agents). Proficient in integrating all aspects of Power Platform with each other. Comprehensive understanding of different database types: Microsoft Dataverse, SharePoint, SQL. Experience configuring custom connector APIs. Proficiency with HTML, Python, C#, and JavaScript for customisation and advanced functionality. Ability to work independently and collaboratively in an Agile development environment. Microsoft Power Platform Certified; PL-200, PL-400 or equivalent. Any other modern development language is beneficial. Understanding of Power Platform licensing plans is beneficial. Capabilities Connected approach: Excellent business-to-technology translation skills, identifying ways to apply solutions to help customers increase business value and performance. Platform Engineering: Building and supporting self-service tooling such as CI/CD. Solution deployment: Utilising build chains allowing for automated deployment. Continuous Improvement: Demonstrates personal commitment to change through actions and words. Staying on top of industry best practices and trends, as well as changes to technical and compliance requirements. Change leader: Acts as a teacher and change leader to help customers and colleagues learn and understand new concepts. Problem solving: Excellent analytical and conceptual solutionising skills. Customer focused: Confident interacting at all levels, without using technical jargon, exhibiting empathy as well as influence with key stakeholders. Communication: Has excellent interpersonal skills, particularly under pressure. Listens intently and can explain technical information in easy-to-understand language. Proactive: Self-motivated with the ability to motivate others and a customer-focused service attitude. Our Offering / Benefits As well as a competitive salary, pension and performance relatedbonus offering, we have a wealth of benefits available ranging from flexible working; market leading family policies and shopping discounts in the West End,to private healthcare; life andcritical illness cover and 28 days holiday with the option to buy more. We value work life balance and your wellbeing highly,enabling you to be your best self to work. Disability Disclosure We are a proud disability confident employer and operate the offer of interview scheme Disability Confident employer scheme - GOV.UK (). We are happy to offer alternative application methods or formats and can be flexible on our process to enable you to have the best opportunity. If you have any questions about our recruitment process or would like to talk about adjustments, please contact us on
Jan 10, 2026
Full time
Overview Advert Close date: 21st January 2026 Are you a skilled developer with a passion for creating innovative solutions? Join The Crown Estate as a Power Platform Developer and play a key role in designing, developing, and implementing solutions using Microsoft Power Platform, including Power Apps, Power Automate, Microsoft Copilot Studio, and AI Builder. Work closely with business stakeholders to create user-friendly applications and automation workflows that enhance productivity and efficiency across The Crown Estate. Main responsibilities Develop, maintain, and extend Power Platform solutions to meet business needs. Troubleshoot and optimise Power Platform solutions to ensure performance, scalability, and security. Collaborate with business users to gather requirements and translate them into functional solutions. Ensure compliance with best practices, security policies, and governance standards through all stages of the Application Lifecycle Management. Contribute to governance standards and Power Platform best practices in line with our Enterprise Architecture principles. Provide training and documentation for end-users and support teams. Share knowledge within the team and department with a collaborative mindset. Knowledge, Experience, and Skills Proven experience as a Power Apps Developer in both Canvas and Model Driven app development and support. Understanding of Power BI, Azure Logic Apps, Power Pages, Microsoft Dynamics. Expertise in software development and business analysis. Experience with designing and implementing efficient automated workflows using Power Automate. Experience configuring and delivering AI agents using Microsoft Copilot Studio (previously known as Power Virtual Agents). Proficient in integrating all aspects of Power Platform with each other. Comprehensive understanding of different database types: Microsoft Dataverse, SharePoint, SQL. Experience configuring custom connector APIs. Proficiency with HTML, Python, C#, and JavaScript for customisation and advanced functionality. Ability to work independently and collaboratively in an Agile development environment. Microsoft Power Platform Certified; PL-200, PL-400 or equivalent. Any other modern development language is beneficial. Understanding of Power Platform licensing plans is beneficial. Capabilities Connected approach: Excellent business-to-technology translation skills, identifying ways to apply solutions to help customers increase business value and performance. Platform Engineering: Building and supporting self-service tooling such as CI/CD. Solution deployment: Utilising build chains allowing for automated deployment. Continuous Improvement: Demonstrates personal commitment to change through actions and words. Staying on top of industry best practices and trends, as well as changes to technical and compliance requirements. Change leader: Acts as a teacher and change leader to help customers and colleagues learn and understand new concepts. Problem solving: Excellent analytical and conceptual solutionising skills. Customer focused: Confident interacting at all levels, without using technical jargon, exhibiting empathy as well as influence with key stakeholders. Communication: Has excellent interpersonal skills, particularly under pressure. Listens intently and can explain technical information in easy-to-understand language. Proactive: Self-motivated with the ability to motivate others and a customer-focused service attitude. Our Offering / Benefits As well as a competitive salary, pension and performance relatedbonus offering, we have a wealth of benefits available ranging from flexible working; market leading family policies and shopping discounts in the West End,to private healthcare; life andcritical illness cover and 28 days holiday with the option to buy more. We value work life balance and your wellbeing highly,enabling you to be your best self to work. Disability Disclosure We are a proud disability confident employer and operate the offer of interview scheme Disability Confident employer scheme - GOV.UK (). We are happy to offer alternative application methods or formats and can be flexible on our process to enable you to have the best opportunity. If you have any questions about our recruitment process or would like to talk about adjustments, please contact us on
Data Science Manager page is loaded Data Science Managerlocations: United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: J-76580Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Manager, Hotel Optimization Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era. What you will do, responsibilities and competencies: Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language) Build and maintain API connectivity using Json automation/Python Create new tools and data visualization using PowerBI or Tableau Build-up and lead a new team and function within hotel optimization What you will bring, experience and qualification: Bachelor's in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master's preferred Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment. Strong SQL skills, with ability to write SQL from scratch, good understanding of databases Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards. Experience with at least one programming language (Python/R) Good communication skills with passion for storytelling, bringing data to life Experience managing a team would be an asset, but not required What we will offer Learning and development opportunity. Mentoring program. Flexible home working option. Competitive benefits. Diverse team that is globally based. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more!All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Jan 09, 2026
Full time
Data Science Manager page is loaded Data Science Managerlocations: United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: J-76580Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Manager, Hotel Optimization Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era. What you will do, responsibilities and competencies: Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language) Build and maintain API connectivity using Json automation/Python Create new tools and data visualization using PowerBI or Tableau Build-up and lead a new team and function within hotel optimization What you will bring, experience and qualification: Bachelor's in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master's preferred Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment. Strong SQL skills, with ability to write SQL from scratch, good understanding of databases Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards. Experience with at least one programming language (Python/R) Good communication skills with passion for storytelling, bringing data to life Experience managing a team would be an asset, but not required What we will offer Learning and development opportunity. Mentoring program. Flexible home working option. Competitive benefits. Diverse team that is globally based. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more!All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jan 09, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
An exciting opportunity has arisen for a Senior Software Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Software Engineer, you will be contributing to the development and scaling of secure, reliable software in a collaborative, agile environment. This is a contract-based role (12 weeks) offering hybrid / remote working options, a salary range of £500 - £700 per day (Inside IR35) and benefits. You will be responsible for: Building and scaling new software products within an agile squad. Supporting the delivery of innovative health-tech services that positively impact society. Collaborating closely with cross-functional teams including product, UX, and engineering leads. Applying engineering expertise across backend and full-stack development. What we are looking for Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge of Golang or Typescript is advantageous. Experience with agile methodologies, Git, and GitHub workflows. Competence in developing and maintaining large-scale web applications, both frontend and backend. Familiarity with CI/CD pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements in software design. This is a unique opportunity to join a forward-thinking tech team and make a tangible difference. Apply now to be part of this exciting venture. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Jan 09, 2026
Contractor
An exciting opportunity has arisen for a Senior Software Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Software Engineer, you will be contributing to the development and scaling of secure, reliable software in a collaborative, agile environment. This is a contract-based role (12 weeks) offering hybrid / remote working options, a salary range of £500 - £700 per day (Inside IR35) and benefits. You will be responsible for: Building and scaling new software products within an agile squad. Supporting the delivery of innovative health-tech services that positively impact society. Collaborating closely with cross-functional teams including product, UX, and engineering leads. Applying engineering expertise across backend and full-stack development. What we are looking for Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge of Golang or Typescript is advantageous. Experience with agile methodologies, Git, and GitHub workflows. Competence in developing and maintaining large-scale web applications, both frontend and backend. Familiarity with CI/CD pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements in software design. This is a unique opportunity to join a forward-thinking tech team and make a tangible difference. Apply now to be part of this exciting venture. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Job Title: Senior Systems Developer DETAILS We are seeking a highly skilled Senior Systems Developer with extensive experience in data architecture, system design, and enterprise-level application development. The successful candidate will be responsible for constructing scalable systems, designing robust data models, and guiding the technical direction of backend and data-driven solutions across the organisation. DUTIES & RESPONSIBILITIES Design, develop, and maintain sophisticated backend systems, APIs, and services. Lead architectural decisions to ensure systems are scalable, secure, and high-performing. Implement best practices for software engineering, and cloud-native development. Collaborate with cross-functional teams (Data Engineering, DevOps, Product, QA) to conceptualise and deliver high-quality solutions. Define and implement enterprise data models, data flows, and database schemas. Architect and maintain data pipelines, data lakes, and data warehouses. Optimise data storage, retrieval, partitioning, and indexing strategies for performance and scalability. Ensure data quality, governance, lineage, and compliance with security standards. Develop integrations between internal and external systems utilising APIs, ETL tools, and messaging systems. Automate workflows, monitoring, and deployment processes. Drive platform modernisation initiatives and migrations to cloud. Participate in code reviews, architecture meetings, and technical strategy discussions. Provide expert guidance on system performance, scalability, and troubleshooting. SKILLS, EXPERIENCE & QUALIFICATIONS Bachelor s or Master s degree in Computer Science, Information Technology, or related discipline. Minimum 8 years of experience in systems development, with at least 2 years dedicated to data architecture. Demonstrated success in delivering enterprise-grade systems and data platforms. Strong programming expertise in Python and AI skills. Profound understanding of system architecture, design patterns, and microservices. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Expertise in SQL and NoSQL database technologies. Knowledge of ETL/ELT frameworks, data modelling and data governance. Familiarity with containerisation and orchestration tools such as Docker and Kubernetes. Awareness of security frameworks, including authentication and authorisation protocols. Analytical and problem-solving capabilities. Excellent communication and documentation skills. Ability to work independently and lead cross-functional teams. Adaptability to rapidly evolving technological environments PREFERRED SKILLS Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. Git, CI/CD pipelines. Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. Exposure to AI/ML workflows and model deployment. Experience with streaming systems and real-time architecture. Knowledge of event-driven and serverless architectural patterns. The Salary will be £ 42,500 - £ 45,500 DOE Type: Permanent
Jan 09, 2026
Full time
Job Title: Senior Systems Developer DETAILS We are seeking a highly skilled Senior Systems Developer with extensive experience in data architecture, system design, and enterprise-level application development. The successful candidate will be responsible for constructing scalable systems, designing robust data models, and guiding the technical direction of backend and data-driven solutions across the organisation. DUTIES & RESPONSIBILITIES Design, develop, and maintain sophisticated backend systems, APIs, and services. Lead architectural decisions to ensure systems are scalable, secure, and high-performing. Implement best practices for software engineering, and cloud-native development. Collaborate with cross-functional teams (Data Engineering, DevOps, Product, QA) to conceptualise and deliver high-quality solutions. Define and implement enterprise data models, data flows, and database schemas. Architect and maintain data pipelines, data lakes, and data warehouses. Optimise data storage, retrieval, partitioning, and indexing strategies for performance and scalability. Ensure data quality, governance, lineage, and compliance with security standards. Develop integrations between internal and external systems utilising APIs, ETL tools, and messaging systems. Automate workflows, monitoring, and deployment processes. Drive platform modernisation initiatives and migrations to cloud. Participate in code reviews, architecture meetings, and technical strategy discussions. Provide expert guidance on system performance, scalability, and troubleshooting. SKILLS, EXPERIENCE & QUALIFICATIONS Bachelor s or Master s degree in Computer Science, Information Technology, or related discipline. Minimum 8 years of experience in systems development, with at least 2 years dedicated to data architecture. Demonstrated success in delivering enterprise-grade systems and data platforms. Strong programming expertise in Python and AI skills. Profound understanding of system architecture, design patterns, and microservices. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Expertise in SQL and NoSQL database technologies. Knowledge of ETL/ELT frameworks, data modelling and data governance. Familiarity with containerisation and orchestration tools such as Docker and Kubernetes. Awareness of security frameworks, including authentication and authorisation protocols. Analytical and problem-solving capabilities. Excellent communication and documentation skills. Ability to work independently and lead cross-functional teams. Adaptability to rapidly evolving technological environments PREFERRED SKILLS Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. Git, CI/CD pipelines. Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. Exposure to AI/ML workflows and model deployment. Experience with streaming systems and real-time architecture. Knowledge of event-driven and serverless architectural patterns. The Salary will be £ 42,500 - £ 45,500 DOE Type: Permanent
Hispanic Alliance for Career Enhancement
City, Belfast
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom
Jan 09, 2026
Full time
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom
Role: AI Safety Researcher Type: Contract (6 Months) Location: London (Fully Remote) Payrate: 480 - 530 per day on PAYE 550 - 610 per day on RUPAYE 650 - 725 per day INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking data. Who You Are Safety Expert: Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jan 09, 2026
Contractor
Role: AI Safety Researcher Type: Contract (6 Months) Location: London (Fully Remote) Payrate: 480 - 530 per day on PAYE 550 - 610 per day on RUPAYE 650 - 725 per day INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking data. Who You Are Safety Expert: Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.
Jan 09, 2026
Full time
Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.
Data Engineering Team Lead / Lead Data Engineer Full Time / Permanent 65,000 - 85,000 dependant on experience + car allowance, generous bonus, private medical and other extensive benefits Hybrid - 1 day a week in the Oxfordshire head office required with occasional travel to London The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered in Oxfordshire, UK. This would be a hybrid role requiring 1 day a week in the Oxfordshire head office and occasional travel to the London office. The Role: I am looking for an experienced Data Engineering Team Lead / Lead Data Engineer who can oversee a small team of experienced Data Engineers, set technical direction and set up new processes in an efficient manner. This is a role where you can really make your mark and impact change very quickly. The Data Engineering Team Lead / Lead Data Engineer will remain hands-on and will ideally have experience with Databricks and Azure however the leadership experience and behaviours are the priority for this role. The Person: The successful candidate must have proven experience operating as a Team Lead / Lead Data Engineer with the ability to design, build, and maintain scalable data pipelines and solutions. You must be able to work closely with the Data Architect to interpret data architecture designs into actionable build plans and lead the development of data processing workflows. From a technical standpoint you will ideally possess / or aspire to learn: Knowledge or experience of Databricks including Unity Catolog and Spark SQL. Programming skills, preferably in Python and SQL. Knowledge and experience in Azure, including working with Azure Data Factory and Azure Storage Accounts. Knowledge of previous experience working with Terraform to define, deploy, and manage cloud infrastructure as code in a scalable and repeatable manner, integration and automation of CI/CD data pipelines to support deployment of data services and environments. Contact: Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Jan 09, 2026
Full time
Data Engineering Team Lead / Lead Data Engineer Full Time / Permanent 65,000 - 85,000 dependant on experience + car allowance, generous bonus, private medical and other extensive benefits Hybrid - 1 day a week in the Oxfordshire head office required with occasional travel to London The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered in Oxfordshire, UK. This would be a hybrid role requiring 1 day a week in the Oxfordshire head office and occasional travel to the London office. The Role: I am looking for an experienced Data Engineering Team Lead / Lead Data Engineer who can oversee a small team of experienced Data Engineers, set technical direction and set up new processes in an efficient manner. This is a role where you can really make your mark and impact change very quickly. The Data Engineering Team Lead / Lead Data Engineer will remain hands-on and will ideally have experience with Databricks and Azure however the leadership experience and behaviours are the priority for this role. The Person: The successful candidate must have proven experience operating as a Team Lead / Lead Data Engineer with the ability to design, build, and maintain scalable data pipelines and solutions. You must be able to work closely with the Data Architect to interpret data architecture designs into actionable build plans and lead the development of data processing workflows. From a technical standpoint you will ideally possess / or aspire to learn: Knowledge or experience of Databricks including Unity Catolog and Spark SQL. Programming skills, preferably in Python and SQL. Knowledge and experience in Azure, including working with Azure Data Factory and Azure Storage Accounts. Knowledge of previous experience working with Terraform to define, deploy, and manage cloud infrastructure as code in a scalable and repeatable manner, integration and automation of CI/CD data pipelines to support deployment of data services and environments. Contact: Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Migrant Help have an exciting opportunity to recruit a Data Analyst to join our team! Location: Home based Contract: Permanent ? Salary: £37,000 About us: Migrant Help is a leading charity that was established in 1963 and delivers a range of support and advice services to people affected by displacement and exploitation across the UK. Our vision is for a global society that protects vulnerable people, treats them with respect and enables them to reach their full potential. The Data Analyst role: Part of the Technology and Transformation Analytics team, the Data Analyst is an insightful and impactful role at Migrant Help. You will lead contract performance reporting and support the development and dissemination of management information, collaborating with stakeholders to understand business needs and drive data-informed decision-making. You will drive data excellence through end-to-end design, development, and maintenance of robust data models, dynamic dashboards, and insightful reports using a range of technologies, including SQL Server, Azure Synapse, Python and Power BI. If you have demonstrable experience collating and analysing data, with strong problem solving skills, and are looking for an exciting role that makes a difference, we d love to hear from you! Key responsibilities of our Data Analyst: Design, build and maintain key performance indicators and management reports, delivering weekly and monthly insights, while ensuring accurate integration into strategic reporting cycles. Develop scalable Power BI dashboards and data visualisation outputs, underpinned by well governed models, and documented data pipelines. Partner with stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit?for?purpose data models, views and transformations that enable reliable, near real?time reporting solutions. Document data lineage and definitions to support transparency and reuse. Ensure data quality and integrity through rigorous validation, cleaning and reconciliation processes, fostering trust and reliability in all reporting outputs. Contribute to standardised metrics and data dictionaries to promote consistency and clarity across the organisation. The experience and skills you need to become our Data Analyst: Experience collating and analysing management information and performance metrics. Strong SQL skills with experience querying relational databases (e.g. SQL Server). Exposure to data modelling, enrichment and transformation techniques. Ability to work with complex datasets and apply business logic to analytical outputs. Excellent communication skills with the ability to explain insights to technical and non?technical audiences in clear written English. Migrant Help is committed to safeguarding those we provide a service to, applicants will have to undergo strict vetting procedures throughout different stages of the recruitment process therefore: ? This post is subject to a Disclosure and Barring Service (DBS) check This post is subject to a Counter Terrorism Check (CTC) therefore applicants must: Be able to provide a valid passport eg. 10 year full British passport, EU or non-EU Passport with indefinite leave to remain Be able to provide continuous UK address history for the previous 5 years Provide full employment history for the previous 3 years and/or suitable documentation to cover any gaps in employment These are some of the benefits we offer: Our working week is 35 hours per week offering flexibility and work life balance Enhanced family friendly provisions Employees will gain an extra day annual leave per year to a maximum of 39 days, including bank holidays (pro-rata). Option to buy or sell up to 5 days of annual leave Access to Perkbox, an employee rewards and benefits platform with over 9,000 deals and discounts, a range of free perks, employee wellbeing support and other additional employee benefits and recognitions. Wellbeing support. Migrant Help offers employees a non-contributory pension scheme Migrant Help pays 8% worth of employee salary into the pension scheme. Closing Date: 20th February 2026 If you are interested in becoming our new Data Analyst, please click 'APPLY' today. We look forward to hearing from you! We encourage applications from disabled people by offering them an interview if they meet the minimum criteria for the job Please note this vacancy may close early depending on applications received As part of your role, it is important you operate within Migrant Help s values: Protection, Diversity, Equality, Partnership, Innovation and Excellence. Migrant Help is proud to be an equal opportunities employer.
Jan 09, 2026
Full time
Migrant Help have an exciting opportunity to recruit a Data Analyst to join our team! Location: Home based Contract: Permanent ? Salary: £37,000 About us: Migrant Help is a leading charity that was established in 1963 and delivers a range of support and advice services to people affected by displacement and exploitation across the UK. Our vision is for a global society that protects vulnerable people, treats them with respect and enables them to reach their full potential. The Data Analyst role: Part of the Technology and Transformation Analytics team, the Data Analyst is an insightful and impactful role at Migrant Help. You will lead contract performance reporting and support the development and dissemination of management information, collaborating with stakeholders to understand business needs and drive data-informed decision-making. You will drive data excellence through end-to-end design, development, and maintenance of robust data models, dynamic dashboards, and insightful reports using a range of technologies, including SQL Server, Azure Synapse, Python and Power BI. If you have demonstrable experience collating and analysing data, with strong problem solving skills, and are looking for an exciting role that makes a difference, we d love to hear from you! Key responsibilities of our Data Analyst: Design, build and maintain key performance indicators and management reports, delivering weekly and monthly insights, while ensuring accurate integration into strategic reporting cycles. Develop scalable Power BI dashboards and data visualisation outputs, underpinned by well governed models, and documented data pipelines. Partner with stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit?for?purpose data models, views and transformations that enable reliable, near real?time reporting solutions. Document data lineage and definitions to support transparency and reuse. Ensure data quality and integrity through rigorous validation, cleaning and reconciliation processes, fostering trust and reliability in all reporting outputs. Contribute to standardised metrics and data dictionaries to promote consistency and clarity across the organisation. The experience and skills you need to become our Data Analyst: Experience collating and analysing management information and performance metrics. Strong SQL skills with experience querying relational databases (e.g. SQL Server). Exposure to data modelling, enrichment and transformation techniques. Ability to work with complex datasets and apply business logic to analytical outputs. Excellent communication skills with the ability to explain insights to technical and non?technical audiences in clear written English. Migrant Help is committed to safeguarding those we provide a service to, applicants will have to undergo strict vetting procedures throughout different stages of the recruitment process therefore: ? This post is subject to a Disclosure and Barring Service (DBS) check This post is subject to a Counter Terrorism Check (CTC) therefore applicants must: Be able to provide a valid passport eg. 10 year full British passport, EU or non-EU Passport with indefinite leave to remain Be able to provide continuous UK address history for the previous 5 years Provide full employment history for the previous 3 years and/or suitable documentation to cover any gaps in employment These are some of the benefits we offer: Our working week is 35 hours per week offering flexibility and work life balance Enhanced family friendly provisions Employees will gain an extra day annual leave per year to a maximum of 39 days, including bank holidays (pro-rata). Option to buy or sell up to 5 days of annual leave Access to Perkbox, an employee rewards and benefits platform with over 9,000 deals and discounts, a range of free perks, employee wellbeing support and other additional employee benefits and recognitions. Wellbeing support. Migrant Help offers employees a non-contributory pension scheme Migrant Help pays 8% worth of employee salary into the pension scheme. Closing Date: 20th February 2026 If you are interested in becoming our new Data Analyst, please click 'APPLY' today. We look forward to hearing from you! We encourage applications from disabled people by offering them an interview if they meet the minimum criteria for the job Please note this vacancy may close early depending on applications received As part of your role, it is important you operate within Migrant Help s values: Protection, Diversity, Equality, Partnership, Innovation and Excellence. Migrant Help is proud to be an equal opportunities employer.
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1 2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Jan 09, 2026
Full time
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1 2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
The Association of Technology, Management and Applied Engineering
Overview The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next generation data experience for GSK's scientists, engineers, and decision makers, providing best in class AI/ML and data analysis environments, aggressively engineering our data at scale, and implementing scientific technology products. Role Summary The Application Engineer II is a solid individual contributor at Onyx. You will design, build, deploy, and operate data driven applications that serve our scientific community, turning loosely defined requirements into high quality features and production grade experiences. You will confidently break down small to medium sized engineering problems, lead implementation end to end, and collaborate across product, data, and platform teams. Responsibilities Design, implement, test, document, and deploy full stack, data driven cloud applications; own features end to end from MVP to production grade experiences. Develop and operate reliable APIs and services (REST/GraphQL/gRPC) with strong authentication/authorization, observability, and performance characteristics. Operate and support applications in production, including participation in on call; create and maintain runbooks/playbooks; lead resolution of bugs and incidents. Define, measure, and monitor key product and operational metrics (e.g., performance, reliability, cost); iterate to improve them through data informed decisions. Proactively improve test coverage, CI/CD pipelines, and release safety; champion automation and high quality software engineering practices. Identify and address gaps in observability, alerting, and monitoring; implement metrics, logs, traces, and SLOs that enable robust operations. Collaborate with product to refine user requirements, break down work, plan milestones, and communicate progress and risks to stakeholders. Contribute to system design within the team; propose pragmatic refactoring to reduce complexity and technical debt while balancing short and long term needs. Produce clear documentation, proposals, and technical guides so others can understand, use, and build upon your work; actively participate in code reviews. Help onboard and mentor engineers in your team; share best practices and contribute to a culture of innovation, transparency, and trust with a patient first mentality. Qualifications and Skills Bachelor's degree in a communication related field or in Computer Science, together with significant demonstrable engagement experience within IT or Pharma. Strong and dynamic communicator with excellent verbal and written communications skills. Ability to manage time effectively without supervision and to organize, prioritize and deliver tasks and projects with a sense of urgency. Deep knowledge and use of at least one common web backend language (e.g., Python, Scala, Java, JavaScript (Node.js and associated toolchains for documentation, testing, and operations. Experience developing and deploying applications in a cloud environment (Google Cloud preferred, AWS or Azure). Strong experience with modern software development tools and ways of working (e.g., Git/GitHub, DevOps tools, metrics/monitoring). Proficiency in front end technologies: JavaScript, TypeScript, React.js, Angular.js or similar. API development using standards such as REST/GraphQL/gRPC. Experience with an open source web framework (Python, Java, Scala or similar). Experience with Authentication & Authorization mechanisms such as OAuth2. Experience with CI/CD implementations using Git and a common CI/CD stack. Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications and Skills Master's degree or higher. Significant experience delivering cross functional projects. Experience embedding operation excellence culture within teams. Knowledge of database modelling, database concepts and SQL. Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar. Closing Date for Applications Tuesday 6th January 2026 (COB) Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law. Adjustment Contact If you require an adjustment to the application or selection process to enable you to demonstrate your ability to perform the job requirements, please contact or . The helpline is available from 8.30 am to 12.00 noon Monday to Friday.
Jan 09, 2026
Full time
Overview The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next generation data experience for GSK's scientists, engineers, and decision makers, providing best in class AI/ML and data analysis environments, aggressively engineering our data at scale, and implementing scientific technology products. Role Summary The Application Engineer II is a solid individual contributor at Onyx. You will design, build, deploy, and operate data driven applications that serve our scientific community, turning loosely defined requirements into high quality features and production grade experiences. You will confidently break down small to medium sized engineering problems, lead implementation end to end, and collaborate across product, data, and platform teams. Responsibilities Design, implement, test, document, and deploy full stack, data driven cloud applications; own features end to end from MVP to production grade experiences. Develop and operate reliable APIs and services (REST/GraphQL/gRPC) with strong authentication/authorization, observability, and performance characteristics. Operate and support applications in production, including participation in on call; create and maintain runbooks/playbooks; lead resolution of bugs and incidents. Define, measure, and monitor key product and operational metrics (e.g., performance, reliability, cost); iterate to improve them through data informed decisions. Proactively improve test coverage, CI/CD pipelines, and release safety; champion automation and high quality software engineering practices. Identify and address gaps in observability, alerting, and monitoring; implement metrics, logs, traces, and SLOs that enable robust operations. Collaborate with product to refine user requirements, break down work, plan milestones, and communicate progress and risks to stakeholders. Contribute to system design within the team; propose pragmatic refactoring to reduce complexity and technical debt while balancing short and long term needs. Produce clear documentation, proposals, and technical guides so others can understand, use, and build upon your work; actively participate in code reviews. Help onboard and mentor engineers in your team; share best practices and contribute to a culture of innovation, transparency, and trust with a patient first mentality. Qualifications and Skills Bachelor's degree in a communication related field or in Computer Science, together with significant demonstrable engagement experience within IT or Pharma. Strong and dynamic communicator with excellent verbal and written communications skills. Ability to manage time effectively without supervision and to organize, prioritize and deliver tasks and projects with a sense of urgency. Deep knowledge and use of at least one common web backend language (e.g., Python, Scala, Java, JavaScript (Node.js and associated toolchains for documentation, testing, and operations. Experience developing and deploying applications in a cloud environment (Google Cloud preferred, AWS or Azure). Strong experience with modern software development tools and ways of working (e.g., Git/GitHub, DevOps tools, metrics/monitoring). Proficiency in front end technologies: JavaScript, TypeScript, React.js, Angular.js or similar. API development using standards such as REST/GraphQL/gRPC. Experience with an open source web framework (Python, Java, Scala or similar). Experience with Authentication & Authorization mechanisms such as OAuth2. Experience with CI/CD implementations using Git and a common CI/CD stack. Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications and Skills Master's degree or higher. Significant experience delivering cross functional projects. Experience embedding operation excellence culture within teams. Knowledge of database modelling, database concepts and SQL. Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar. Closing Date for Applications Tuesday 6th January 2026 (COB) Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law. Adjustment Contact If you require an adjustment to the application or selection process to enable you to demonstrate your ability to perform the job requirements, please contact or . The helpline is available from 8.30 am to 12.00 noon Monday to Friday.
Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. What you'll bring to the table: Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands on technical delivery of client facing data projects across the full SDLC from design to migration, integration and live service in a multi vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. This should be backed with strong cloud native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc. Proven experience in quality assuring data programmes, including non functional testing and performance tuning Hands on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc. A keen understanding of industry best practice around standards, quality and continuous improvement in the field of Data Engineering Experience in conducting large scale enterprise batch and real time processing from varying sources Experience in building and designing scalable and extensible enterprise data architectures Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A 'Blended Working' model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - click here Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to the application or interview process so please speak to our recruitment team.
Jan 09, 2026
Full time
Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. What you'll bring to the table: Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands on technical delivery of client facing data projects across the full SDLC from design to migration, integration and live service in a multi vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. This should be backed with strong cloud native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc. Proven experience in quality assuring data programmes, including non functional testing and performance tuning Hands on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc. A keen understanding of industry best practice around standards, quality and continuous improvement in the field of Data Engineering Experience in conducting large scale enterprise batch and real time processing from varying sources Experience in building and designing scalable and extensible enterprise data architectures Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A 'Blended Working' model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - click here Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to the application or interview process so please speak to our recruitment team.
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products - including spending, saving, investing, exchanging, travelling, and more - help our 65+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work . So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role At Revolut, we do Ops differently. Our hyper-talented operations experts don't just keep things ticking over. They're given the most complex, hard-to-solve problems in the business. Then they create elegant, scalable solutions that keep pace with our ambitious growth plans. In the military, you developed your skills in leadership, strategic thinking, teamwork, and discipline - all of which are highly valued at Revolut. As a Production Manager, you'll leverage your strengths to manage teams of up to 100 customer support agents, while collaborating closely with the Product team to drive continuous improvements in our global fintech operations. If you're a leader who can effectively balance managing people and processes while maintaining a constant drive for high performance, let's get in touch. What you'll be doing Managing a team of direct and indirect reports Exploring and defining which projects the team should prioritise, and setting a timeline to reach goals quickly Taking responsibility for your team's development, guiding and working with them to unlock their full potential Leading by example, resolving the toughest customer issues, and ensuring consistent high-level team performance Interacting and collaborating with teams from different regions and cities across the globe to constantly improve service levels Making critical business decisions by breaking down complex cases and backing up reasoning using advanced analysis Proposing, developing, and implementing systems, programmes, and processes to strengthen the foundation of exceptional customer service Building and optimising scalable processes to promote hyper-growth Owning business line metrics and improving people's performance, including decision-making quality and efficiency Establishing lasting relationships with vendors and partners What you'll need At least a 2:1 degree from a top university Experience in engineering (graduates welcome to apply) Experience working in a structured, KPI-focused environment, such as a startup Experience managing large teams composed of direct and indirect reports Leadership skills with a creative, confident, and motivational approach Excellent communication, interpersonal, and people management skills The ability to work in a fast-paced environment, managing multiple challenges simultaneously An excellent problem-solving approach and demonstrated record of executing projects that measurably improved different metrics To be logical, analytical, and have experience resolving team productivity or quality issues in efficient ways The ability to identify operational inefficiencies and provide practical solutions The ability to take a data-driven approach to identify root causes, measure performance, and drive process improvements A magic skill to break complex problems into smaller ones and to enjoy working with data Nice to have Experience working with SQL, Python, and/or R Certifications in Lean Six Sigma Building a global financial super app isn't enough. Our Revoluters are a priority, and that's why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We're doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. • Only apply through official Revolut channels. We don't use any third-party services or platforms for our recruitment. • Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an domain. We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it's a scam. Report it immediately. Benefits at Revolut No ping pong tables or bean bag chairs, just benefits you actually want Get what you need to succeed Financial benefits that show we value your work Flexibility to work from home, the office or abroad A free Revolut Metal subscription loaded with perks Exciting events year-round so you can get to know your team Revoluters always push through! We stopped listening to excuses a long time ago - we care about results. We believe that grit, determination, skill, smartness, and courage can break through almost any wall. Deliver WOW We love building great products, we love delighting our customers, we love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs. Dream Team We select, coach, and retain the top talent only and give them all the support to achieve greatness Never Settle Revolut is for those who always strive for excellence, for those who want to become the best in the world at what they do, and those who would never settle for less. Revolut is for 10x people. Think Deeper Logic, reason, and common sense prevail over everything else in decision making at Revolut. We are open-minded, we listen, and we are always in search of the truth.
Jan 09, 2026
Full time
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products - including spending, saving, investing, exchanging, travelling, and more - help our 65+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work . So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role At Revolut, we do Ops differently. Our hyper-talented operations experts don't just keep things ticking over. They're given the most complex, hard-to-solve problems in the business. Then they create elegant, scalable solutions that keep pace with our ambitious growth plans. In the military, you developed your skills in leadership, strategic thinking, teamwork, and discipline - all of which are highly valued at Revolut. As a Production Manager, you'll leverage your strengths to manage teams of up to 100 customer support agents, while collaborating closely with the Product team to drive continuous improvements in our global fintech operations. If you're a leader who can effectively balance managing people and processes while maintaining a constant drive for high performance, let's get in touch. What you'll be doing Managing a team of direct and indirect reports Exploring and defining which projects the team should prioritise, and setting a timeline to reach goals quickly Taking responsibility for your team's development, guiding and working with them to unlock their full potential Leading by example, resolving the toughest customer issues, and ensuring consistent high-level team performance Interacting and collaborating with teams from different regions and cities across the globe to constantly improve service levels Making critical business decisions by breaking down complex cases and backing up reasoning using advanced analysis Proposing, developing, and implementing systems, programmes, and processes to strengthen the foundation of exceptional customer service Building and optimising scalable processes to promote hyper-growth Owning business line metrics and improving people's performance, including decision-making quality and efficiency Establishing lasting relationships with vendors and partners What you'll need At least a 2:1 degree from a top university Experience in engineering (graduates welcome to apply) Experience working in a structured, KPI-focused environment, such as a startup Experience managing large teams composed of direct and indirect reports Leadership skills with a creative, confident, and motivational approach Excellent communication, interpersonal, and people management skills The ability to work in a fast-paced environment, managing multiple challenges simultaneously An excellent problem-solving approach and demonstrated record of executing projects that measurably improved different metrics To be logical, analytical, and have experience resolving team productivity or quality issues in efficient ways The ability to identify operational inefficiencies and provide practical solutions The ability to take a data-driven approach to identify root causes, measure performance, and drive process improvements A magic skill to break complex problems into smaller ones and to enjoy working with data Nice to have Experience working with SQL, Python, and/or R Certifications in Lean Six Sigma Building a global financial super app isn't enough. Our Revoluters are a priority, and that's why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We're doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. • Only apply through official Revolut channels. We don't use any third-party services or platforms for our recruitment. • Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an domain. We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it's a scam. Report it immediately. Benefits at Revolut No ping pong tables or bean bag chairs, just benefits you actually want Get what you need to succeed Financial benefits that show we value your work Flexibility to work from home, the office or abroad A free Revolut Metal subscription loaded with perks Exciting events year-round so you can get to know your team Revoluters always push through! We stopped listening to excuses a long time ago - we care about results. We believe that grit, determination, skill, smartness, and courage can break through almost any wall. Deliver WOW We love building great products, we love delighting our customers, we love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs. Dream Team We select, coach, and retain the top talent only and give them all the support to achieve greatness Never Settle Revolut is for those who always strive for excellence, for those who want to become the best in the world at what they do, and those who would never settle for less. Revolut is for 10x people. Think Deeper Logic, reason, and common sense prevail over everything else in decision making at Revolut. We are open-minded, we listen, and we are always in search of the truth.
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Middle ML & AI Engineer to join us as part of our team. About the role PitchBook's Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook - a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team Engineering Manager, Lead Engineer, 2 ML Engineers, 2 Backend Engineers, 1 Frontend Engineer, and 3 Automation QA Engineers. The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We're looking for you if you have Bachelor's/master's degree in computer science, Machine Learning, Statistics, or related fields. 2+ years of experience in a similar role in a production environment. Experience in transformer-based language models Proficient in deep learning frameworks (i.e, TensorFlow and PyTorch) Demonstrated experience with natural language processing. Demonstrated experience with Python or other object-oriented programming frameworks. Demonstrated experience in using SQL for data extraction. Strong communication and data presentation skills. Strong problem-solving ability. Ability to communicate complex analysis in a clear, precise, and actionable manner. Experience working closely with software development team(s) is a plus. Experience building scalable systems in production is a plus. Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Pre-Screening with the recruiter Tech Interview + Live Coding (up to 1,5 hours) System Design interview (up to 45 min) Final interview with Engineering Manager (30 min) About SPD Technology SPD Technology is a custom software product development and IT consulting company with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 650 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 2 development centers in Europe, a representative office in London, the U.K., and remote teams, working worldwide. With over 19 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries. Apply Now Send us your CV! Maybe we need you but we haven't known about that yet.
Jan 09, 2026
Full time
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Middle ML & AI Engineer to join us as part of our team. About the role PitchBook's Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook - a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team Engineering Manager, Lead Engineer, 2 ML Engineers, 2 Backend Engineers, 1 Frontend Engineer, and 3 Automation QA Engineers. The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We're looking for you if you have Bachelor's/master's degree in computer science, Machine Learning, Statistics, or related fields. 2+ years of experience in a similar role in a production environment. Experience in transformer-based language models Proficient in deep learning frameworks (i.e, TensorFlow and PyTorch) Demonstrated experience with natural language processing. Demonstrated experience with Python or other object-oriented programming frameworks. Demonstrated experience in using SQL for data extraction. Strong communication and data presentation skills. Strong problem-solving ability. Ability to communicate complex analysis in a clear, precise, and actionable manner. Experience working closely with software development team(s) is a plus. Experience building scalable systems in production is a plus. Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Pre-Screening with the recruiter Tech Interview + Live Coding (up to 1,5 hours) System Design interview (up to 45 min) Final interview with Engineering Manager (30 min) About SPD Technology SPD Technology is a custom software product development and IT consulting company with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 650 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 2 development centers in Europe, a representative office in London, the U.K., and remote teams, working worldwide. With over 19 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries. Apply Now Send us your CV! Maybe we need you but we haven't known about that yet.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Jan 09, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
