Jones Lang LaSalle Incorporated
Technician page is loaded Technicianremote type: On-sitelocations: London, GBRtime type: Full timeposted on: Vandaag geplaatstjob requisition id: REQ485863 JLL empowers you to shape a brighter way .Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Main Duties & Responsibilities: To carry out planned and reactive maintenance in accordance with the company's PPM and task schedules. Undertake PPM activity in a quality, professional manner. Use & complete CAFM system. Production of technical and situational reports as required. At times you may be requested to carry out additional duties on site Proactively use the technology systems given to you so that the Company can be compliant with its contractual obligations at all times Carry out the works requested in a professional and proactive manner at all times. To communicate clearly and effectively with the rest of the team and clients at all times. Writing activity reports in line with Company procedures accurately and timely. Proactively assisting the management team to produce quotations by giving accurate and good quality information where extra works are identified. Attending team meetings/briefings To provide accurate time sheet information weekly and on time To ensure that the Company is presented in a good light at all times. Undertake reactive maintenance works as directed by the Help Desk and/or management team To escalate any major site issues or incidents to your line manager asap once noticed. To manage Integral sub-contractors whilst working on site Understand and be aware of the requirements of all relevant Health, Safety, Environmental and Quality legislation and are equally aware of their own roles and responsibilities within the Company. Ensure that all materials and equipment are handled, stored and used with due regard to the relevant Health, Safety and Environmental legislation. Actively participate in the health and safety processes required under the Company policies and procedures on portfolio including, but not limited to, accident investigation, reporting, risk assessments and auditing Any other reasonable instruction from the Contract Manager or his Line Managers. Co-operating with the company to allow it to fulfil its moral and legal duties and obligations. Essential Qualifications & Experience: Minimum of 5 years relevant experience in Commercial environment. Electrical Engineering or Mechanical apprenticeship / NVQ or C&G (Essential) 18th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training if you have 17th Edition) Knowledge of aircon, ventilation extraction, plumbing and general fabric Excellent communication skills and the ability to deal with all levels of staff. Proactive in achieving the highest standard of operation. Have good IT and report writing skills. Ability to work under pressure whilst remaining calm, clear thinking and able to deliver the required services to the client within given time constraints. Location: On-site -London, GBRIf this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our .For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy .Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world.For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500(R) company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit .
Technician page is loaded Technicianremote type: On-sitelocations: London, GBRtime type: Full timeposted on: Vandaag geplaatstjob requisition id: REQ485863 JLL empowers you to shape a brighter way .Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Main Duties & Responsibilities: To carry out planned and reactive maintenance in accordance with the company's PPM and task schedules. Undertake PPM activity in a quality, professional manner. Use & complete CAFM system. Production of technical and situational reports as required. At times you may be requested to carry out additional duties on site Proactively use the technology systems given to you so that the Company can be compliant with its contractual obligations at all times Carry out the works requested in a professional and proactive manner at all times. To communicate clearly and effectively with the rest of the team and clients at all times. Writing activity reports in line with Company procedures accurately and timely. Proactively assisting the management team to produce quotations by giving accurate and good quality information where extra works are identified. Attending team meetings/briefings To provide accurate time sheet information weekly and on time To ensure that the Company is presented in a good light at all times. Undertake reactive maintenance works as directed by the Help Desk and/or management team To escalate any major site issues or incidents to your line manager asap once noticed. To manage Integral sub-contractors whilst working on site Understand and be aware of the requirements of all relevant Health, Safety, Environmental and Quality legislation and are equally aware of their own roles and responsibilities within the Company. Ensure that all materials and equipment are handled, stored and used with due regard to the relevant Health, Safety and Environmental legislation. Actively participate in the health and safety processes required under the Company policies and procedures on portfolio including, but not limited to, accident investigation, reporting, risk assessments and auditing Any other reasonable instruction from the Contract Manager or his Line Managers. Co-operating with the company to allow it to fulfil its moral and legal duties and obligations. Essential Qualifications & Experience: Minimum of 5 years relevant experience in Commercial environment. Electrical Engineering or Mechanical apprenticeship / NVQ or C&G (Essential) 18th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training if you have 17th Edition) Knowledge of aircon, ventilation extraction, plumbing and general fabric Excellent communication skills and the ability to deal with all levels of staff. Proactive in achieving the highest standard of operation. Have good IT and report writing skills. Ability to work under pressure whilst remaining calm, clear thinking and able to deliver the required services to the client within given time constraints. Location: On-site -London, GBRIf this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our .For additional details please see our career site pages for each country.For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy .Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our page > I want to work for JLL.At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world.For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500(R) company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit .
UiPath
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Huron Consulting Group Inc.
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
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
