Critical Illness Cover

Large

L.E.K. Consulting is a global management consulting firm that specialises in providing strategic advice and solutions to clients across various industries. Their team of experienced consultants offers expertise in areas such as business strategy, mergers and acquisitions, market research, operations, and more. L.E.K. Consulting's ultimate mission is to help clients achieve exceptional results and create long-term value. They work closely with organisations to identify opportunities, solve complex problems, and drive sustainable growth. By combining rigorous analysis, industry insights, and innovative thinking, L.E.K. Consulting enables clients to make informed decisions and stay ahead in today's competitive business landscape.

Consulting

L.E.K. Consulting

You should have strong analytical skills, proficiency in statistical tools, experience with data visualization, programming knowledge, and a background in math or computer science.

You will analyze data, develop models, and generate insights to support business decisions, collaborating with teams to drive strategic initiatives and optimize client outcomes.

Los Angeles

About L.E.K. Consulting

L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries — including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to www.lek.com.

Overview Of The Data & Analytics Team

L.E.K.'s Data & Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team is comprised of data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have. We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualizations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis.

We are actively looking for a Data Scientist or Senior Data Scientist to join L.E.K.’s rapidly growing Data & Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve client’s commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues.

As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.

Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients.

Responsibilities

Client engagements:


 * Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives
 * Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.
 * Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time
 * Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations
 * Help drive the technical roadmap needed to support client engagements
   
   

Analytical Apps, Service Lines, And Proprietary Data Assets


 * Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems
 * Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer
 * Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable
 * Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable
   
   

Client / Business Development


 * When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work
 * Provide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities
   
   

Capability development


 * Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions
 * Support commercialization and upskilling of staff on relevant software, tools and techniques
 * Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function
 * Mentor team members, contribute to technical capabilities of the team
   
   

Qualifications And Experience


 * Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
 * A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist
 * A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior Data Scientist
 * Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred
 * Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus
 * Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow)
 * Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments
 * Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices
 * Experience with commercial business analytics; experience at a consulting firm / agency is a plus
 * Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders
 * Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.
   
   

For more information and to apply, go to https://www.lek.com/join-lek/apply/apply-now  


 * Candidates responding to this posting must currently possess eligibility to work in the United States
 * L.E.K. Consulting is an Equal Opportunity Employer
 * L.E.K. Consulting has a hybrid work model in place for our U.S. offices.
 * In California, the base salary is between $80,000 - $145,000 (USD); placement within this range will vary based on experience and skill level. L.E.K. also offers a performance bonus, profit sharing and other benefits.
 * In other locations, competitive pay is commensurate with the role and geography.

Data Scientist - L.E.K. Consulting

&lt;strong&gt;About L.E.K. Consulting&lt;br&gt;&lt;br&gt;&lt;/strong&gt;L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries — including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to www.lek.com.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Overview Of The Data &amp;amp; Analytics Team&lt;br&gt;&lt;br&gt;&lt;/strong&gt;L.E.K.'s Data &amp;amp; Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team is comprised of data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have. We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualizations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis.&lt;br&gt;&lt;br&gt;We are actively looking for a Data Scientist or Senior Data Scientist to join L.E.K.’s rapidly growing Data &amp;amp; Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve client’s commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues.&lt;br&gt;&lt;br&gt;As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.&lt;br&gt;&lt;br&gt;Data &amp;amp; Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information &amp;amp; Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;Client engagements:&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives &lt;/li&gt;&lt;li&gt;Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.&lt;/li&gt;&lt;li&gt;Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time&lt;/li&gt;&lt;li&gt;Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations&lt;/li&gt;&lt;li&gt;Help drive the technical roadmap needed to support client engagements &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Analytical Apps, Service Lines, And Proprietary Data Assets&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems &lt;/li&gt;&lt;li&gt;Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer&lt;/li&gt;&lt;li&gt;Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable&lt;/li&gt;&lt;li&gt;Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Client / Business Development&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work &lt;/li&gt;&lt;li&gt;Provide input into training / upskilling the D&amp;amp;A team provides to Managing Directors to ensure they are aware of all of our most current capabilities &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Capability development&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions &lt;/li&gt;&lt;li&gt;Support commercialization and upskilling of staff on relevant software, tools and techniques &lt;/li&gt;&lt;li&gt;Help drive the technical roadmap to ensure we are operating a best-in-class Data &amp;amp; Analytics function&lt;/li&gt;&lt;li&gt;Mentor team members, contribute to technical capabilities of the team &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Qualifications And Experience&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics&lt;/li&gt;&lt;li&gt;A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist&lt;/li&gt;&lt;li&gt;A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior Data Scientist&lt;/li&gt;&lt;li&gt;Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred&lt;/li&gt;&lt;li&gt;Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus&lt;/li&gt;&lt;li&gt;Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow)&lt;/li&gt;&lt;li&gt;Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments&lt;/li&gt;&lt;li&gt;Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices &lt;/li&gt;&lt;li&gt;Experience with commercial business analytics; experience at a consulting firm / agency is a plus&lt;/li&gt;&lt;li&gt;Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders&lt;/li&gt;&lt;li&gt;Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence. &lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;For more information and to apply, go to https://www.lek.com/join-lek/apply/apply-now  &lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Candidates responding to this posting must currently possess eligibility to work in the United States &lt;/li&gt;&lt;li&gt;L.E.K. Consulting is an Equal Opportunity Employer &lt;/li&gt;&lt;li&gt;L.E.K. Consulting has a hybrid work model in place for our U.S. offices.&lt;/li&gt;&lt;li&gt;In California, the base salary is between $80,000 - $145,000 (USD); placement within this range will vary based on experience and skill level. L.E.K. also offers a performance bonus, profit sharing and other benefits.&lt;/li&gt;&lt;li&gt;In other locations, competitive pay is commensurate with the role and geography.&lt;/li&gt;&lt;/ul&gt;

Data Scientist

You will support consulting teams with secondary research, collaborate on resources, enhance research practices, and contribute to knowledge bases while staying updated on sector trends.

Masters

IT & Cybersecurity

Houston

Atlanta

Boston

Chicago

The Information &amp; Research Specialist, Healthcare plays a key role at L.E.K., providing best-in-class perspectives on secondary research and sources to our consulting team members working to solve our client's critical strategic problems. As a member of the US Information &amp; Research Center (IRC) team, the Specialist enables consulting staff to quickly identify and access the most relevant data and information available, and provides insight, caveats, and recommendations to assist consulting staff in understanding how content fits within the context of their project.The Information &amp; Research Specialist, will serve as a trusted advisor and support L.E.K.’s Life Science (Biotech &amp; Pharma, and Enablers), MedTech, and Healthcare Services sectors. , This position reports to the Associate Director of the IRC, and will receive ongoing mentorship, guidance and training.Responsibilities:<ul><li>Support consulting staff by:</li><li class="ql-indent-1">Understanding their questions and goals for secondary research and information to support project work</li><li class="ql-indent-1">Working with IRC team members, consulting team members and others to identify the most relevant resources and/or methods available for the research needs</li><li class="ql-indent-1">Collaborating with staff in other departments (e.g. Data &amp; Analytics, Sector Specialists) to develop internal resources for specific projects or to be used generally</li><li>Further support the firm in efficient secondary research practices by sharing updates and perspectives with other IRC staff and support staff</li><li>Be in the forefront of secondary research by proactively seeking out new resources and continually expanding knowledge of sector trends and business issues</li><li>Leverage internal resources and information streams to hone applicability of research approaches and resources</li><li>Contribute to various other workstreams that promote the success of the IRC and the firm; activities could include:</li><li class="ql-indent-1">Assist the Director in the assessment, selection and management of online, electronic and print resources</li><li class="ql-indent-1">Support Managing Directors, Principals and client development teams in gathering information for business development purposes</li><li class="ql-indent-1">Contribute content to the US IRC’s knowledge bases to serve as reference points for both the consulting and IRC staff</li></ul>Professional Development:<ul><li>Regularly participates in skill development activities, both internally and externally</li><li>Continually deepens and broadens skill set</li></ul>Qualifications:<ul><li>Master’s Degree in Library and/or Information Science or equivalent work experience in providing business related secondary research support</li><li>Experience in supporting company and industry research and analysis preferred, specifically life science and healthcare services</li><li>Working knowledge of search functionality available in business, life science, and healthcare research databases expected (databases such as EvaluatePharma, the Citeline suite, GlobalData, and more)</li><li>Ability to work as part of a team or independently as required.</li><li>The ability to organize work and negotiate workload to meet deadlines</li><li>Excellent customer service skills and ability to effectively manage ambiguity</li><li>Strong problem solving, communication, and critical thinking skills</li></ul>

The Information & Research Specialist, Healthcare plays a key role at L.E.K., providing best-in-class perspectives on secondary research and sources to our consulting team members working to solve our client's critical strategic problems. As a member of the US Information & Research Center (IRC) team, the Specialist enables consulting staff to quickly identify and access the most relevant data and information available, and provides insight, caveats, and recommendations to assist consulting staff in understanding how content fits within the context of their project.The Information & Research Specialist, will serve as a trusted advisor and support L.E.K.’s Life Science (Biotech & Pharma, and Enablers), MedTech, and Healthcare Services sectors. , This position reports to the Associate Director of the IRC, and will receive ongoing mentorship, guidance and training.Responsibilities:Support consulting staff by:Understanding their questions and goals for secondary research and information to support project workWorking with IRC team members, consulting team members and others to identify the most relevant resources and/or methods available for the research needsCollaborating with staff in other departments (e.g. Data & Analytics, Sector Specialists) to develop internal resources for specific projects or to be used generallyFurther support the firm in efficient secondary research practices by sharing updates and perspectives with other IRC staff and support staffBe in the forefront of secondary research by proactively seeking out new resources and continually expanding knowledge of sector trends and business issuesLeverage internal resources and information streams to hone applicability of research approaches and resourcesContribute to various other workstreams that promote the success of the IRC and the firm; activities could include:Assist the Director in the assessment, selection and management of online, electronic and print resourcesSupport Managing Directors, Principals and client development teams in gathering information for business development purposesContribute content to the US IRC’s knowledge bases to serve as reference points for both the consulting and IRC staffProfessional Development:Regularly participates in skill development activities, both internally and externallyContinually deepens and broadens skill setQualifications:Master’s Degree in Library and/or Information Science or equivalent work experience in providing business related secondary research supportExperience in supporting company and industry research and analysis preferred, specifically life science and healthcare servicesWorking knowledge of search functionality available in business, life science, and healthcare research databases expected (databases such as EvaluatePharma, the Citeline suite, GlobalData, and more)Ability to work as part of a team or independently as required.The ability to organize work and negotiate workload to meet deadlinesExcellent customer service skills and ability to effectively manage ambiguityStrong problem solving, communication, and critical thinking skills

Information & Research Specialist - L.E.K. Consulting

&lt;strong&gt;About L.E.K. Consulting&lt;br&gt;&lt;br&gt;&lt;/strong&gt;L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries — including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to www.lek.com.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Overview Of Information &amp;amp; Research Center&lt;br&gt;&lt;br&gt;&lt;/strong&gt;The Information &amp;amp; Research Specialist, Healthcare plays a key role at L.E.K., providing best-in-class perspectives on secondary research and sources to our consulting team members working to solve our client's critical strategic problems. As a member of the US Information &amp;amp; Research Center (IRC) team, the Specialist enables consulting staff to quickly identify and access the most relevant data and information available, and provides insight, caveats, and recommendations to assist consulting staff in understanding how content fits within the context of their project.&lt;br&gt;&lt;br&gt;The Information &amp;amp; Research Specialist, will serve as a trusted advisor and support L.E.K.’s Life Science (Biotech &amp;amp; Pharma, and Enablers), MedTech, and Healthcare Services sectors. , This position reports to the Associate Director of the IRC, and will receive ongoing mentorship, guidance and training.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Support consulting staff by&lt;/li&gt;&lt;ul&gt;&lt;li&gt;understanding their questions and goals for secondary research and information to support project work&lt;/li&gt;&lt;li&gt;working with IRC team members, consulting team members and others to identify the most relevant resources and/or methods available for the research needs&lt;/li&gt;&lt;li&gt;collaborating with staff in other departments (e.g. Data &amp;amp; Analytics, Sector Specialists) to develop internal resources for specific projects or to be used generally&lt;/li&gt;&lt;/ul&gt;&lt;li&gt;Further support the firm in efficient secondary research practices by sharing updates and perspectives with other IRC staff and support staff&lt;/li&gt;&lt;li&gt;Be in the forefront of secondary research by proactively seeking out new resources and continually expanding knowledge of sector trends and business issues&lt;/li&gt;&lt;li&gt;Leverage internal resources and information streams to hone applicability of research approaches and resources&lt;/li&gt;&lt;li&gt;Contribute to various other workstreams that promote the success of the IRC and the firm; activities could include:&lt;/li&gt;&lt;ul&gt;&lt;li&gt;Assist the Director in the assessment, selection and management of online, electronic and print resources&lt;/li&gt;&lt;li&gt;Support Managing Directors, Principals and client development teams in gathering information for business development purposes&lt;/li&gt;&lt;li&gt;Contribute content to the US IRC’s knowledge bases to serve as reference points for both the consulting and IRC staff&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/ul&gt;&lt;strong&gt;Professional Development&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Regularly participates in skill development activities, both internally and externally&lt;/li&gt;&lt;li&gt;Continually deepens and broadens skill set&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Qualifications&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Master’s Degree in Library and/or Information Science or equivalent work experience in providing business related secondary research support&lt;/li&gt;&lt;li&gt;Experience in supporting company and industry research and analysis preferred, specifically life science and healthcare services&lt;/li&gt;&lt;li&gt;Working knowledge of search functionality available in business, life science, and healthcare research databases expected (databases such as EvaluatePharma, the Citeline suite, GlobalData, and more)&lt;/li&gt;&lt;li&gt;Ability to work as part of a team or independently as required.&lt;/li&gt;&lt;li&gt;The ability to organize work and negotiate workload to meet deadlines&lt;/li&gt;&lt;li&gt;Excellent customer service skills and ability to effectively manage ambiguity&lt;/li&gt;&lt;li&gt;Strong problem solving, communication, and critical thinking skills&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;For more information and to apply, go to https://www.lek.com/join-lek/apply/apply-now&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Candidates responding to this posting must currently possess eligibility to work in the United States&lt;/li&gt;&lt;li&gt;L.E.K. Consulting offers a competitive compensation and benefits package&lt;/li&gt;&lt;li&gt;L.E.K Consulting is an Equal Opportunity Employer&lt;/li&gt;&lt;li&gt;L.E.K. Consulting has a hybrid work model in place for our U.S. offices&lt;/li&gt;&lt;/ul&gt;

Information &amp; Research Specialist

Information & Research Specialist

You need a quantitative degree, 2-4 years in data science, expertise in Python, machine learning, cloud services, MLOps, and strong communication skills. Consulting experience is a plus.

You will lead data science projects, deploy machine learning models, solve analytical challenges, develop analytical apps, support client proposals, mentor team members, and stay updated on industry best practices.

Data

San Francisco

<ul><li>As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.&nbsp;&nbsp;</li><li>Data &amp; Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information &amp; Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients.&nbsp;</li></ul>Responsibilities:&nbsp;&nbsp;Client engagements:<ul><li>Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectives</li><li>Support clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.</li><li>Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one time</li><li>Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations</li><li>Help drive the technical roadmap needed to support client engagements&nbsp;</li></ul>Analytical apps, service lines, and proprietary data assets:<ul><li>Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems</li><li>Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer</li><li>Provide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicable</li><li>Uphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable&nbsp;</li></ul>Client / business development:<ul><li>When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work</li><li>Provide input into training / upskilling the D&amp;A team provides to Managing Directors to ensure they are aware of all of our most current capabilities&nbsp;</li></ul>Capability development:&nbsp;<ul><li>Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions</li><li>Support commercialization and upskilling of staff on relevant software, tools and techniques&nbsp;</li><li>Help drive the technical roadmap to ensure we are operating a best-in-class Data &amp; Analytics function</li><li>Mentor team members, contribute to technical capabilities of the team&nbsp;&nbsp;</li></ul>Qualifications and Experience:&nbsp;<ul><li>Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics</li><li>A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist</li><li>A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior Data Scientist</li><li>Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred</li><li>Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus</li><li>Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions.&nbsp;(e.g., Sagemaker, Azure ML, Kubernetes, Airflow)</li><li>Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments</li><li>Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices&nbsp;</li><li>Experience with commercial business analytics; experience at a consulting firm / agency is a plus</li><li>Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders</li><li>Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.&nbsp;&nbsp;</li></ul>

As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.  Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients. Responsibilities:  Client engagements:Lead end-to-end data science projects from conceptualization through to deployment, and deploy advanced machine learning models in clients' cloud environments, optimizing for scalability, performance, and reliability to address specific business challenges and objectivesSupport clients in strategically leveraging technical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.Solve a wide variety of complex analytical challenges for clients, sometimes dynamically balancing multiple client engagements at one timeAnalytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizationsHelp drive the technical roadmap needed to support client engagements Analytical apps, service lines, and proprietary data assets:Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problemsCollaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offerProvide technical expertise and thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas directly when applicableUphold best-in-class standards in app development, data integrity, and ensuring solutions are both scalable and maintainable Client / business development:When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of workProvide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities Capability development: Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutionsSupport commercialization and upskilling of staff on relevant software, tools and techniques Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics functionMentor team members, contribute to technical capabilities of the team  Qualifications and Experience: Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, EconomicsA minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data ScientistA minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior Data ScientistStrong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferredTechnical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plusExpertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow)Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environmentsHands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices Experience with commercial business analytics; experience at a consulting firm / agency is a plusProficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholdersAbility to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.  

L.E.K. Consulting

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