data science team lead

Cognizant Technology Solutions

<div></div><div><div><div><div><p><b>Job Title: Data Scientist</b></p><p>
Location:Hyderabad/Bangalore (All 5 days WFO)</p><p>
Level: TM/TL(5-10 Yrs)</p></div></div><div><p><b><br>
Role Overview</b><br>
</p></div><br>
<div><p>As a Data Scientist III, you will lead the development and deployment of advanced data science solutions to address complex business challenges. You will work closely with stakeholders to understand requirements, guide the team, and ensure alignment with strategic objectives. This role demands deep expertise in machine learning, deep learning, GenAI, and MLOps, along with a strong ability to mentor junior team members and drive projects to successful completion. You will also identify opportunities for automation and process optimization to enhance operational efficiency.<br>
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<p></p><div><p><b>Core Responsibilities</b><br>
</p></div><br>
<div><p>Lead the design, development, and deployment of scalable ML/DL/GenAI solutions across diverse business domains.<br>
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<div><p>Translate business requirements into technical solutions, ensuring alignment with organizational goals.<br>
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<div><p>Drive automation of repeatable tasks and workflows to improve efficiency and reduce manual effort.<br>
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<div><p>Ensure high-quality deliverables through rigorous testing, validation, and implementation of quality control measures.<br>
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<div><p>Collaborate with cross-functional teams including data engineering, product, and business stakeholders.<br>
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<div><p>Communicate complex analytical concepts and insights clearly to both technical and non-technical audiences.<br>
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<div><p>Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation.<br>
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<p></p><div><p><b>Technical Expertise</b><br>
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<div>5&ndash;10 years of hands-on experience in Data Science, with proven success in applying ML, DL, NLP, and CV techniques to solve real-world problems.<br>
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<div>Strong proficiency in Python or R, with the ability to write modular, scalable, and production-ready code.<br>
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<div>Deep understanding of ML/DL algorithms, statistical modeling, and foundational concepts in NLP and computer vision.<br>
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<div>Experience with GenAI and LLMs, including applications such as summarization, content generation, and semantic analysis.<br>
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<div>Solid knowledge of SQL for data manipulation and analysis.<br>
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<div>Working knowledge of optimization techniques and their application in model tuning and performance enhancement.<br>
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<div>Hands-on experience with MLOps tools and practices for model lifecycle management, CI/CD, and monitoring.<br>
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<p></p><div><p><b>Preferred Skills</b><br>
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<div>Experience with cloud platforms (e.g. GCP) and containerization tools (Docker, Kubernetes).<br>
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<div>Familiarity with model explainability frameworks and responsible AI practices.<br>
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<div>Exposure to data governance, privacy, and compliance standards.<br>
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<div><ul><li>Ability to lead cross-functional teams and manage multiple projects simultaneously.</li></ul></div></div></div>

Sr Associate-Data Science

Genpact

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
If you thrive in a fast-moving, innovative-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
We are inviting applications for the role of Manager &ndash; Data Science!<br>
This role is part of the Analytics Enablement team and is responsible for leading strategic data science projects, managing stakeholder relationships, and driving impactful insights across business units. You will lead a team of data professionals, ensuring delivery excellence and innovation in AI-driven solutions.<br>
Responsibilities:<br>
<ul><li>Develop and implement a data science roadmap that aligns with business priorities, ensuring projects deliver measurable impact and support strategic goals.</li><li>Lead and oversee end-to-end delivery of data science projects, ensuring quality and timeliness.</li><li>Partner with senior stakeholders to influence decision-making through data-driven insights.</li><li>Manage team performance, provide mentorship, and foster a culture of innovation.</li><li>Ensure compliance with data governance, security, and ethical AI standards.</li><li>Drive adoption of advanced analytics and AI solutions across business units.</li><li>Prioritize projects, allocate resources effectively, and manage risks.</li><li>Stay ahead of emerging technologies and best practices to guide strategic initiatives.</li></ul></div><div>
Work location: Bangalore<br>
Minimum qualifications:<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in data science, Computer Science, Statistics, or related field. Relevant experience in leading data science projects.</li></ul>
Preferred qualifications:<br>
<ul><li>Exposure to cloud platforms (AWS, Azure, GCP).</li><li>Experience with big data tools (Spark, Hadoop).</li><li>Knowledge of MLOps and model deployment best practices.</li></ul>
Technical skills:<br>
<ul><li>Proficiency in Python, R, and SQL for data processing and modeling.</li><li>Strong understanding of machine learning algorithms and statistical techniques.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to lead projects independently and deliver under tight timelines.</li></ul>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a</li></ul>
foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquo;s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobManager</p><p>
Primary LocationIndia-Bangalore</p><p>
ScheduleFull-time</p><p>
Education LevelMaster's / Equivalent</p><p>
Job PostingDec 19, 2025, 2:07:58 AM</p><p>
Unposting DateJan 18, 2026, 12:29:00 PM</p><p>
Master Skills ListOperations</p><p>
Job CategoryFull Time</p></div>

Manager – Data Science!

Huron Consulting Group

<div><div>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.<br>
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Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Science Manager to join the Data Science &amp; 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 &amp; Utilities, and other commercial industries.<br>
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&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
This isn't a reporting role or a dashboard factory&mdash;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.<br>
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&mdash;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.<div></div><div>
requirements:</div><div></div><ul><li>
5+ years of hands-on experience conducting data science and advanced analytics&mdash;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.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
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.</li><li>
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.</li><li>
Experience with deep learning and modern neural architectures&mdash;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.</li><li>
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.</li><li>
Exceptional communication and data storytelling skills&mdash;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.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li></ul><div>
Willingness to travel approximately 30% to client sites as needed.</div><div></div><div>
preferences:</div><div></div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts.</li><li>
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.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
India</div>

Data Scientist

eClerx

<div><div>The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors.<br>
</div><div></div><p><b>Role and responsibilities:
</b></p><div>Leadership and Mentorship<br>
</div><div></div><div><ul><li><div><b>Team Leadership : </b>Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced m&eacute;thodologies, and carrer development.
</div></li></ul><ul><li><div><b>Project Management </b>: Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results.
</div></li></ul><ul><li><div><b>Innovation and Continuous Learning </b>: Stay at the forefront of industry trends, new technologies, and m&eacute;thodologies, fostering a culture of innovation within the team.<br>
</div></li></ul></div><div></div><div>Collaboration with Cross-Functional Teams<br>
</div><div></div><div><ul><li><div><b>Stakeholder Engagement : </b>Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions.
</div></li></ul><ul><li><div><b>Communication of Insights </b>: Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions.<br>
</div></li></ul></div><div></div><div>Advanced Data Analysis and Modeling<br>
</div><div></div><div><ul><li><div><b>Develop Predictive Models </b>: Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting.
</div></li></ul><ul><li><div><b>Quantitative Research </b>: Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets.
</div></li></ul><ul><li><div><b>Statistical Analysis : </b>Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk.<br>
</div></li></ul></div><div></div><div>Business Impact and ROI<br>
</div><div></div><div><ul><li><div><b>Performance Metrics : </b>Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance.
</div></li></ul><ul><li><div><b>Cost-Benefit Analysis : </b>Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI).<br>
</div></li></ul></div><div></div><div>Algorithmic Trading and Automation<br>
</div><div></div><div><ul><li><div><b>Algorithm Development : </b>Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques.
</div></li></ul><ul><li><div><b>Back testing and Simulation : </b>Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions.<br>
</div></li></ul></div><div></div><div><b>What we're looking for
</b></div><div><ul><li><div><b>Advanced Statistical Techniques : </b>Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics.
</div></li></ul><ul><li><div><b>Machine Learning and AI </b>: Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP).
</div></li></ul><ul><li><div><b>Programming Languages : </b>Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation.
</div></li></ul><ul><li><div><b>Data Management : </b>Experience with big data technologies, and relational databases to handle and manipulate large datasets.
</div></li></ul><ul><li><div><b>Data Visualization : </b>Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders.
</div></li></ul><ul><li><div><b>Cloud Computing </b>: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions.
</div></li></ul><ul><li><div><b>Quantitative Analysis : </b>Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics.
</div></li></ul><ul><li><div><b>Algorithmic Trading : </b>Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies.<br>
</div></li></ul></div><div></div><div><b>Requirements :<br>
</b></div><div></div><div><ul><li><div>A bachelor's degree in a related field, such as computer science, data science or statistics.
</div></li></ul><ul><li><div>Proven experience of 8+ years in programming languages, machine learning, data visualization and statistical analysis.</div></li></ul></div></div>

Associate Process Manager

CustomerInsights.AI

<p><b>About Us</b></p><p>You will be working for one of our incubation clients, a healthcare technology and services company that provides data, analytics, consulting, and platform-based offerings to biopharma companies with a focus on rare and specialty diseases. Our client's capabilities include the areas of Strategy, Analytics, Digital Transformation, and Patient Identification.</p><p><b>Overview</b></p><p>Our client is on a mission to transform the ecosystem for rare and specialty diseases. They are looking for people who excel in their work and are able to manage ambiguity with resourcefulness and creativity. Their core values are:</p><p>1. Set high standards</p><p>2. Deliver on ambitious goals</p><p>3. Be relentless and innovative</p><p>4. Be responsible and trusted</p><p>Job Location - Hyderabad and Gurgaon (Hybrid)</p><p><b>Position Summary</b></p><p>We are seeking an experienced Team Lead to oversee and manage a team of data professionals supporting internal data management and operations, and to provide strategic analytics support for biopharmaceutical clients. The ideal candidate will have deep expertise in leveraging commercial data, analytics, and AI to drive business insights and support critical functions across analytics, forecasting, new product development, marketing, sales, market access, patient services, and medical operations.</p><p><b>Key Responsibilities</b></p><p><b>Overall Team Leadership</b></p><p>- Provide leadership and direction to a team of Junior Data Scientists, Data Engineers, and AI Developers</p><p>- Oversee all aspects of the team's work including Dynamic LeadGen (DLG) Operations: DLG is an AI/ML-powered solution that transforms healthcare provider targeting in rare and specialty diseases by using predictive modeling, algorithmic triggers, and omnichannel activation to identify and engage practices and physicians often missed by traditional approaches., Analytics Services, AI Solution &amp; Application Development, and Data Management &amp; Operations</p><p>- Ensure quality and timely delivery of all team outputs</p><p>- Serve as the primary point of contact between the team and the client</p><p>- Manage team performance, development, and growth</p><p><b>Qualifications:</b></p><p><b>Education:</b> BS in Engineering, Data Science or related degree, MS or higher preferred.</p><p><b>Technical Skills &amp; Experience:</b></p><p>- 5+ years in commercial analytics within the pharmaceutical or biopharmaceutical industry, with hands-on experience in the key areas of Analytics Services and data types</p><p>- 2+ years supervising teams of data science and development professionals</p><p>- Proficiency in data analytics tools (e.g., SQL, Python, R) and visualization software (e.g., Tableau, Power BI, our tech stack Dashboard, Google Analytics)</p><p>- ML/AI expertise and experience are a plus</p><p><b>Behavioral Skills</b></p><p>- Maintain at least three hours of overlapping working hours with the U.S. West Coast (Pacific Time Zone), either in the AM or PM IST</p><p>- Ability to recognize trends in complex data</p><p>- Excellent communication and collaboration skills</p><p>- Ability to thrive in a fast-paced, entrepreneurial, and dynamic startup environment</p><p><b>Required Data Source Expertise:</b></p><p>- Ex-factory Data: Utilize production and distribution data for demand planning and performance analysis</p><p>- Outlet/Ship-to Level Sell-in Data: Analyze supply chain data to track inventory and sales flow</p><p>- Basic Financial Data: Incorporate financial metrics into commercial analytics</p><p>- HCP-level Dispense/Rx Data: Analyze healthcare professional (HCP) prescribing behaviors and trends</p><p>- Specialty Pharmacy Data: Leverage specialty pharmacy data to measure product performance and patient outcomes</p><p>- Hub/Patient Services Data: Evaluate patient support and adherence programs</p><p>- HCP-to-HCO Affiliation Data: Map HCP-to-HCO (healthcare organization) relationships to optimize targeting</p><p>- HCO-to-HCO Hierarchy Data: Understand healthcare organization hierarchies for segmentation and sales strategies</p><p>- Formulary Data: Analyze formulary status and market access impacts</p><p>- Digital Marketing Data: Measure the effectiveness of digital marketing campaigns</p><p>- Open/Closed Patient-Level Claims Data: Conduct analytics on claims data to support market access and pull-through strategies as well as understanding treatment flows and patient dynamics</p><p>- Chargeback Data: Integrate chargeback analytics into payer and channel strategy assessments</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Lead Data Scientist

Tesco

<div><b>About the role</b><div><br>
Job Summary:<br>
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable<br>
data driven decisions and deliver on organization's key strategic priorities<br>
In this job, I&rsquo;m accountable for:<br>
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:<br>
<ul><li>Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit</li><li>Perform other miscellaneous duties as required by management</li><li>Driving CI culture, implementing CI projects and innovation for withing the team</li></ul>
Engaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical<br>
solution document calling out how application of data science will improve decision making<br>
<ul><li>In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources</li><li>Building Statistical models and ML algorithms with practitioner level competency</li><li>Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and</li></ul>
reusable modules on GitHub, Wiki, etc) with expert competency<br>
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a<br>
visualization platform (Tableau / Python) or through a recommendation set through PPTs<br>
<ul><li>Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of</li></ul>
improvement in the larger Tesco business<br>
<ul><li>Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues</li><li>Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects</li></ul></div><b><br>
You will be responsible for</b><br>
<div>
Refer &quot;About the role&quot;</div>
<b>You will need</b><br>
<div>
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable<br>
data driven decisions and deliver on organization's key strategic priorities<br>
In this job, I&rsquo;m accountable for:<br>
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:<br>
<ul><li>Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit</li><li>Perform other miscellaneous duties as required by management</li><li>Driving CI culture, implementing CI projects and innovation for withing the team</li></ul>
Engaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical<br>
solution document calling out how application of data science will improve decision making<br>
<ul><li>In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources</li><li>Building Statistical models and ML algorithms with practitioner level competency</li><li>Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and</li></ul>
reusable modules on GitHub, Wiki, etc) with expert competency<br>
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a<br>
visualization platform (Tableau / Python) or through a recommendation set through PPTs<br>
<ul><li>Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of</li></ul>
improvement in the larger Tesco business<br>
<ul><li>Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues</li><li>Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects</li></ul>
Key people and teams I work with in and outside of Tesco:</div>
<b>Whats in it for you?</b><br>
<div>
At Tesco, we are committed to providing the best for you.</div>
<div></div>
<div>As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.</div>
<div></div>
<div>Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.
</div>
<div></div><div>Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.</div>
<div></div>
<div><b>Salary</b> - Your fixed pay is the guaranteed pay as per your contract of employment.</div>
<div></div>
<div><b>Performance Bonus</b> - Opportunity to earn additional compensation bonus based on performance, paid annually</div>
<div></div>
<div><b>Leave &amp; Time-off </b>- Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.</div>
<div></div>
<div><b>Making Retirement Tension-FreeSalary</b> - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.</div>
<div></div>
<div><b>Health is Wealth</b> - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.</div>
<div></div>
<div><b>Mental Wellbeing</b> - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.
</div>
<div></div><div><b>Financial Wellbeing</b> - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.
</div>
<div></div><div><b>Save As You Earn (SAYE)</b> - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
</div>
<div></div><div><b>Physical Wellbeing</b> - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.</div>
<b>About Us</b><br>
<div>
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values&mdash;we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.</div>
<div></div>
<div> At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.</div>
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Lead Decision Scientist

Boeing

<p></p><div><p>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p><p>
Millennium Space Systems, A Boeing Company, delivers affordable, high-performance space systems for exacting customers. At Millennium, you will be part of a close-knit team working on exciting technological problems. We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for advancement based on excellence. Superstars are welcome.</p><p></p><p>
At Millennium, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company committed to fostering an environment for every teammate that's welcoming, respectful and innovative, with great opportunities for professional growth. Find your future with us.</p><p></p><p><b>
Job Summary</b><br>
Millennium-Space Systems is looking for a Data Products Team Lead who can develop and build a team responsible for the next generation of AI &amp; ML products and services. At MSS, we are all innovators on a mission to connect, protect, explore and inspire. From the ground to outer space, and everything in between, you&rsquo;ll learn and grow, contributing to work that shapes the world. As part of the core Data Products group, the candidate will lead project teams in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals.</p><p></p><p><b>
Position Responsibilities:
</b></p><ul><li><p>Solve challenging problems involving multi-sensor data analysis, exploitation, and integration in overhead persistent infrared (OPIR) mission areas executed by the United States Space Force, Space Systems Command; Missile Defense Agency; Space Development Agency; and other community members</p></li><li><p>
Evaluate business objectives, determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, and deploy models to achieve business results. Perform necessary data preparation and enhancements to models</p></li><li><p>
Develop and deliver core data science and analytics solutions. Candidate should have strong expertise in statistics, AI and ML theories/concepts, and good domain expertise either in space operations, engineering, supply chain, sales or manufacturing</p></li><li><p>
Utilize advanced processing pipelines and other tools to analyze and exploit remotely sensed data to produce and disseminate products</p></li><li><p>
Analyze and parse data in a variety of geospatial file formats and databases for machine learning and algorithm optimization, testing, and validation</p></li><li><p>
Provide technical leadership to teams performing exploitation and process development</p></li><li><p>
Create and deliver technical briefings and reports. Candidate will interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting spacecraft operations</p></li><li><p>
Employ mathematical principles to evaluate, develop, and select processing techniques, optimizing calibration, background suppression, signal augmentation, target detection, geolocation, and multi-target and multi-sensor tracking of dim targets</p></li><li><p>
Design, operate, improve, optimize, and deploy scientific image processing and geospatial algorithms</p></li><li><p>
Leverage end-to-end data exploitation and analytics knowledge to validate novel image and signal processing algorithms</p></li><li><p>
Apply end-to-end knowledge of data exploitation and data analytics to provide independent verification and validation of new image and signal processing algorithms and inform trade studies to optimize performance of space payloads</p></li><li><p>
Craft innovative, multi phenomenology solutions, specialized visualizations, and analytical reports for customers</p></li></ul><p></p><p><b>
Basic Qualifications (Required Skills/ Experience):</b></p><ul><li><p>
Advanced degree in Electrical, Computer, Aerospace, or other relevant engineering</p></li><li><p>
Strong proficiency digital communications architectures, networking, and cloud infrastructure</p></li><li><p>
Strong proficiency with common version control, defect/task tracking, and documentation systems</p></li><li><p>
Demonstrated experience leading a team</p></li><li><p>
Must be versatile and able to perform and manage multiple tasks concurrently</p></li><li><p>
This position requires an active U.S. Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)
</p></li></ul><p></p><p><b>Preferred Qualifications (Desired Skills/Experience):</b></p><ul><li><p>
Experience with DevSecOps, infrastructure and system maintenance</p></li><li><p>
2 years managing a functional team or equivalent</p></li><li><p>
Familiarity with machine learning/AI concepts and tools</p></li></ul><p></p><p><b>
Before applying, please note:</b><br>
Millennium is DDTC-registered, ITAR-compliant Company. This position is located at a facility that requires special access. Applicants MUST be U.S. citizens and eligible for a security clearance. Additionally, applicants must be willing to apply for and maintain a security clearance. We encourage all interested candidates to apply for any open position for which they feel they are qualified.</p><p></p><p><b>
Drug Free Workplace:</b></p><p>
Millennium is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.</p><p></p><p><b>
Pay &amp; Benefits:</b></p><p>
Millennium Space Systems, A Boeing Company, offers a very competitive benefits package to include medical, dental, vision, and 401k plan.</p><p></p><p><b>
Summary Pay Range</b>:</p><ul><li><p>
Level 6: $186,150 - $273,750</p></li></ul><p></p><p><b>
This position must meet export control compliance requirements. To meet export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.15 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, lawful permanent resident, refugee, or asylee.</b>
</p><p></p><p><b>This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options.</b></p><p></p><p><br>
Applications for this position will be accepted until <b>Mar. 31, 2026</b></p><p><b><br>
Export Control Requirements:
</b></p><p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.</p><p><b>
Export Control Details:
</b></p><p>US based job, US Person required</p><p><b>
Relocation
</b></p><p>Relocation assistance is not a negotiable benefit for this position.</p><p><b>
Security Clearance
</b></p><p>This position requires an active U.S. Top Secret/SCI Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)</p><p><b>
Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p><p><b>
Shift
</b></p><p>This position is for 1st shift</p><p><b><br>
Equal Opportunity Employer:</b></p><p>
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</p></div>

Data Products Team Lead - Millennium Space Systems

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