data scientist

senior graphic designer

data analyst

senior software engineer

data engineer

senior data scientist

Experian

<div><b>Company Description</b><p><br>
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.</p><p>
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.</p><p>
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.</p><b><br>
Job Description</b><p><br>
We are looking for an experienced and driven <b>Senior Data Scientist</b> to join our team and lead the development of AI-powered solutions. As a <b>Senior Data Scientist</b>, you will work closely with teams to design, implement, and deploy data-driven solutions that drive business value. You will help shape our data science strategy, mentor junior team members, and ensure the robustness and scalability of our models in production environments.</p><p></p><p><b><br>
What you'll need to bring to the role &amp; Experian</b></p><br>
<p></p><ul><li>
A <b>Bachelor's/Master's/Ph.D.</b> degree in computer science, Statistics, Mathematics, Data Science, or a related field.</li><li><b>
5+ years of experience</b> in data science or machine learning, with a strong track record of delivering impactful solutions.</li><li><b>
Proficiency</b> in <b>Python</b> and <b>ML frameworks</b> such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.</li><li>
Experience with statistical <b>modeling</b>, time series forecasting, supervised and unsupervised learning, and optimization techniques.</li><li>
Experience with <b>generative AI</b> principles.</li><li>
Intermediate to fluent <b>English</b> <b>proficiency</b> &ndash; technical concepts clearly in English is essential.</li><li>
Experience working with <b>financial</b> <b>datasets</b> (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).</li><li><b>
Proficiency</b> in <b>SQL</b> and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).</li><li>
Experience <b>deploying</b> <b>models</b> into production using <b>Databricks</b> and cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with <b>MLOps</b> practices, <b>CI/CD</b> pipelines, and <b>model</b> <b>monitoring</b> tools.</li><li>
Experience with <b>data</b> <b>visualization</b> tools (e.g., Plotly, <b>Tableau</b>) to communicate insights effectively.</li></ul><p><b>
Work that matters - What you'll be doing</b></p><p></p><ul><li><b><br>
Lead</b> the design, development, and deployment of machine learning models to solve <b>high</b>-<b>impact</b> financial <b>problems</b>.</li><li><b>
Collaborate</b> with product managers, engineers, and business stakeholders to define data science use cases and translate them into <b>actionable</b> <b>solutions</b>.</li><li>
Analyse large-scale structured and unstructured datasets to <b>extract</b> <b>insights</b> and build predictive models.</li><li>
Develop and maintain robust <b>model</b> training <b>workflows</b>.</li><li>
Ensure model <b>interpretability</b>, <b>fairness</b>, and <b>compliance</b> with regulatory standards.</li><li><b>
Mentor</b> junior data scientists and contribute to the growth of the data science team.</li><li><b>
Communicate</b> <b>findings</b> and recommendations clearly to both technical and non-technical audiences.</li></ul><p></p><p><b><br>
More about you</b></p><br>
<p></p><ul><li>
Passion for using data to drive decisions.</li><li>
A mindset for <b>continuous learning and innovation</b>.</li><li><b>
Ethical awareness</b> of bias, fairness, and transparency in AI models.</li></ul><p></p><p><b><br>
Why this role is important to us</b></p><p></p><p><br>
This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.</p><b><br>
Qualifications</b><br>
<ul><li>
A <b>Bachelor's/Master's/Ph.D.</b> degree in computer science, Statistics, Mathematics, Data Science, or a related field.</li><li><b>
5+ years of experience</b> in data science or machine learning, with a strong track record of delivering impactful solutions.</li></ul><br>
<b>
Additional Information</b><p><br>
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.</p><p>
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.</p><div></div><p>
Experian Careers - Creating a better tomorrow together</p><p>
Find out what its like to work for Experian by clicking here</p></div>

Senior Data Scientist

<div><b>Job Description:</b><p><b><br>
About ETS:</b></p><p>
ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL&reg;, TOEIC&reg;, GRE&reg; and Praxis&reg; tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.
</p><p>Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.
</p><p></p><h2 class="jobSectionHeader"><b>Join ETS as a Senior Data Scientist</b></h2><p>
Location: Delhi, India (Hybrid options available)<br>
Team: Growth &amp; Innovation<br>
Reports to: Head of Data Strategy, Growth Function
</p><p>ETS is a global leader in educational assessment and research, driven by a mission to advance quality and equity in learning. We're looking for a visionary Senior Data Scientist to join our India team and lead data-driven initiatives that shape the future of education.
</p><h3 class="jobSectionHeader"><b>About the Role</b></h3><p>
As a Senior Data Scientist, you'll be at the forefront of transforming how ETS understands and engages learners. You'll lead end-to-end data science projects that support marketing, sales, and product strategy-developing predictive models, uncovering insights, and building scalable data solutions that personalize learning experiences across the globe.
</p><p>This is a high-impact role for someone who thrives in complexity, values innovation, and wants to make a difference in education through data.
</p><h3 class="jobSectionHeader"><b>What You'll Do</b></h3><ul><li>
Lead the development of user data footprints across digital learning, teaching, and assessment platforms.</li><li>
Architect and automate data pipelines for structured and unstructured data.</li><li>
Design and implement preprocessing workflows including cleaning, transformation, and reduction.</li><li>
Build predictive models and machine learning algorithms to uncover trends and drive personalization.</li><li>
Apply ensemble modeling techniques to support adaptive learning experiences.</li><li>
Collaborate with cross-functional teams to integrate insights into product and marketing strategies.</li><li>
Develop interactive, AI-enabled prototypes that incorporate cognitive science principles.</li><li>
Create compelling data visualizations to communicate findings to stakeholders.</li><li>
Ensure compliance with QA, documentation, and ethical standards.</li><li>
Mentor junior data scientists and contribute to ETS's global data science community.</li></ul><br>
<b>
Experience and Skills:</b><h3 class="jobSectionHeader"><b>
What You Bring</b></h3><ul><li>
Bachelor's degree in a quantitative field (Master's preferred).</li><li>
8+ years of experience in data mining, predictive modeling, and machine learning using Python, R, and SQL.</li><li>
Proven ability to communicate insights through data visualization and storytelling.</li><li>
Experience working with complex datasets and building scalable data architectures.</li><li>
Strong understanding of educational data, learner behavior, or cognitive science is a plus.</li><li>
Passion for innovation, collaboration, and making a global impact through education.</li></ul><h3 class="jobSectionHeader"><b>
Why ETS?</b></h3><p>
ETS is more than a workplace-it's a mission. You'll join a team that values curiosity, creativity, and purpose. We offer competitive compensation, flexible work arrangements, and the opportunity to work on projects that shape the future of learning worldwide.
</p><p>Ready to use data to transform education?<br>
Apply now and be part of ETS's journey to personalize learning and empower learners everywhere.</p><p></p><p><br>
</p><p>
#LI-AD1
</p><p><b>
ETS is mission driven and action oriented</b></p><ul><li>
We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.</li><li>
We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. &Acirc; In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!</li><li>
As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. &Acirc; At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!</li></ul><p><b>
ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.
</b><br>
From: ETS GCC</p></div>

JK Lucent

<div><div><div><p>JK Lucent is a Melbourne-based IT services company with a strong delivery centre in India. We specialise in AI-driven solutions, software engineering, quality assurance, and data analytics. We are seeking an experienced <b>Senior Data Scientist</b> to lead the design and development of advanced data models, machine learning solutions, and analytics platforms that power our AI products and business solutions. You will work closely with our AI, engineering, and product teams across Australia and India to turn data into actionable insights and scalable intelligent systems.</p>
</div></div><div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>About The Role:</b></h1>
</div></div><div><div><p><b>Experience:</b> 5+ years<br>
<b>Location:</b> Infopark, Koratty, Kerala</p><p>
We are looking for a highly skilled Senior Data Scientist to join the team at JK Lucent. The ideal candidate will bring a strong background in developing and deploying machine learning models, extracting actionable insights from complex datasets, and building scalable, data-driven solutions.<br>
In this role, you will:</p><ul><li>Design and implement advanced AI/ML models to support strategic business objectives.</li><li>Write robust engineering-grade code that integrates seamlessly into production environments.</li><li>Work closely with cross-functional teams to turn data into insights and drive measurable business outcomes</li></ul>
</div></div></div></div></div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Key Responsibilities:</b></h1>
</div></div><div><div><p>1.⁠ ⁠Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.<br>
2.⁠ ⁠Extract insights from complex data and communicate findings to stakeholders.<br>
3.⁠ ⁠Design and implement data-driven solutions, including real-time and batch processing systems.<br>
4.⁠ ⁠Collaborate with engineers to build scalable and efficient data pipelines.<br>
5.⁠ ⁠Develop and maintain RESTful APIs to serve machine learning models.<br>
6.⁠ ⁠Work with databases, including data modeling, schema design, and query optimization.<br>
7.⁠ ⁠Work with GitHub, Docker, and AWS to ensure smooth deployment and management of models.<br>
8.⁠ ⁠Stay up-to-date with industry trends and advancements in AI/ML.</p>
</div></div></div></div></div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Requirements:</b></h1>
</div></div><div><div><p>1.⁠ ⁠5+ years of experience in data science and machine learning.<br>
2.⁠ ⁠Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.<br>
3.⁠ ⁠Experience with machine learning model development, deployment, and maintenance.<br>
4.⁠ ⁠Strong understanding of data structures, algorithms, and software design patterns.<br>
5.⁠ ⁠Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).<br>
6.⁠ ⁠Experience with GitHub, Docker, and AWS.<br>
7.⁠ ⁠Familiarity with RESTful API design and development.<br>
8.⁠ ⁠Experience with real-time and batch processing systems.<br>
9.⁠ ⁠Excellent communication and collaboration skills.</p>
</div></div></div></div></div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Nice to Have:</b></h1>
</div></div><div><div><p>1.⁠ ⁠Experience with time series forecasting and analysis.<br>
2.⁠ ⁠Knowledge of deep learning frameworks like TensorFlow or Keras.<br>
3.⁠ ⁠Familiarity with natural language processing (NLP).<br>
4.⁠ ⁠Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.<br>
5.⁠ ⁠Knowledge of Agile development methodologies and Scrum framework.<br>
6.⁠ ⁠Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.</p>
</div></div></div></div></div></div><div><div><div><div><h1 class="jobSectionHeader"><b>Become a part of JK Lucent Family</b></h1>
</div></div><div><div><p>A group of people having passion towards what they do is the driving force behind all the accomplishments by JK Lucent made so far. We trust the abilities of our employees and encourage them to explore their talents, stretch themselves beyond their potential and realize their true capabilities. At JK Lucent, the safety, health and well-being of our employees is of paramount importance and over the past several weeks we have taken a series of preventive measures to protect our employees from the Coronavirus outbreak and ensure business continuity for our customers.</p></div></div></div></div></div>

InfoCepts

<div><div><div><div><div><p><b>Position</b>: Data Scientist</p><br>
<p></p><p><b>Purpose of the Position:
</b></p><p>The Data Scientist will be responsible for designing and implementing data-driven solutions to solve business problems. This role involves working with large datasets, building predictive models, and collaborating with cross-functional teams to deliver actionable insights. The position is ideal for someone with strong analytical skills and hands-on experience in data science tools and techniques.</p><br>
<p></p>
<p><b>Location:</b> Chennai/ Bangalore/ Pune/ Nagpur</p><br>
<p></p>
<p><b>Type of Employment:</b> Full time</p><br>
<p></p>
<p><b>Key Result Areas and Activities:</b></p><br>
<p></p>
<ul><li><b>Model Development &amp; Analysis:</b> Develop machine learning models for classification, regression, and forecasting tasks using Python and relevant libraries.</li></ul><br>
<p>
</p><ul><li><b>Data Preparation &amp; Feature Engineering: </b>Clean, transform, and prepare structured and unstructured data for modeling and analysis.</li></ul><br>
<p>
</p><ul><li><b>Business Collaboration:</b> Work with business stakeholders to understand requirements and translate them into data science solutions.</li></ul><br>
<p>
</p><ul><li><b>Model Evaluation &amp; Reporting: </b>Evaluate model performance using appropriate metrics and present findings through visualizations and reports.</li></ul><br>
<p>
</p><ul><li><b>Deployment Support</b><b>:</b> Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.</li></ul><br>
<p>
</p></div></div></div></div><div></div><div><div><div><div><div><p><b>Work and Technical Experience</b></p><br>
<p></p><p><b>Must Have Skills</b></p><br>
<p></p><ul><li>Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
</li><li>Experience with machine learning techniques and model development.
</li><li>Knowledge of data preprocessing, feature engineering, and model evaluation.
</li><li>Familiarity with SQL and data querying.
</li><li>Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git).
</li><li>Ability to work with large datasets and distributed computing frameworks (e.g., Spark).
</li><li>Strong problem-solving and analytical thinking.</li></ul><br>
<p>
</p><p><b>Good To Have Skill</b></p><br>
<p></p>
<ul><li>Experience with deep learning frameworks (TensorFlow, PyTorch).
</li><li>Knowledge of PySpark or Databricks.
</li><li>Understanding of MLOps practices and CI/CD pipelines.
</li><li>Exposure to GenAI or LLM-based applications.
</li><li>Experience in supply chain, operations, or financial analytics domains.</li></ul><br>
<p>
</p><p><b>Qualification:</b></p>
<ul><li><b>Experience: </b>5+ years of experience in data science, machine learning, or analytics roles.</li>
<li><b>Education: </b>Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or a related field. Master&rsquo;s degree is a plus.</li>
</ul>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Years Of Exp
</b></div></div><div><p>5 to 9 years</p></div></div></div></div><div></div><div><div><div><div><div><b>
Location
</b></div></div><div><p>India</p></div></div></div></div></div>

Tvarit

<div><div><b>Who are we looking for?</b></div><div></div><div><br>
We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you&rsquo;re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.
</div><div>
</div><div><b>Job Summary</b></div><ul><li>
Supporting company mission by understanding complex business problems through data-driven solutions.</li><li>
Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ...</li><li>
Developing end-to-end ML production-ready solutions and visualizations.</li><li>
Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards.</li><li>
Communicating complex technical concepts and findings to non-technical stakeholders of the projects</li><li>
Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms.</li><li>
Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings.</li><li>
Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models.</li></ul><div>
</div><div><b>
Qualification and experience</b></div><ul><li>
B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields.</li><li>
5+ years of professional experience in the field of machine learning, and data science.</li><li>
Experience with large-scale Time-series data-based production code development is a plus.</li></ul><div>
</div><div><b>
Skills and competencies</b></div><ul><li>
Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must.</li><li>
Ability to work on multiple projects. Must have strong design and implementation skills.</li><li>
Ability to conduct research based on complex business problems.</li><li>
Strong presentation skills and the ability to collaborate in a multi-disciplinary team.</li><li>
Must have programming experience in Python.</li><li>
Excellent English communication skills, both written and verbal.</li></ul><div></div><div><b><br>
Benefits and Perks</b></div><ul><li>
Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you.</li><li>
Progressive leave policy for effective work-life balance.</li><li>
Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.
</li><li>Multicultural peer groups and supportive workplace policies.
</li><li>Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work.</li></ul><div></div><div><br>
 <b>Hiring Process</b></div><ul><li><b>
Call with Talent Acquisition Team:</b> After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements.</li><li><b>
First Round</b>: Technical round 1 to gauge your domain knowledge and functional expertise.</li><li><b>
Second Round:</b> In-depth technical round and discussion about the departmental goals, your role, and expectations.</li><li><b>
Final HR Round</b>: Culture fit round and compensation discussions.</li><li><b>
Offer</b>: Congratulations you made it!<br>
</li></ul><div></div><br>
<div><b>If this position sparked your interest, apply now to initiate the screening process.</b></div></div>

Hewlett Packard Enterprise | HPE

<div>Senior Data Scientist<p><br>
</p>This role has been designed as &lsquo;Hybrid&rsquo; with an expectation that you will work on average 2 days per week from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p><b>What you'll do:</b></p><p></p><p>
We are looking for a curious and creative self-starter who is passionate about data to join the &lsquo;Global Customer Experience Analytics team&rsquo; in HPE&rsquo;s Networking Business Unit. The right person for this role thrives in a fast-paced environment, loves problem-solving, and is a great communicator.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Partner with cross‑functional teams to identify high‑impact opportunities for data‑driven solutions.</li><li>
Collect and ingest structured and unstructured data from enterprise sources, including IT datasets in Databricks.</li><li>
Build curated analytical views to support downstream reporting, analytics, and decision‑making.</li><li>
Clean, transform, and prepare datasets using SQL and custom Alteryx workflows.</li><li>
Explore large, complex datasets to uncover trends, patterns, and actionable insights.</li><li>
Develop, validate, and deploy statistical models and machine learning algorithms to advance business initiatives.</li><li>
Create dashboards, reports, and visualizations that clearly communicate insights to technical and non‑technical audiences.</li><li>
Ensure data quality, reliability, and consistency across pipelines and analytical workflows.</li><li>
Present findings and recommendations to leadership through clear, compelling narratives.</li><li>
Stay current with emerging tools, technologies, and best practices in analytics, data science, and machine learning.</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, or a related quantitative field.</li><li>
9+ years of relevant professional experience in analytics, data science, or related domains.</li><li>
Strong proficiency in SQL and relational database technologies.</li><li>
Experience working with Databricks, Alteryx, Power BI, and Tableau.</li><li>
Skilled in Python or R, including commonly used statistical and machine learning libraries.</li><li>
Ability to clean, transform, and analyze large, complex datasets.</li><li>
Experience with cloud storage and distributed data systems such as AWS S3, Hadoop, Hive, and Snowflake.</li><li>
Familiarity with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems</li><li>
Solid understanding of statistics, probability, and experimental design.</li><li>
Strong problem‑solving, storytelling, and communication skills, with the ability to translate technical findings into business insights.</li><li>
Proven ability to manage multiple projects, prioritize effectively, and work both independently and collaboratively.</li></ul><p></p><p><b>
What you need to bring:</b></p><ul><li>
A strong sense of ownership, with the initiative to drive projects from concept to execution and the accountability to deliver high‑quality outcomes.</li><li>
Curiosity and a passion for solving ambiguous, open‑ended problems.</li><li>
A collaborative mindset and eagerness to partner with diverse teams.</li><li>
A balance of technical depth and business intuition.</li><li>
A drive to continuously learn, experiment, and improve.</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Accountability, Accountability, Active Learning, Active Listening, Bias, Business Reporting, Coaching, Compliance Management, Creativity, Critical Thinking, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Personal Initiative, Policy and procedures, Process Improvements, Quality Initiatives, Regulatory Policies {+ 3 more}<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#india
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Job:</b></p>
Engineering<p><b>
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TCP_04<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
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It has come to HPE&rsquo;s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.</i></p><p></p><p><i><br>
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment </i><i>agencies/vendors </i><b><i>will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. </i></b><i>The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.</i></p></div>

Vulcury Venture Studio and Advisors

<div><div><p>This is a remote position.</p><h2 class="jobSectionHeader"><b>
Senior Data Scientist (Part-Time Full-Time Trajectory)</b></h2><br>
<p></p>
<div>Company: Vulcury LLC<br>
</div><div>Location: India (Remote)<br>
</div><div>Engagement: Part-time, with strong potential to convert to full-time<br>
</div><div>Compensation: Competitive hourly or retainer-based compensation; long-term incentive participation available upon full-time conversion<br>
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<h3 class="jobSectionHeader"><b>About Vulcury</b></h3><p><br>
Vulcury LLC is a venture studio and advisory firm that supports the development of data-driven businesses across multiple industries. The firm provides shared services&mdash;including research, analytics, and technical leadership&mdash;to early-stage operating companies as they move from concept through execution.</p><p><br>
This role will support an internal initiative that is currently focused on preparing high-quality data assets and workflows before a broader software and analytics build planned for later this year.</p><br>
<div></div><br>
<h3 class="jobSectionHeader"><b>Role Overview</b></h3><p><br>
Vulcury is seeking a Senior Data Scientist to lead an early-stage data preparation and data-quality initiative. The primary objective of this role is to ensure that datasets are well-structured, well-documented, and operationally usable before more extensive development work begins.</p><p><br>
The role is structured as part-time initially, with a clear expectation that it may transition to full-time as the project moves into its next phase. The Senior Data Scientist will serve as the technical lead for data-related work and will oversee a small, India-based team of junior developers and/or data scientists.</p><p><br>
This position emphasises data rigour, process design, and team leadership, rather than production model deployment at this stage.</p><br>
<div></div><br>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b><br>
</h3><h4 class="jobSectionHeader"><b>
Data Readiness &amp; Quality</b></h4><br>
<ul><li><p>Define and oversee standards for data organization, labelling, and validation across multiple datasets.</p></li><br>
<li><p>Establish practical frameworks to improve consistency, accuracy, and usability of structured and semi-structured data.</p></li><br>
<li><p>Ensure datasets are reviewable, auditable, and suitable for downstream analytical or software development work.</p></li><br>
</ul><h4 class="jobSectionHeader"><b>Process &amp; Workflow Design</b></h4><br>
<ul><li><p>Develop repeatable workflows for data ingestion, cleaning, documentation, and version control.</p></li><br>
<li><p>Identify appropriate tools and practices to support efficient data operations without premature complexity.</p></li><br>
<li><p>Create clear documentation that enables continuity as the team scales.</p></li><br>
</ul><h4 class="jobSectionHeader"><b>Team Leadership</b></h4><br>
<ul><li><p>Manage and mentor a distributed, India-based team performing data preparation and technical support tasks.</p></li><br>
<li><p>Translate high-level requirements into clear, actionable work-streams.</p></li><br>
<li><p>Review outputs and provide feedback to maintain quality and consistency.</p></li><br>
</ul><h4 class="jobSectionHeader"><b>Cross-Functional Collaboration</b></h4><br>
<ul><li><p>Work directly with Vulcury leadership to align data efforts with near- and medium-term development plans.</p></li><br>
<li><p>Support future engineering and analytics hires by delivering well-prepared datasets and clearly defined processes.</p></li><br>
<li><p>Contribute input to planning for subsequent phases of technical development.</p></li><br>
</ul><p></p><br>
<h3 class="jobSectionHeader"><b>Engagement Details</b></h3><br>
<ul><li><p>Expected commitment of approximately 10&ndash;20 hours per week during the initial phase.</p></li><br>
<li><p>Flexible structure with a clearly defined path to full-time engagement.</p></li><br>
<li><p>Fully remote, under Vulcury LLC.</p></li><br>
</ul><div></div><br>
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<h3 class="jobSectionHeader"><b>Requirements</b></h3><h3 class="jobSectionHeader">
Required</h3><br>
<div><ul><li><p>7+ years of experience in data science, analytics, or data-focused engineering roles.</p></li><br>
<li><p>Strong proficiency in Python and common data-analysis libraries.</p></li><br>
<li><p>Demonstrated experience transforming imperfect or unstructured data into reliable, usable datasets.</p></li><br>
<li><p>Prior experience setting data standards, documentation practices, and quality-control processes.</p></li><br>
<li><p>Experience managing or mentoring distributed or offshore technical teams.</p></li><br>
<li><p>Comfort operating in early-stage or ambiguous environments with limited upfront specification.</p></li><br>
</ul><p>Preferred</p><br>
<ul><li><p>Background supporting research-heavy, analytical, or data-intensive products.</p></li><br>
<li><p>Familiarity with text-heavy or document-based data sources.</p></li><br>
<li><p>Exposure to data modelling or schema design concepts.</p></li><br>
<li><p>Experience working in startups, venture studios, or early product teams.</p></li><br>
</ul></div><div></div><br>
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<h3 class="jobSectionHeader"><b>Benefits</b></h3><h3 class="jobSectionHeader"><b>
Why This Role</b></h3><br>
<ul><li><p>Foundational responsibility: You will shape the data practices that future development depends on.</p></li><br>
<li><p>Growth opportunity: The role is expected to expand as the initiative progresses into a full build phase.</p></li><br>
<li><p>Leadership visibility: Direct interaction with senior leadership and meaningful ownership of outcomes.</p></li><br>
<li><p>Global team management: Opportunity to lead and develop a distributed technical team.</p></li><br>
<li><p>Aligned incentives: Long-term upside participation anticipated upon full-time conversion.</p></li></ul></div></div><div></div>

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