associate data scientist

Birlasoft

<div></div><div><div><div><div><div><div><div><div>Country/Region: IN
</div></div></div></div><div><div><div><div>Requisition ID: 33386
</div></div></div></div><div><div><div><div>Work Model:
</div></div></div></div><div><div><div><div>Position Type:
</div></div></div></div><div><div><div><div>Salary Range:
</div></div></div></div><div><div><div><div>Location: INDIA - NOIDA- BIRLASOFT OFFICE
</div></div></div></div></div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Title: </b><b>Associate Data Scientist
</b></h1></div></div></div></div><div><div><div><div>Description:
<div><div><div><h2 class="jobSectionHeader"><b>Area(s) of responsibility</b></h2>
</div><div><div><b>
Dataiku Expert - Job Description:</b></div><br>
<div></div>
<div>
We are looking for an inspired, energetic, and experienced Dataiku Developer/Support Engineer with 4-9 years of experience, who can translate ideas and requirements into a full-fledged and scalable ML flow. Candidates must have exposure to Dataiku 12 and above (or any similar Data/ML platform like Sagemaker, Alteryx), using AWS infrastructure along with a clear understanding of building custom code and visual recipes.<br>
The consultant hired will sit with the business first and understand and gather requirements. They will listen to the issues/problems in hand and formulate the desired solution.</div><br>
<div>
</div><div>In order to be able to fulfill the desires of the business the candidate must have the following experience:</div><br>
<div></div>
<ul>
<li>Meeting with client stakeholders, troubleshooting Dataiku(or any similar Data/ML Platform) issues. Providing guidance to the end user
</li><li>Setting up instances, Building Code environments, and maintaining Platform for Dataiku(or any similar Data/ML Platform), AWS infrastructure and Linux</li>
<li>Experience working with or helping clients with Dataiku flow, recipes, jobs, webapps</li>
<li>Experience with Python, spark, or Pyspark coding language</li></ul></div></div></div></div></div></div></div></div></div></div></div><p></p>

Associate Data Scientist

dunnhumby

<div><div><p>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.</p>
<p>
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</p></div><div></div><p><b><br>
Most companies try to meet expectations, dunnhumby exists to defy them. </b>Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience &ndash; then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter &amp; Gamble and PepsiCo.</p>
<p><b>
We're looking for an Applied Data Scientist who expects more from their career. </b>It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.</p>
<p><b>
What we expect from you</b></p>
<ul>
<li>6 months to 1 year of experience in data science or related field</li>
<li>Degree in Statistics, Maths, Physics, Economics or similar field</li>
<li>Programming skills (Python, SQL)</li>
<li>Logical thinking and problem solving</li>
<li>Statistical Modelling</li>
<li>Analytical Techniques and Technology</li>
<li>Strong communication skills</li></ul><br>
<p></p>
<p><b>
What you can expect from us</b></p>
<p>
 We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone's invited.</p><br>
<p></p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<div>
<p>For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p>
</div><div><p><b>
What you can expect from us</b></p>
<p>
We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Associate Applied Data Scientist

American College of Cardiology (ACC)

<div><p>The data scientist plays a key role in advancing the analytical engine behind the National Cardiovascular Data Registries (NCDR). This role drives the development of clinical datasets, powers quality and performance measure reporting, and strengthens ACC&rsquo;s registry science through advanced analytics, SQL‑based measure implementation, and emerging AI‑driven solutions. You&rsquo;ll help shape smarter, more efficient processes by validating and optimizing registry data and models, ensuring accuracy and high‑quality outputs that directly support clinicians and participants nationwide. Success in this role calls for strong analytical thinking, problem‑solving skills, and the ability to stay organized in a dynamic, matrixed environment while collaborating closely with the NCDR Data Science and Analytics team.</p></div>
<br><div><div><p>At the American College of Cardiology, we bring our hearts to work.
</p><p>We are a 500-person organization dedicated and committed to our mission to transform cardiovascular care and improve heart health for all for more than 75 years. When you join our team, you become part of a culture that envisions a world where science, innovation and knowledge optimize cardiovascular care and outcomes.
</p><p>Every day, we are committed to supporting our more than 60,000 members and their patients around the globe and in doing so, ensure our staff have a positive environment of teamwork, collaboration, professionalism and excellence. To learn more about why ACC has been recognized as a great place to work, please visit our site, www.acc.org/jobs .
</p><p><b>What We Offer:
</b><br>
ACC values all members of our College family, including ACC staff. As the foundation of the organization, ACC staff enjoy world-class benefits and a culture of work-life balance. Our benefit offerings include insurance (medical, dental, vision, basic life, and short- and long-term disability, and supplemental options), generous paid time off (pre-loaded vacation and sick, 12 holidays and an organizational shut-down during the last week of the year, parental leave, 2 community service days, and half-day summer Fridays), tuition assistance and a very competitive 10% retirement contribution after a year of service, and much more! You can visit our careers site for an overview of our full offerings. Please note that these offerings may change at any time.
</p><p>ACC believes in fair and equitable pay. Multiple factors are taken into consideration when we determine what salary to offer a selected candidate. These factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, as well as internal equity, market, and business considerations. Our salary ranges differ based on the cost of labor in the local market where the job will be performed.
<br>
The salary ranges for will vary based on the local labor market; ACC&rsquo;s Recruitment Team will be able to provide more information to candidates during initial discussions.
</p><p><b>EEOC:
</b><br>
ACC is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. All employment is decided on the basis of qualifications, merit and business need. Equal Opportunity Employer, including individuals with disabilities and veterans. ACC is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact Katie Sarreal, HR Business Partner at ksarreal@acc.org or (202)375-6351.</p></div></div>
<br><div><p><b>Required:
</b></p><ul><li>Masters with 3+ years relevant experience or Bachelors with 4+ years relevant experience training in data management, data quality, health care, computer science, or a related field.
</li><li>Hands-on experience building, validating and deploying predictive models (including both statistical and machine learning models).
</li><li>Strong experience using data analytics and/or visualization software and tools such as PowerBI, SQL, SAS, Python, or similar products.
</li><li>Excellent problem solving and analytical skills.
</li><li>Demonstrated AI literacy, including understanding of generative AI, RAG, and staff‑facing productivity AI tools.
</li><li>Strong project management skills with the ability to manage multiple tasks simultaneously and set priorities under strict deadlines.
</li><li>Demonstrated ability to embrace changing organizational needs, shifting priorities, and evolving responsibilities.
</li><li>Client service orientation and interpersonal skills with the ability to build effective relationships with diverse constituents and work across teams, departments, and functions.
</li><li>Ability to self-initiate, advance work with minimal direction, and follow through on projects.
</li><li><p>Advanced working knowledge of Microsoft Office Products (Word, Excel, PowerPoint), familiarity with SharePoint and version control software (e.g., Git).<br>
</p></li></ul><p></p><p><b>Desired:
</b></p><ul><li>Familiarity with protected health information (PHI) data and privacy requirements.
</li><li>Experience developing and working with clinical measures and/or clinical informatics.
</li><li>Advanced degree and/or additional experience working with health data.
</li><li>Experience in coordinating cross-functional teams to implement AI solutions in business process and operations.
</li><li>Knowledge of natural language processing (NLP) or large language modeling (LLM) techniques and healthcare AI applications.
</li><li>Understanding of ethical AI principles and regulatory compliance in healthcare.</li></ul></div>
<br><div><p><b>Dataset Development Functions:
</b></p><ul><li>Perform frequency and other possible analysis, e.g., descriptive statistical, on data element submission rates and clinical metric reporting application to inform dataset development by internal staff and volunteer workgroups.
</li><li>Conduct assessments (e.g. rule-based, correlation analysis) to identify redundant data elements and recommend reductions as well as standardization across datasets.
</li><li>Manage registry data elements for automated upgrades.
</li><li>Develop ongoing monitoring views into data submission rates to inform threshold submission requirements, shifts in clinical characteristics at the facility and patient level, and other dataset-based analysis, such as for clinical research purposes, as well as potential correlations within data element submission completeness to complexity of patient populations to support customer coding.
</li><li>Perform analysis to support clinical measurement staff and volunteer workgroups and Steering committees develop and report meaningful measures as well as identify candidate measures to be sunset due to low reporting frequencies associated with low data element capture completeness provided in submissions.
</li><li>Collaborate with clinical measure development and IT teams to propose data visualization approaches to increase ease of interpretability of measures for customers.
</li>Develop ongoing monitoring of clinical measures reported across registry dashboards to identify to extent reasonable variations in outcomes.<br>
<li>
</li></ul><p></p><p><b>Measure Development Functions:
</b></p><ul><li>Perform analysis to support clinical measurement staff and volunteer workgroups and Steering committees develop and report meaningful measures as well as identify candidate measures to be sunset due to low reporting frequencies associated with low data element capture completeness provided in submissions.
</li><li>Collaborate with clinical measure development and IT teams to propose data visualization approaches to increase ease of interpretability of measures for customers.
</li>Develop ongoing monitoring of clinical measures reported across registry dashboards to identify to extent reasonable variations in outcomes.<br>
<li>
</li></ul><p></p><p><b>Clinical Informatics Function:
</b></p><ul><li><p>Collaborate with staff and volunteer committee and work group members in identify opportunities to align with external structured terminologies and/or apply large language modeling (LLM) approaches to ease effort associated with data capture by customers for submission to NCDR.
</p></li><li><p>Assist on projects as identified, such as to explore novel mechanisms to import clinical data to expand view of patient care and outcomes including applications to clinical measurement reporting; or to support efficiencies in data export out of electronic medical record systems or other data environments, e.g., lakes, for customers or third-parties, e.g., certified software vendors.<br>
</p></li></ul><p></p><p><b>General:
</b></p><ul><li><p>Learn the NCDR Common Data Model (CDM) structure to be able to interpret code and conduct quality-checks for measures and models.
</p></li><li><p>Monitor and analyze AI industry trends and identify opportunities to apply AI techniques to improve internal efficiency assess customer adoption of AI in registry contexts.
</p></li><li>Use analytic approaches through tools such as SQL and Excel to identify opportunities for process streamlining.
</li><li>Assist with the interpretation, responses, and presentation of results to internal and external stakeholders such as the CMS Consensus Based Entity, regulatory and federal agencies and other health authorities for all measure types (process, outcome, risk-modeled, composite, etc.).
</li><li>Develop and maintain strong working relationships with internal and external stakeholders to facilitate collaboration and drive execution of program deliverables.
</li><li>Create and maintain standard operating procedures and technical documentation.</li></ul></div>

Associate, NCDR Data Scientist

NatWest Group

<p></p><div><p>Join us as a Data Scientist</p><p></p><ul><li>
You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions</li><li>
We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data</li><li>
This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work</li><li>
We're offering this role at associate level</li></ul><p></p><h2 class="jobSectionHeader"><b>
What you'll do</b></h2><p></p><p>
As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.</p><p></p><p>
You&rsquo;ll also be:</p><p></p><ul><li>
Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics</li><li>
Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services</li><li>
Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes</li><li>
Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale</li><li>
Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment</li></ul><p></p><h2 class="jobSectionHeader"><b>
The skills you'll need</b></h2><p></p><p>
You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.</p><p></p><p>
We&rsquo;ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes</p><p></p><p>
You&rsquo;ll also demonstrate:</p><p></p><ul><li>
The ability to use data to solve business problems from hypotheses through to resolution</li><li>
Experience using programming language and software engineering fundamentals</li><li>
Experience of Cloud applications and options</li><li>
Experience in synthesising, translating and visualising data and insights for key stakeholders</li><li>
Experience of exploratory data analysis</li><li>
Good communication skills with the ability to proactively engage with a wide range of stakeholders</li></ul></div>

Data Scientist

Corewell Health

<div><div><div>Job Summary</div><p>
The Intermediate Data Scientist is responsible for designing, implementing, and evaluating data science solutions to solve clinical and business problems. The Intermediate Data Scientist will work collaboratively with cross-functional teams, mentor Associate Data Scientists, and work on projects from ideation to<br>
completion. The Intermediate Data Scientist is expected to contribute to the improvement of existing processes and methodologies. Individual job responsibilities include identifying opportunities for data-driven solutions, conducting advanced data analysis and generating insights, designing, implementing, and evaluating machine learning models and algorithms, collaborating with cross-functional teams to integrate data science solutions. Leadership responsibilities include mentoring and supporting Associate Data Scientists.</p><p></p><div>
Essential Functions</div><ul><li>
Seeks appropriate data sources and ensures data quality for projects</li><li>
Develops new descriptive, inferential, and predictive models, and enhances and fine tunes existing models</li><li>
Analyzes and interprets data sets across various domains, including exploratory data analysis (EDA), advanced statistical analyses, and predictive analytics</li><li>
Independently creates data visualizations and uses storytelling methods to communicate model results and findings to stakeholders effectively</li><li>
Actively pursues opportunities to grow their business acumen and skills from more experienced team members. Provide support and recommendations to less experienced team members to enhance their technical skills</li><li>
Adheres to the team&rsquo;s application of best practices and organizational standards of the Software Development Lifecycle and machine learning operations (MLOps) to ensure reproducibility of findings and effective model deployment</li></ul><p></p><div>
Qualifications</div><p>
Required</p><ul><li>
Bachelor's Degree or equivalent Training in a quantitative discipline &ndash; mathematics, computer science, statistics, physics, econometrics, or a related discipline. Similar certified online education or work experience will be considered on a case-by-case basis</li><li>
2 years of relevant experience 2 - 5 years of relevant training in a quantitative discipline health care, data science, statistics, or a related field equivalent. Demonstrated proficiency may also be considered. Proven track record of applying data science techniques to real-world problems and delivering results. Similar certified online education or work experience will be considered on a case-by-case basis</li></ul><p>
Preferred</p><ul><li>
Master's Degree or equivalent Data Science, Analytics, Computer Science, Statistics, or related field</li></ul><p></p><div>
About Corewell Health</div><p>
As a team member at Corewell Health, you will play an essential role in delivering personalized health care to our patients, members and our communities. We are committed to cultivating and investing in YOU. Our top-notch teams are comprised of collaborators, leaders and innovators that continue to build on one shared mission statement - to improve health, instill humanity and inspire hope. Join a nationally recognized health system with an ambitious vision of continued advancement and excellence.</p><p></p><div>
How Corewell Health cares for you</div><ul><li><p>
Comprehensive benefits package to meet your financial, health, and work/life balance goals. .</p></li><li><p>
On-demand pay program powered by Payactiv</p></li><li><p>
Discounts directory with deals on the things that matter to you, like restaurants, phone plans, spas, and more!</p></li><li><p>
Optional identity theft protection, home and auto insurance, pet insurance</p></li><li><p>
Traditional and Roth retirement options with service contribution and match savings</p></li><li><p>
Eligibility for benefits is determined by employment type and status</p></li></ul><p></p><p><b>
Primary Location</b></p>
SITE - Secchia Center - 15 Michigan St NE - Grand Rapids<p></p><p><b>
Department Name</b></p>
Sponsored Programs Bioinformatics - Grand Rapids Hosp<p></p><p><b>
Employment Type</b></p>
Full time<p></p><p><b>
Shift</b></p>
Day (United States of America)<p></p><p><b>
Weekly Scheduled Hours</b></p>
40<p></p><p><b>
Hours of Work</b></p>
8:00 a.m. - 5:00 p.m.<p></p><p><b>
Days Worked</b></p>
Monday - Friday<p></p><p><b>
Weekend Frequency</b></p>
Variable weekends<p></p><p><b>
CURRENT COREWELL HEALTH TEAM MEMBERS &ndash; Please apply through Find Jobs from your Workday team member account. This career site is for Non-Corewell Health team members only.</b></p><p></p><p><i>
Corewell Health is committed to providing a safe environment for our team members, patients, visitors, and community. We require a drug-free workplace and require team members to comply with the MMR, Varicella, Tdap, and Influenza vaccine requirement if in an on-site or hybrid workplace category. We are committed to supporting prospective team members who require reasonable accommodations to participate in the job application process, to perform the essential functions of a job, or to enjoy equal benefits and privileges of employment due to a disability, pregnancy, or sincerely held religious belief.</i></p><p></p><p><i>
Corewell Health grants equal employment opportunity to all qualified persons without regard to race, color, national origin, sex, disability, age, religion, genetic information, marital status, height, weight, gender, pregnancy, sexual orientation, gender identity or expression, veteran status, or any other legally protected category.</i></p><p></p><p><i>
An interconnected, collaborative culture where all are encouraged to bring their whole selves to work, is vital to the health of our organization. As a health system, we advocate for equity as we care for our patients, our communities, and each other. From workshops that develop cultural intelligence, to our inclusion resource groups for people to find community and empowerment at work, we are dedicated to ongoing resources that advance our values of diversity, equity, and inclusion in all that we do. We invite those that share in our commitment to join our team.</i></p><p></p><p><i>
You may request assistance in completing the application process by calling 616.486.7447.</i></p></div></div>

<div>
 Join our digital revolution in NatWest Digital X
 <br/>
 <br/>
 In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
 <br/>
 <br/>
 So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
 <br/>
 <br/>
 This role is based in India and as such all normal working days must be carried out in India.
 <br/>
 <br/>
 Join us as a Data Scientist
 <br/>
 <br/>
 <ul>
  <li>
   You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
  </li>
  <li>
   We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data
  </li>
  <li>
   This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
  </li>
  <li>
   We're offering this role at associate level
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 What you'll do
 <br/>
 <br/>
 As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
 <br/>
 <br/>
 You&rsquo;ll also be:
 <br/>
 <br/>
 <ul>
  <li>
   Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
  </li>
  <li>
   Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
  </li>
  <li>
   Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
  </li>
  <li>
   Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
  </li>
  <li>
   Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 The skills you'll need
 <br/>
 <br/>
 You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.
 <br/>
 <br/>
 We&rsquo;ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes
 <br/>
 <br/>
 You&rsquo;ll also demonstrate:
 <br/>
 <br/>
 <ul>
  <li>
   The ability to use data to solve business problems from hypotheses through to resolution
  </li>
  <li>
   Experience using programming language and software engineering fundamentals
  </li>
  <li>
   Experience of Cloud applications and options
  </li>
  <li>
   Experience in synthesising, translating and visualising data and insights for key stakeholders
  </li>
  <li>
   Experience of exploratory data analysis
  </li>
  <li>
   Good communication skills with the ability to proactively engage with a wide range of stakeholders
   <br/>
   <br/>
  </li>
 </ul>
</div>


SWITS DIGITAL Private Limited

<div>
 <strong>
  Job Description : Data Scientist / AI Specialist
  <br/>
  <br/>
 </strong>
 Location: Chennai,
 <br/>
 <br/>
 Experience: 5&ndash;7 Years
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 As a Data Scientist/AI Specialist, you will be the primary engine for discovering hidden
 <br/>
 <br/>
 insights and building predictive models that drive business value. You are responsible
 <br/>
 <br/>
 for the entire analytical lifecycle&mdash;from identifying patterns in raw data to implementing
 <br/>
 <br/>
 complex models in production. You will bridge the gap between abstract data and
 <br/>
 <br/>
 actionable business strategy through advanced statistics, NLP, and Computer Vision.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
  Advanced Model Development: Design and build high-performance predictive
 <br/>
 <br/>
 models and machine learning algorithms to solve complex analytical problems.
 <br/>
 <br/>
  Business Intelligence: Translate raw data patterns into business insights using
 <br/>
 <br/>
 Power BI to drive executive decision-making.
 <br/>
 <br/>
  Validation &amp; Training: Conduct rigorous model training and validation to ensure
 <br/>
 <br/>
 accuracy, reliability, and ethical AI standards.
 <br/>
 <br/>
  Requirement Analysis: Work closely with stakeholders to understand business
 <br/>
 <br/>
 pain points and design technical solutions that capture value.
 <br/>
 <br/>
  Documentation: Maintain thorough documentation of data experiments, model
 <br/>
 <br/>
 versions, and logic for seamless knowledge transfer
 <br/>
 <br/>
 <strong>
  Core Competencies (The Skillet)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analytics &amp; Specialization
   <br/>
   <br/>
  </li>
 </ul>
  Algorithms: Mastery of advanced statistics and ML algorithms (Regression,
 <br/>
 <br/>
 Clustering, Decision Trees, Neural Networks).
 <br/>
 <br/>
  NLP &amp; Vision: Specialized experience in Natural Language Processing (Text
 <br/>
 <br/>
 mining, sentiment analysis) and Computer Vision (Object detection, image
 <br/>
 <br/>
 classification).
 <br/>
 <br/>
  Modeling: Expertise in feature engineering and data modeling to ensure high-
 <br/>
 <br/>
 quality "fuel" for AI.
 <br/>
 <br/>
 <ul>
  <li>
   Tools &amp; Platforms
   <br/>
   <br/>
  </li>
 </ul>
  Languages: Expert-level proficiency in Python (Pandas, Scikit-learn) or R.
 <br/>
 <br/>
  Environments: Extensive experience using Jupyter Notebooks for
 <br/>
 <br/>
 experimentation and Azure ML Studio for production-grade deployments.
 <br/>
 <br/>
  Visualization: Ability to build interactive dashboards in Power BI to
 <br/>
 <br/>
 communicate insights to non-technical teams.
 <br/>
 <br/>
 <ul>
  <li>
   Business &amp; Strategy
   <br/>
   <br/>
  </li>
 </ul>
  Insight Discovery: Proven ability to look at unstructured data and find
 <br/>
 <br/>
 opportunities for cost savings or revenue growth.
 <br/>
 <br/>
  Solution Design: Ability to define the architecture of a data science project
 <br/>
 <br/>
 before writing a single line of code.
</div>


AI Data Scientist

Search 10000+ Associate data scientist jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 associate data scientist jobs Near Me

Associate Data Scientist

Associate Applied Data Scientist

Associate, NCDR Data Scientist

Data Scientist

Data Scientist

Data Scientist

AI Data Scientist